Awesome
Information Extraction Resources
This repository provides resources for information extraction, including benchmark datasets, papers, tutorials, PhD theses, and framework tools.
##Tutorials about Information Extraction
-
Overviews from TAC-KBP
[website] -
**
Survey papers about Information Extracion
(ordered by year)
-
A Survey of Deep Learning Methods for Relation Extraction
[paper]
Shantanu Kumar, arXiv-2017. -
Relation Extraction: A Survey
[paper]
Sachin Pawar | Girish K. Palshikar | Pushpak Bhattacharyya, arXiv-2017. -
**
Frameworks or Tools for Information Extraction
-
Jet: Java Extraction Tookit
[website] -
OpenNRE: Open-Source Package for Neural Relation Extraction
[website] -
Standford Named Entity Recognizer
[website] -
Stanford Relation Extractor
[website] -
Stanford Open Information Extraction
[website] -
Distantly Supervised Relation Extraction
[website] -
InfoExtractor: Information Extraction Baseline System
[website] -
Information Extraction Systems from Blender Lab
[website]
Datasets for Information Extraction
-
Datasets for Entity Recognition
[website] -
15 Free Datasets and Corpora for Named Entity Recognition (NER)
[website] -
Datasets of Annotated Semantic Relationships
[website] -
Open Information Extraction (OIE) Resources
[website]
PhD theses about Information Extraction
(ordered by year)
-
Deep Learning for Information Extraction
[thesis]
Thien Huu Nguyen, advisor: Ralph Grishman, New York University, 2018. -
Unsupervised Graph-Based Relation Extraction and Validation for Knowledge Base Population
[thesis]
Dian Yu, advisor: Heng ji, Rensselaer Polytechnic Institute, 2017. -
Jointly Learning Representations for Low-Resource Information Extraction
[thesis]
Nanyun Peng, advisor: Mark Dredze, Johns Hopkins University, 2017. -
Information extraction with neural networks
[thesis]
Ji Young Lee, advisor: Peter Szolovits, Massachusetts Institute of Technology,2017. -
Large-Scale Semantic Relationship Extraction for Information Discovery
[thesis][slides]
David Soares Batista, advisor: M´ario Jorge Costa Gaspar da Silva, University of Lisbon, 2016. -
Web Relation Extraction with Distant Supervision
[thesis]
Isabelle Augenstein, advisor: Fabio Ciravegna and Diana Maynard, University of Sheffield, 2016. -
Joint Information Extraction
[thesis][slides]
Qi Li, advisor: Heng ji, Rensselaer Polytechnic Institute, 2015. -
Distantly Supervised Information Extraction Using Bootstraped Patterns
[thesis]
Sonal Gupta, Advisor: Christopher Manning, STanford University, 2015. -
Open Information Extraction for the Web
[thesis]
Michele Banko, Advisor: Oren Etzioni, University of Washington, 2009.
Papers about Information Extraction (since 2010-)
(ordered by year)
2019-NER
-
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy
[paper]
Genady Beryozkin | Yoel Drori | Oren Gilon | Tzvika Hartman | Idan Szpektor, ACL-2019. -
Joint Entity Extraction and Assertion Detection for Clinical Text
[paper]
Parminder Bhatia | Busra Celikkaya | Mohammed Khalilia, ACL-short-2019. -
Multi-grained Named Entity Recognition
[paper]
Congying Xia | Chenwei Zhang | Tao Yang | Yaliang Li | Nan Du | Xian Wu | Wei Fan | Fenglong Ma | Philip Yu, ACL-2019. -
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
[paper][code]
Minlong Peng | Xiaoyu Xing | Qi Zhang | Jinlan Fu | Xuanjing Huang, ACL-2019. -
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
[paper]
Joey Tianyi Zhou | Hao Zhang | Di Jin | Hongyuan Zhu | Meng Fang | Rick Siow Mong Goh | Kenneth Kwok, ACL-2019. -
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
[paper][data]
Nicky Ringland | Xiang Dai | Ben Hachey | Sarvnaz Karimi | Cecile Paris | James R. Curran, ACL-short-2019. -
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks
[paper][code]
Hongyu Lin | Yaojie Lu | Xianpei Han | Le Sun, ACL-2019. -
Towards Improving Neural Named Entity Recognition with Gazetteers
[paper][code]
Tianyu Liu | Jin-Ge Yao | Chin-Yew Lin, ACL-short-2019. -
A Prism Module for Semantic Disentanglement in Name Entity Recognition
[paper][code]
Kun Liu | Shen Li | Daqi Zheng | Zhengdong Lu | Sheng Gao | Si Li, ACL-short-2019. -
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition
[paper]
Ravneet Arora | Chen-Tse Tsai | Ketevan Tsereteli | Prabhanjan Kambadur | Yi Yang, ACL-short-2019. -
A Boundary-aware Neural Model for Nested Named Entity Recognition
[paper][code]
Changmeng Zheng | Yi Cai | Jingyun Xu | Ho-fung Leung | Guandong Xu, EMNLP-2019. -
Similarity Based Auxiliary Classifier for Named Entity Recognition
[paper][code]
Shiyuan Xiao | Yuanxin Ouyang | Wenge Rong | Jianxin Yang | Zhang Xiong, EMNLP-2019. -
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition
[paper][code]
Genta Indra Winata | Zhaojiang Lin | Jamin Shin | Zihan Liu | Pascale Fung, EMNLP-short-2019. -
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition
[paper]
Yufan Jiang | Chi Hu | Tong Xiao | Chunliang Zhang | Jingbo Zhu, EMNLP-short-2019. -
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network
[paper][code]
Dianbo Sui | Yubo Chen | Kang Liu | Jun Zhao | Shengping Liu, EMNLP-2019. -
Dependency-Guided LSTM-CRF for Named Entity Recognition
[paper][code]
Zhanming Jie | Wei Lu, EMNLP-2019. -
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers [paper][code]
Aditi Chaudhary | Jiateng Xie | Zaid Sheikh | Graham Neubig | Jaime Carbonell, EMNLP-2019. -
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition
[paper]
Hongyu Lin | Yaojie Lu | Xianpei Han | Le Sun | Bin Dong | Shanshan Jiang, EMNLP-short-2019. -
Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing
[paper]
Taiki Watanabe | Akihiro Tamura | Takashi Ninomiya | Takuya Makino | Tomoya Iwakura, EMNLP-short-2019. -
Weakly Supervised Attention Networks for Entity Recognition
[paper][code]
Barun Patra | Joel Ruben Antony Moniz, EMNLP-short-2019. -
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis
[paper]
Xiaolei Huang | Jonathan May | Nanyun Peng, EMNLP-short-2019. -
Entity Recognition at First Sight: Improving NER with Eye Movement Information
[paper][data]
Nora Hollenstein | Ce Zhang, NAACL-2019. -
Pooled Contextualized Embeddings for Named Entity Recognition
[paper]
Alan Akbik | Tanja Bergmann | Roland Vollgraf, NAACL-short-2019. -
Better Modeling of Incomplete Annotations for Named Entity Recognition
[paper][code and data]
Zhanming Jie | Pengjun Xie | Wei Lu | Ruixue Ding | Linlin Li, NAACL-short-2019. -
Knowledge-Augmented Language Model and Its Application to Unsupervised Named-Entity Recognition
[paper]
Angli Liu | Jingfei Du | Veselin Stoyanov, NAACL-2019. -
Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities
[paper][code]
Alexander Erdmann | David Joseph Wrisley | Benjamin Allen | Christopher Brown | Sophie Cohen-Bodénès | Micha Elsner | Yukun Feng | Brian Joseph | Béatrice Joyeux-Prunel | Marie-Catherine de Marneffe, NAACL-2019. -
CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
[paper]
Yuying Zhu | Guoxin Wang, NAACL-2019. -
Cross-lingual Transfer Learning for Japanese Named Entity Recognition
[paper]
Andrew Johnson | Penny Karanasou | Judith Gaspers | Dietrich Klakow, NAACL-Industry track-2019.
2019-RE
-
Neural Relation Extraction for Knowledge Base Enrichment
[paper][code and data]
Bayu Distiawan Trisedya | Gerhard Weikum | Jianzhong Qi | Rui Zhang, ACL-2019. -
Attention Guided Graph Convolutional Networks for Relation Extraction
[paper][code]
Zhijiang Guo | Yan Zhang | Wei Lu, ACL-2019. -
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
[paper][code and data]
Yuan Yao | Deming Ye | Peng Li | Xu Han | Yankai Lin | Zhenghao Liu | Zhiyuan Liu | Lixin Huang | Jie Zhou | Maosong Sun, ACL-2019. -
Graph Neural Networks with Generated Parameters for Relation Extraction
[paper][code and data]
Hao Zhu | Yankai Lin | Zhiyuan Liu | Jie Fu | Tat-Seng Chua | Maosong Sun, ACL-2019. -
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
[paper]
Wei Ye | Bo Li | Rui Xie | Zhonghao Sheng | Long Chen | Shikun Zhang, ACL-2019. -
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers
[paper][code]
Haoyu Wang | Ming Tan | Mo Yu | Shiyu Chang | Dakuo Wang | Kun Xu | Xiaoxiao Guo | Saloni Potdar, ACL-short-2019. -
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
[paper][code]
Christoph Alt | Marc Hübner | Leonhard Hennig, ACL-2019. -
ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification
[paper][data]
Wei Jia | Dai Dai | Xinyan Xiao | Hua Wu, ACL-2019 -
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
[paper][code and data]
Shun Zheng | Xu Han | Yankai Lin | Peilin Yu | Lu Chen | Ling Huang | Zhiyuan Liu | Wei Xu, ACL-2019. -
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
[paper][code]
Zhi-Xiu Ye | Zhen-Hua Ling, ACL-2019. -
Fine-Grained Temporal Relation Extraction
[paper]
Siddharth Vashishtha | Benjamin Van Durme | Aaron Steven White, ACL-2019. -
Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
[paper][data]
Sunil Kumar Sahu | Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou, ACL-short-2019. -
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
[paper][code]
Ziran Li | Ning Ding | Zhiyuan Liu | Haitao Zheng | Ying Shen, ACL-2019. -
Span-Level Model for Relation Extraction
[paper]
Kalpit Dixit | Yaser Al-Onaizan, ACL-short-2019. -
Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision
[paper]
Abiola Obamuyide | Andreas Vlachos, ACL-short-2019. -
Leveraging Dependency Forest for Neural Medical Relation Extraction
[paper]
Linfeng Song | Yue Zhang | Daniel Gildea | Mo Yu | Zhiguo Wang | jinsong su, EMNLP-2019. -
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
[paper][code]
Ruidong Wu | Yuan Yao | Xu Han | Ruobing Xie | Zhiyuan Liu | Fen Lin | Leyu Lin | Maosong Sun, EMNLP-2019. -
Improving Relation Extraction with Knowledge-attention
[paper]
Pengfei Li | Kezhi Mao | Xuefeng Yang | Qi Li, EMNLP-2019. -
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
[paper]
Yuyun Huang | Jinhua Du, EMNLP-2019. -
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
[paper]
Jian Ni | Radu Florian, EMNLP-2019. -
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
[paper][code and data]
xiang deng | Huan Sun, EMNLP-2019. -
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
[paper]
Linmei Hu | Luhao Zhang | Chuan Shi | Liqiang Nie | Weili Guan | Cheng Yang, EMNLP-2019. -
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
[paper][code]
Qinyuan Ye | Liyuan Liu | Maosen Zhang | Xiang Ren, EMNLP-2019. -
Easy First Relation Extraction with Information Redundancy
[paper]
Shuai Ma | Gang Wang | Yansong Feng | Jinpeng Huai, EMNLP-2019. -
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction
[paper][code]
Sahil Garg | Aram Galstyan | Greg Ver Steeg | Guillermo Cecchi, EMNLP-2019. -
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
[paper][code]
Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou, EMNLP-2019. -
An Improved Neural Baseline for Temporal Relation Extraction
[paper]
Qiang Ning | Sanjay Subramanian | Dan Roth, EMNLP-short-2019. -
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
[paper][code and data]
Kosuke Akimoto | Takuya Hiraoka | Kunihiko Sadamasa | Mathias Niepert, EMNLP-short-2019. -
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
[paper][code and data]
Tianyu Gao | Xu Han | Hao Zhu | Zhiyuan Liu | Peng Li | Maosong Sun | Jie Zhou, EMNLP-short-2019. -
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
[paper][code]
Xu Han | Tianyu Gao | Yuan Yao | Deming Ye | Zhiyuan Liu | Maosong Sun, EMNLP-short-2019. -
UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering
[paper]
Zi-Yuan Chen | Chih-Hung Chang | Yi-Pei Chen | Jijnasa Nayak | Lun-Wei Ku, NAACL-2019. -
Sentence Embedding Alignment for Lifelong Relation Extraction
[paper][code and data]
Hong Wang | Wenhan Xiong | Mo Yu | Xiaoxiao Guo | Shiyu Chang | William Yang Wang, NAACL-2019. -
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision
[paper][code and data]
Jianhao Yan | Lin He | Ruqin Huang | Jian Li | Ying Liu, NAACL-2019. -
Relation Extraction using Explicit Context Conditioning
[paper]
Gaurav Singh | Parminder Bhatia, NAACL-short-2019. -
Combining Distant and Direct Supervision for Neural Relation Extraction
[paper][code]
Iz Beltagy | Kyle Lo | Waleed Ammar, NAACL-2019. -
Relation Classification Using Segment-Level Attention-based CNN and Dependency-based RNN
[paper]
Van-Hien Tran | Van-Thuy Phi | Hiroyuki Shindo | Yuji Matsumoto, NAACL-2019. -
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
[paper][code] Zhi-Xiu Ye | Zhen-Hua Ling, NAACL-2019. -
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction
[paper][code] Duy-Cat Can | Hoang-Quynh Le | Quang-Thuy Ha | Nigel Collier, NAACL-2019. -
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
[paper]
Ningyu Zhang | Shumin Deng | Zhanlin Sun | Guanying Wang | Xi Chen | Wei Zhang | Huajun Chen, NAACL-2019. -
GAN Driven Semi-distant Supervision for Relation Extraction
[paper]
Pengshuai Li | Xinsong Zhang | Weijia Jia | Hai Zhao, NAACL-2019. -
Structured Minimally Supervised Learning for Neural Relation Extraction
[paper][code and data]
Fan Bai | Alan Ritter, NAACL-2019. -
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
[paper][code]
Peng Xu | Denilson Barbosa, NAACL-short-2019. -
Exploiting Noisy Data in Distant Supervision Relation Classification
[paper]
Kaijia Yang | Liang He | Xin-yu Dai | Shujian Huang | Jiajun Chen, NAACL-2019. -
Document-Level N-ary Relation Extraction with Multiscale Representation Learning
[paper]
Robin Jia | Cliff Wong | Hoifung Poon, NAACL-2019.
2018-NER
-
A Study of the Importance of External Knowledge in the Named Entity Recognition Task
[paper]
Dominic Seyler | Tatiana Dembelova | Luciano Del Corro | Johannes Hoffart | Gerhard Weikum, ACL-short-2018. -
A Named Entity Recognition Shootout for German
[paper]
Martin Riedl | Sebastian Padó, ACL-short-2018. -
Named Entity Recognition With Parallel Recurrent Neural Networks
[paper]
Andrej Žukov-Gregorič | Yoram Bachrach | Sam Coope, ACL-short-2018. -
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
[paper][code]
Pengfei Cao | Yubo Chen | Kang Liu | Jun Zhao | Shengping Liu, EMNLP-2018. -
Neural Cross-Lingual Named Entity Recognition with Minimal Resources
[paper][code]
Jiateng Xie | Zhilin Yang | Graham Neubig | Noah A. Smith | Jaime Carbonell, EMNLP-2018. -
Neural Adaptation Layers for Cross-domain Named Entity Recognition
[paper][code]
Bill Yuchen Lin | Wei Lu, EMNLP-2018. -
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
[paper]
Nathan Greenberg | Trapit Bansal | Patrick Verga | Andrew McCallum, EMNLP-short-2018. -
Deep Exhaustive Model for Nested Named Entity Recognition
[paper]
Mohammad Golam Sohrab | Makoto Miwa, EMNLP-short-2018. -
On the Strength of Character Language Models for Multilingual Named Entity Recognition
[paper]
Xiaodong Yu | Stephen Mayhew | Mark Sammons | Dan Roth, EMNLP-short-2018. -
A Practical Incremental Learning Framework For Sparse Entity Extraction
[paper][code]
Hussein Al-Olimat | Steven Gustafson | Jason Mackay | Krishnaprasad Thirunarayan | Amit Sheth, Coling-2018. -
An Empirical Study on Fine-Grained Named Entity Recognition
[paper][data]
Khai Mai | Thai-Hoang Pham | Minh Trung Nguyen | Tuan Duc Nguyen | Danushka Bollegala | Ryohei Sasano | Satoshi Sekine, Coling-2018. -
Robust Lexical Features for Improved Neural Network Named-Entity Recognition
[paper]
Abbas Ghaddar | Phillippe Langlais, Coling-2018. -
Transfer Learning for Entity Recognition of Novel Classes
[paper][code]
Juan Diego Rodriguez | Adam Caldwell | Alexander Liu, Coling-2018. -
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
[paper][code]
Onur Güngör | Suzan Uskudarli | Tunga Güngör, Coling-2018. -
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
[paper]
Vikas Yadav | Steven Bethard, Coling-2018. -
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models
[paper]
Lingzhen Chen | Alessandro Moschitti, Coling-2018. -
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
[paper]
Zhenghui Wang | Yanru Qu | Liheng Chen | Jian Shen | Weinan Zhang | Shaodian Zhang | Yimei Gao | Gen Gu | Ken Chen | Yong Yu, NAACL-2018. -
Multimodal Named Entity Recognition for Short Social Media Posts
[paper]
Seungwhan Moon | Leonardo Neves | Vitor Carvalho, NAACL-2018. -
Nested Named Entity Recognition Revisited
[paper]
Arzoo Katiyar | Claire Cardie, NAACL-2018. -
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
[paper]
Gustavo Aguilar | Adrian Pastor López-Monroy | Fabio González | Thamar Solorio, NAACL-2018. -
A Neural Layered Model for Nested Named Entity Recognition
[paper][code]
Meizhi Ju | Makoto Miwa | Sophia Ananiadou, NAACL-2018. -
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding
[paper]
Huasha Zhao | Yi Yang | Qiong Zhang | Luo Si, NAACL-short-2018.
2018-RE
-
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
[paper]
Pengda Qin | Weiran Xu | William Yang Wang, ACL-2018. -
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
[paper] Pengda Qin | Weiran Xu | William Yang Wang, ACL-2018. -
A Walk-based Model on Entity Graphs for Relation Extraction
[paper]
Fenia Christopoulou | Makoto Miwa | Sophia Ananiadou, ACL-short-2018. -
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction
[paper][data]
Van-Thuy Phi | Joan Santoso | Masashi Shimbo | Yuji Matsumoto, ACL-2018. -
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
[paper]
Ningyu Zhang | Shumin Deng | Zhanling Sun | Xi Chen | Wei Zhang | Huajun Chen, EMNLP-short-2018. -
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction
[paper]
Ge Shi | Chong Feng | Lifu Huang | Boliang Zhang | Heng Ji | Lejian Liao | Heyan Huang, EMNLP-short-2018. -
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
[paper]
Shikhar Vashishth | Rishabh Joshi | Sai Suman Prayaga | Chiranjib Bhattacharyya | Partha Talukdar, EMNLP-2018. -
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
[paper]
Tianyi Liu | Xinsong Zhang | Wanhao Zhou | Weijia Jia, EMNLP-2018. -
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
[paper]
Yuhao Zhang | Peng Qi | Christopher D. Manning, EMNLP-2018. -
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
[paper]
Jinhua Du | Jingguang Han | Andy Way | Dadong Wan, EMNLP-2018. -
N-ary Relation Extraction using Graph-State LSTM
[paper][code]
Linfeng Song | Yue Zhang | Zhiguo Wang | Daniel Gildea, EMNLP-2018. -
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
[paper]
Guanying Wang | Wen Zhang | Ruoxu Wang | Yalin Zhou | Xi Chen | Wei Zhang | Hai Zhu | Huajun Chen, EMNLP-2018. -
Large-scale Exploration of Neural Relation Classification Architectures
[paper][code and data]
Hoang-Quynh Le | Duy-Cat Can | Sinh T. Vu | Thanh Hai Dang | Mohammad Taher Pilehvar | Nigel Collier, EMNLP-2018. -
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
[paper][data]
Xu Han | Hao Zhu | Pengfei Yu | Ziyun Wang | Yuan Yao | Zhiyuan Liu | Maosong Sun, EMNLP-2018. -
Incorporating Image Matching Into Knowledge Acquisition for Event-Oriented Relation Recognition
[paper]
Yu Hong | Yang Xu | Huibin Ruan | Bowei Zou | Jianmin Yao | Guodong Zhou, Coling-2018. -
Cooperative Denoising for Distantly Supervised Relation Extraction
[paper]
Kai Lei | Daoyuan Chen | Yaliang Li | Nan Du | Min Yang | Wei Fan | Ying Shen, Coling-2018. -
Adversarial Feature Adaptation for Cross-lingual Relation Classification
[paper]
Bowei Zou | Zengzhuang Xu | Yu Hong | Guodong Zhou, Coling-2018. -
Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences
[paper]
Shiou Tian Hsu | Mandar Chaudhary | Nagiza Samatova, Coling-2018. -
Adversarial Multi-lingual Neural Relation Extraction
[paper][code]
Xiaozhi Wang | Xu Han | Yankai Lin | Zhiyuan Liu | Maosong Sun, Coling-2018. -
Neural Relation Classification with Text Descriptions
[paper]
Feiliang Ren | Di Zhou | Zhihui Liu | Yongcheng Li | Rongsheng Zhao | Yongkang Liu | Xiaobo Liang, Coling-2018. -
Exploratory Neural Relation Classification for Domain Knowledge Acquisition
[paper]
Yan Fan | Chengyu Wang | Xiaofeng He, Coling-2018. -
Word-Level Loss Extensions for Neural Temporal Relation Classification
[paper]
Artuur Leeuwenberg | Marie-Francine Moens, Coling-2018. -
Joint Bootstrapping Machines for High Confidence Relation Extraction
[paper][code]
Pankaj Gupta | Benjamin Roth | Hinrich Schütze, NAACL-2018. -
Global Relation Embedding for Relation Extraction
[paper]
Yu Su | Honglei Liu | Semih Yavuz | Izzeddin Gür | Huan Sun | Xifeng Yan, NAACL-2018. -
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
[paper]
Qiang Ning | Hao Wu | Haoruo Peng | Dan Roth, NAACL-2018. -
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
[paper][code and data]
Patrick Verga | Emma Strubell | Andrew McCallum, NAACL-2018. -
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text
[paper][data]
Ji Wen | Xu Sun | Xuancheng Ren | Qi Su, NAACL-short-2018. -
Visually Guided Spatial Relation Extraction from Text
[paper]
Taher Rahgooy | Umar Manzoor | Parisa Kordjamshidi, NAACL-short-2018.
2017-NER
-
A Local Detection Approach for Named Entity Recognition and Mention Detection
[paper][code]
Mingbin Xu | Hui Jiang | Sedtawut Watcharawittayakul, ACL-2017. -
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
[paper]
Jian Ni | Georgiana Dinu | Radu Florian, ACL-2017. -
Cheap Translation for Cross-Lingual Named Entity Recognition
[paper]
Stephen Mayhew | Chen-Tse Tsai | Dan Roth, EMNLP-2017. -
Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks
[paper]
Peng-Hsuan Li | Ruo-Ping Dong | Yu-Siang Wang | Ju-Chieh Chou | Wei-Yun Ma, EMNLP-short-2017. -
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
[paper][code]
Emma Strubell | Patrick Verga | David Belanger | Andrew McCallum, EMNLP-2017. -
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
[paper][code]
Franck Dernoncourt | Ji Young Lee | Peter Szolovits, EMNLP-short-2017.
2017-RE
-
Neural Relation Extraction with Multi-lingual Attention
[paper][code]
Yankai Lin | Zhiyuan Liu | Maosong Sun, ACL-2017. -
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
[paper]
Bingfeng Luo | Yansong Feng | Zheng Wang | Zhanxing Zhu | Songfang Huang | Rui Yan | Dongyan Zhao, ACL-2017. -
Improved Neural Relation Detection for Knowledge Base Question Answering
[paper]
Mo Yu | Wenpeng Yin | Kazi Saidul Hasan | Cicero dos Santos | Bing Xiang | Bowen Zhou, ACL-2017. -
Jointly Extracting Relations with Class Ties via Effective Deep Ranking
[paper]
Hai Ye | Wenhan Chao | Zhunchen Luo | Zhoujun Li, ACL-2017. -
Self-Crowdsourcing Training for Relation Extraction
[paper]
Azad Abad | Moin Nabi | Alessandro Moschitti, ACL-short-2017. -
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
[paper][code]
Liyuan Liu | Xiang Ren | Qi Zhu | Shi Zhi | Huan Gui | Heng Ji | Jiawei Han, EMNLP-2017. -
End-to-End Neural Relation Extraction with Global Optimization
[paper][code]
Meishan Zhang | Yue Zhang | Guohong Fu, EMNLP-2017. -
Incorporating Relation Paths in Neural Relation Extraction
[paper][code]
Wenyuan Zeng | Yankai Lin | Zhiyuan Liu | Maosong Sun, EMNLP-2017. -
Adversarial Training for Relation Extraction
[paper]
Yi Wu | David Bamman | Stuart Russell, EMNLP-short-2017. -
Context-Aware Representations for Knowledge Base Relation Extraction
[paper]
Daniil Sorokin | Iryna Gurevych, EMNLP-short-2017. -
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
[paper]
Tianyu Liu | Kexiang Wang | Baobao Chang | Zhifang Sui, EMNLP-short-2017. -
Deep Residual Learning for Weakly-Supervised Relation Extraction
[paper]
Yi Yao Huang | William Yang Wang, EMNLP-short-2017. -
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective
[paper]
Qing Zhang | Houfeng Wang, EMNLP-short-2017. -
Learning Fine-grained Relations from Chinese User Generated Categories
[paper]
Chengyu Wang | Yan Fan | Xiaofeng He | Aoying Zhou, EMNLP-2017.
2016-NER
-
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
[paper]
Nanyun Peng | Mark Dredze, ACL-short-2016. -
Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks
[paper]
Suzushi Tomori | Takashi Ninomiya | Shinsuke Mori, ACL-short-2016. -
Bootstrapped Text-level Named Entity Recognition for Literature
[paper]
Julian Brooke | Adam Hammond | Timothy Baldwin, ACL-short-2016. -
Named Entity Recognition for Novel Types by Transfer Learning
[paper]
Lizhen Qu | Gabriela Ferraro | Liyuan Zhou | Weiwei Hou | Timothy Baldwin, EMNLP-short-2016. -
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping [paper]
Jian Ni | Radu Florian, EMNLP-2016. -
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
[paper]
Akash Bharadwaj | David Mortensen | Chris Dyer | Jaime Carbonell, EMNLP-2016. -
CharNER: Character-Level Named Entity Recognition
[paper]
Onur Kuru | Ozan Arkan Can | Deniz Yuret, Coling-2016. -
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik
[paper]
Patrick Littell | Kartik Goyal | David R. Mortensen | Alexa Little | Chris Dyer | Lori Levin, Coling-2016. -
Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
[paper][data]
Leon Derczynski | Kalina Bontcheva | Ian Roberts, Coling-2016. -
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition
[paper]
Wencan Luo | Fan Yang, NAACL-2016. -
Neural Architectures for Named Entity Recognition
[paper][code1][code2]
Guillaume Lample | Miguel Ballesteros | Sandeep Subramanian | Kazuya Kawakami | Chris Dyer, NAACL-2016.
2016-RE
-
Bidirectional Recurrent Convolutional Neural Network for Relation Classification
[paper]
Bidirectional Recurrent Convolutional Neural Network for Relation Classification, ACL-2016. -
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
[paper]
Makoto Miwa | Mohit Bansal, ACL-2016. -
Relation Classification via Multi-Level Attention CNNs
[paper]
Linlin Wang | Zhu Cao | Gerard de Melo | Zhiyuan Liu, ACL-2016. -
Neural Relation Extraction with Selective Attention over Instances
[paper][code]
Yankai Lin | Shiqi Shen | Zhiyuan Liu | Huanbo Luan | Maosong Sun, ACL-2016. -
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
[paper]
Peng Zhou | Wei Shi | Jun Tian | Zhenyu Qi | Bingchen Li | Hongwei Hao | Bo Xu, ACL-2016. -
A Position Encoding Convolutional Neural Network Based on Dependency Tree for Relation Classification
[paper]
Yunlun Yang | Yunhai Tong | Shulei Ma | Zhi-Hong Deng, EMNLP-2016. -
A Unified Architecture for Semantic Role Labeling and Relation Classification
[paper]
Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu | Jun Xu, Coling-2016. -
Improved relation classification by deep recurrent neural networks with data augmentation
[paper]
Yan Xu | Ran Jia | Lili Mou | Ge Li | Yunchuan Chen | Yangyang Lu | Zhi Jin, Coling-2016. -
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
[paper]
Xiaotian Jiang | Quan Wang | Peng Li | Bin Wang, Coling-2016. -
Pairwise Relation Classification with Mirror Instances and a Combined Convolutional Neural Network
[paper]
Jianfei Yu | Jing Jiang, Coling-2016. -
Combining Recurrent and Convolutional Neural Networks for Relation Classification
[paper]
Ngoc Thang Vu | Heike Adel | Pankaj Gupta | Hinrich Schütze, NAACL-short-2016. -
Multilingual Relation Extraction using Compositional Universal Schema
[paper]
Patrick Verga | David Belanger | Emma Strubell | Benjamin Roth | Andrew McCallum, NAACL-2016. -
Effective Crowd Annotation for Relation Extraction
[paper]
Angli Liu | Stephen Soderland | Jonathan Bragg | Christopher H. Lin | Xiao Ling | Daniel S. Weld, NAACL-2016.
2015-NER
-
Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification
[paper]
Audi Primadhanty | Xavier Carreras | Ariadna Quattoni, ACL-2015. -
Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words
[paper]
Chen Li | Yang Liu, ACL-2015. -
Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora
[paper]
Ayah Zirikly | Masato Hagiwara, ACL-short-2015. -
Named entity recognition with document-specific KB tag gazetteers
[paper]
Will Radford | Xavier Carreras | James Henderson, EMNLP-short-2015. -
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
[paper]
Nanyun Peng | Mark Dredze, EMNLP-short-2015. -
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
[paper]
Colin Cherry | Hongyu Guo, NAACL-2105. -
Distributed Representations of Words to Guide Bootstrapped Entity Classifiers
[paper]
Sonal Gupta | Christopher D. Manning, NAACL-short-2015. -
Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition
[paper]
Yudong Liu | Clinton Burkhart | James Hearne | Liang Luo, NAACL-short-2019.
2015-RE
-
Classifying Relations by Ranking with Convolutional Neural Networks
[paper]
Cícero dos Santos | Bing Xiang | Bowen Zhou, ACL-2015. -
Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
[paper]
Thien Huu Nguyen | Barbara Plank | Ralph Grishman, ACL-2015. -
A Dependency-Based Neural Network for Relation Classification
[paper]
Yang Liu | Furu Wei | Sujian Li | Heng Ji | Ming Zhou | Houfeng Wang, ACL-short-2015. -
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
[paper]
Kun Xu | Yansong Feng | Songfang Huang | Dongyan Zhao, EMNLP-short-2015. -
Inferring Binary Relation Schemas for Open Information Extraction
[paper]
Kangqi Luo | Xusheng Luo | Kenny Zhu, EMNLP-short-2015. -
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning
[paper]
Isabelle Augenstein | Andreas Vlachos | Diana Maynard, EMNLP-2015. -
Sieve-Based Spatial Relation Extraction with Expanding Parse Trees
[paper]
Jennifer D’Souza | Vincent Ng, EMNLP-2015. -
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
[paper]
Daojian Zeng | Kang Liu | Yubo Chen | Jun Zhao, EMNLP-2015. -
CORE: Context-Aware Open Relation Extraction with Factorization Machines
[paper]
Fabio Petroni | Luciano Del Corro | Rainer Gemulla, EMNLP-2015. -
Improved Relation Extraction with Feature-Rich Compositional Embedding Models
[paper]
Matthew R. Gormley | Mo Yu | Mark Dredze, EMNLP-2015. -
Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths
[paper]
Yan Xu | Lili Mou | Ge Li | Yunchuan Chen | Hao Peng | Zhi Jin, EMNLP-2015. -
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models
[paper]
Gholamreza Haffari | Ajay Nagesh | Ganesh Ramakrishnan, NAACL-2019. -
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
[paper]
Tim Rocktäschel | Sameer Singh | Sebastian Riedel, NAACL-2019. -
Chain Based RNN for Relation Classification
[[paper]]
Javid Ebrahimi | Dejing Dou, NAACL-short-2019. -
Multilingual Open Relation Extraction Using Cross-lingual Projection
[paper]
Manaal Faruqui | Shankar Kumar, NAACL-short-2015. -
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
[paper][code]
Mo Yu | Matthew R. Gormley | Mark Dredze, NAACL-short-2015.
2014-NER
-
Zero-shot Entity Extraction from Web Pages
[paper]
Panupong Pasupat | Percy Liang, ACL-2014. -
A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition
[paper]
Fahd Alotaibi | Mark Lee, Coling-2014.
2014-RE
-
Omni-word Feature and Soft Constraint for Chinese Relation Extraction
[paper]
Yanping Chen | Qinghua Zheng | Wei Zhang, ACL-2014. -
Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora
[paper]
Longhua Qian | Haotian Hui | Ya’nan Hu | Guodong Zhou | Qiaoming Zhu, ACL-2014. -
Robust Domain Adaptation for Relation Extraction via Clustering Consistency
[paper]
Minh Luan Nguyen | Ivor W. Tsang | Kian Ming A. Chai | Hai Leong Chieu, ACL-2014. -
Encoding Relation Requirements for Relation Extraction via Joint Inference
[paper]
Liwei Chen | Yansong Feng | Songfang Huang | Yong Qin | Dongyan Zhao, ACL-2014. -
Medical Relation Extraction with Manifold Models
[paper]
Chang Wang | James Fan, ACL-2014. -
Distant Supervision for Relation Extraction with Matrix Completion
[paper]
Miao Fan | Deli Zhao | Qiang Zhou | Zhiyuan Liu | Thomas Fang Zheng | Edward Y. Chang, ACL-2014. -
A Feature-Enriched Tree Kernel for Relation Extraction
[paper] Le Sun | Xianpei Han, ACL-short-2014. -
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
[paper]
Thien Huu Nguyen | Ralph Grishman, ACL-short-2014. -
Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction
[paper]
Xianpei Han | Le Sun, ACL-short-2014. -
Infusion of Labeled Data into Distant Supervision for Relation Extraction
[paper]
Maria Pershina | Bonan Min | Wei Xu | Ralph Grishman, ACL-short-2014. -
Combining Distant and Partial Supervision for Relation Extraction
[paper][code]
Gabor Angeli | Julie Tibshirani | Jean Wu | Christopher D. Manning, EMNLP-2014. -
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
[paper]
Kai-Wei Chang | Wen-tau Yih | Bishan Yang | Christopher Meek, EMNLP-2014. -
A convex relaxation for weakly supervised relation extraction
[paper]
Édouard Grave, EMNLP-2014. -
ZORE: A Syntax-based System for Chinese Open Relation Extraction
[paper][data]
Likun Qiu | Yue Zhang, EMNLP-2014. -
Type-Aware Distantly Supervised Relation Extraction with Linked Arguments
[paper]
Mitchell Koch | John Gilmer | Stephen Soderland | Daniel S. Weld, EMNLP-2014. -
Noisy Or-based model for Relation Extraction using Distant Supervision
[paper]
Ajay Nagesh | Gholamreza Haffari | Ganesh Ramakrishnan, EMNLP-short-2014. -
Ensemble-Based Medical Relation Classification
[paper]
Jennifer D’Souza | Vincent Ng, Coling-2014. -
Exploratory Relation Extraction in Large Text Corpora
[[paper](Exploratory Relation Extraction in Large Text Corpora)]
Alan Akbik | Thilo Michael | Christoph Boden, Coling-2014. -
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction
[paper]
Yang Liu | Kang Liu | Liheng Xu | Jun Zhao, Coling-2014. -
Relation Classification via Convolutional Deep Neural Network
[paper]
Daojian Zeng | Kang Liu | Siwei Lai | Guangyou Zhou | Jun Zhao, Coling-2014.
2013-NER
-
Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
[paper]
Mengqiu Wang | Wanxiang Che | Christopher D. Manning, ACL-2013. -
Named Entity Recognition with Bilingual Constraints
[paper]
Wanxiang Che | Mengqiu Wang | Christopher D. Manning | Ting Liu, NAACL-2013.
2013-RE
-
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction
[paper]
Barbara Plank | Alessandro Moschitti, ACL-2013. -
Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction
[paper]
Wei Xu | Raphael Hoffmann | Le Zhao | Ralph Grishman, ACL-short-2013. -
Unsupervised Relation Extraction with General Domain Knowledge
[paper]
Oier Lopez de Lacalle | Mirella Lapata, EMNLP-2013. -
Effectiveness and Efficiency of Open Relation Extraction
[paper]
Filipe Mesquita | Jordan Schmidek | Denilson Barbosa, EMNLP-2013. -
Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction
[paper] Jason Weston | Antoine Bordes | Oksana Yakhnenko | Nicolas Usunier, EMNLP-short-2013. -
Simple Customization of Recursive Neural Networks for Semantic Relation Classification
[paper]
Kazuma Hashimoto | Makoto Miwa | Yoshimasa Tsuruoka | Takashi Chikayama, EMNLP-short-2013. -
Relation Extraction with Matrix Factorization and Universal Schemas
[paper]
Sebastian Riedel | Limin Yao | Andrew McCallum | Benjamin M. Marlin, NAACL-2013. -
Exploiting the Scope of Negations and Heterogeneous Features for Relation Extraction: A Case Study for Drug-Drug Interaction Extraction
[paper]
Md. Faisal Mahbub Chowdhury | Alberto Lavelli, NAACL-short-2013. -
Graph-Based Seed Set Expansion for Relation Extraction Using Random Walk Hitting Times
[paper]
Joel Lang | James Henderson, NAACL-short-2013. -
Distant Supervision for Relation Extraction with an Incomplete Knowledge Base
[paper]
Bonan Min | Ralph Grishman | Li Wan | Chang Wang | David Gondek, NAACL-short-2013.
2012-NER
-
Joint Inference of Named Entity Recognition and Normalization for Tweets
[paper]
Xiaohua Liu | Ming Zhou | Xiangyang Zhou | Zhongyang Fu | Furu Wei, ACL-2012. -
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia
[paper]
Sungchul Kim | Kristina Toutanova | Hwanjo Yu, ACL-2012. -
SpeedRead: A Fast Named Entity Recognition Pipeline
[paper]
Rami Al-Rfou’ | Steven Skiena, Coling-2012. -
A Pipeline Arabic Named Entity Recognition using a Hybrid Approach
[paper]
Mai Oudah | Khaled Shaalan, Coling-2012. -
Initial Explorations on using CRFs for Turkish Named Entity Recognition
[paper]
Gökhan Akın Şeker | Gülşen Eryiğit, Coling-2012. -
Differential Evolution Based Feature Selection and Classifier Ensemble for Named Entity Recognition
[paper]
Utpal Kumar Sikdar | Asif Ekbal | Sriparna Saha, Coling-2012. -
Named Entity Recognition System for Urdu
[paper]
UmrinderPal Singh | Vishal Goyal | Gurpreet Singh Lehal, Coling-2012. -
Fine-Grained Classification of Named Entities by Fusing Multi-Features
[paper]
Wenjie Li | Jiwei Li | Ye Tian | Zhifang Sui, Coling-short-2012. -
HYENA: Hierarchical Type Classification for Entity Names
[paper]
Mohamed Amir Yosef | Sandro Bauer | Johannes Hoffart | Marc Spaniol | Gerhard Weikum, Coling-short-2012.
2012-RE
-
Temporally Anchored Relation Extraction
[paper]
Guillermo Garrido | Anselmo Peñas | Bernardo Cabaleiro | Álvaro Rodrigo, ACL-2012. -
Reducing Wrong Labels in Distant Supervision for Relation Extraction
[paper]
Shingo Takamatsu | Issei Sato | Hiroshi Nakagawa, ACL-2012. -
A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction
[paper]
Seokhwan Kim | Gary Geunbae Lee, ACL-short-2012. -
Pattern Learning for Relation Extraction with a Hierarchical Topic Model
[paper]
Enrique Alfonseca | Katja Filippova | Jean-Yves Delort | Guillermo Garrido, ACL-short-2012. -
Multi-instance Multi-label Learning for Relation Extraction
[paper]
Mihai Surdeanu | Julie Tibshirani | Ramesh Nallapati | Christopher D. Manning, EMNLP-2012. -
Ensemble Semantics for Large-scale Unsupervised Relation Extraction
[paper]
Bonan Min | Shuming Shi | Ralph Grishman | Chin-Yew Lin, EMNLP-2012. -
Unsupervised Discovery of Relations and Discriminative Extraction Patterns
[paper]
Alan Akbik | Larysa Visengeriyeva | Priska Herger | Holmer Hemsen | Alexander Löser, Coling-2012. -
Improved Temporal Relation Classification using Dependency Parses and Selective Crowdsourced Annotations
[paper]
Jun-Ping Ng | Min-Yen Kan, Coling-2012. -
Impact of Less Skewed Distributions on Efficiency and Effectiveness of Biomedical Relation Extraction
[paper]
Md. Faisal Mahbub Chowdhury | Alberto Lavelli, Coling-short-2012. -
Relation Classification using Entity Sequence Kernels
[paper]
Debanjan Ghosh | Smaranda Muresan, Coling-short-2012.
2011-NER
-
Recognizing Named Entities in Tweets
[paper]
Xiaohua Liu | Shaodian Zhang | Furu Wei | Ming Zhou, ACL-2011. -
Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition
[paper]
Stefan Rüd | Massimiliano Ciaramita | Jens Müller | Hinrich Schützel, ACL-2011. -
Named Entity Recognition in Tweets: An Experimental Study
[paper]
Alan Ritter | Sam Clark | Mausam | Oren Etzioni, EMNLP-2011. -
Bootstrapped Named Entity Recognition for Product Attribute Extraction
[paper]
Duangmanee Putthividhya | Junling Hu, EMNLP-2011.
2011-RE
-
Semi-supervised Relation Extraction with Large-scale Word Clustering
[paper]
Ang Sun | Ralph Grishman | Satoshi Sekine, ACL-2011. -
In-domain Relation Discovery with Meta-constraints via Posterior Regularization
[paper]
Harr Chen | Edward Benson | Tahira Naseem | Regina Barzilay, ACL-2011. -
Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
[paper]
Raphael Hoffmann | Congle Zhang | Xiao Ling | Luke Zettlemoyer | Daniel S. Weld, ACL-2011. -
Exploiting Syntactico-Semantic Structures for Relation Extraction
[paper]
Yee Seng Chan | Dan Roth, ACL-2011. -
End-to-End Relation Extraction Using Distant Supervision from External Semantic Repositories
[paper]
Truc-Vien T. Nguyen | Alessandro Moschitti, ACL-short-2011. -
Relation Extraction with Relation Topics
[paper]
Chang Wang | James Fan | Aditya Kalyanpur | David Gondek, EMNLP-2011. -
Structured Relation Discovery using Generative Models
[paper]
Limin Yao | Aria Haghighi | Sebastian Riedel | Andrew McCallum, EMNLP-2011. -
Identifying Relations for Open Information Extraction
[paper]
Anthony Fader | Stephen Soderland | Oren Etzioni, EMNLP-2011.
2010-NER
-
Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data [paper]
Jenny Rose Finkel | Christopher D. Manning, ACL-2010. -
Arabic Named Entity Recognition: Using Features Extracted from Noisy Data
[paper]
Yassine Benajiba | Imed Zitouni | Mona Diab | Paolo Rosso, ACL-short-2010. -
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
[paper]
Laura Chiticariu | Rajasekar Krishnamurthy | Yunyao Li | Frederick Reiss | Shivakumar Vaithyanathan, EMNLP-2010. -
Open Entity Extraction from Web Search Query Logs
[paper]
Alpa Jain | Marco Pennacchiotti, Coling-2010. -
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine [paper]
Son Doan | Hua Xu, Coling-2010. -
Kernel-based Reranking for Named-Entity Extraction
[paper]
Truc-Vien T. Nguyen | Alessandro Moschitti | Giuseppe Riccardi, Coling-2010. -
Minimally-Supervised Extraction of Entities from Text Advertisements
[paper]
Sameer Singh | Dustin Hillard | Chris Leggetter, NAACL-2010.
2010-RE
-
Learning 5000 Relational Extractors
[paper]
Raphael Hoffmann | Congle Zhang | Daniel S. Weld, ACL-2010. -
Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
[paper]
Longhua Qian | Guodong Zhou, EMNLP-2010. -
Collective Cross-Document Relation Extraction Without Labelled Data
[paper]
Limin Yao | Sebastian Riedel | Andrew McCallum, EMNLP-2010. -
Constraints Based Taxonomic Relation Classification
[paper]
Quang Do | Dan Roth, EMNLP-2010. -
Self-Annotation for fine-grained geospatial relation extraction
[paper]
Andre Blessing | Hinrich Schütze, Coling-2010. -
Exploiting Background Knowledge for Relation Extraction
[paper]
Yee Seng Chan | Dan Roth, Coling-2010. -
A Cross-lingual Annotation Projection Approach for Relation Detection
[paper]
Seokhwan Kim | Minwoo Jeong | Jonghoon Lee | Gary Geunbae Lee, Coling-2010. -
Boosting Relation Extraction with Limited Closed-World Knowledge
[paper]
Feiyu Xu | Hans Uszkoreit | Sebastian Krause | Hong Li, Coling-2010.
###Joint extraction
-
Entity-Relation Extraction as Multi-Turn Question Answering
[paper]
Xiaoya Li | Fan Yin | Zijun Sun | Xiayu Li | Arianna Yuan | Duo Chai | Mingxin Zhou | Jiwei Li. ACL-2019. -
GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
[paper]
Tsu-Jui Fu | Peng-Hsuan Li | Wei-Yun Ma. ACL-2019. -
Entity, Relation, and Event Extraction with Contextualized Span Representations
[paper][code]
David Wadden | Ulme Wennberg | Yi Luan | Hannaneh Hajishirzi, EMNLP-short-2019. -
Cross-lingual Structure Transfer for Relation and Event Extraction
[paper]
Ananya Subburathinam | Di Lu | Heng Ji | Jonathan May | Shih-Fu Chang | Avirup Sil | Clare Voss, EMNLP-2019. -
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
[paper]
Rujun Han | Qiang Ning | Nanyun Peng, EMNLP-2019. -
Multilingual Entity, Relation, Event and Human Value Extraction
[paper][code]
Manling Li | Ying Lin | Joseph Hoover | Spencer Whitehead | Clare Voss | Morteza Dehghani | Heng Ji, NAACL-demo-2019. -
Adversarial training for multi-context joint entity and relation extraction
[paper][code]
Giannis Bekoulis | Johannes Deleu | Thomas Demeester | Chris Develder, EMNLP-2018. -
Extracting Entities and Relations with Joint Minimum Risk Training
[paper][code]
Changzhi Sun | Yuanbin Wu | Man Lan | Shiliang Sun | Wenting Wang | Kuang-Chih Lee | Kewen Wu, EMNLP-2018. -
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees
[paper]
Arzoo Katiyar | Claire Cardie, ACL-2017. -
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
[paper]
Suncong Zheng | Feng Wang | Hongyun Bao | Yuexing Hao | Peng Zhou | Bo Xu, ACL-2017. -
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
[paper][code]
Heike Adel | Hinrich Schütze, EMNLP-short-2017. -
Investigating LSTMs for Joint Extraction of Opinion Entities and Relations
[paper]
Arzoo Katiyar | Claire Cardie, ACL-2016. -
Extracting Spatial Entities and Relations in Korean Text
[paper]
Bogyum Kim | Jae Sung Lee, Coling-short-2016. -
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
[paper]
Pankaj Gupta | Hinrich Schütze | Bernt Andrassy, Coling-2016. -
Joint Extraction of Events and Entities within a Document Context
[paper][code]
Bishan Yang | Tom M. Mitchell, NAACL-2016. -
Incremental Joint Extraction of Entity Mentions and Relations
[paper]
Qi Li | Heng Ji, ACL-2014. -
Modeling Joint Entity and Relation Extraction with Table Representation
[paper]
Makoto Miwa | Yutaka Sasaki, EMNLP-2014. -
Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach
[paper]
Xiaofeng Yu | Wai Lam, Coling-2010.