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IPRE: a Dataset for Inter-Personal Relationship Extraction [article]

Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang
2019 arXiv   pre-print
Our data is the first dataset for inter-personal relationship extraction.  ...  To address this situation, we introduce IPRE, a new dataset for inter-personal relationship extraction which aims to facilitate information extraction and knowledge graph construction research.  ...  We would also thank the anonymous reviewers for their detailed comments, which have helped us to improve the quality of this work.  ... 
arXiv:1907.12801v2 fatcat:rutqlplcknbr3g4auvjdh4j46m

Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Zhi-Xiu Ye, Zhen-Hua Ling
2019 Proceedings of the 2019 Conference of the North  
This paper presents a neural relation extraction method to deal with the noisy training data generated by distant supervision.  ...  Here, each possible relation is utilized as the query for attention calculation instead of only using the target relation in conventional methods.  ...  Acknowledgments We thank the anonymous reviewers for their valuable comments.  ... 
doi:10.18653/v1/n19-1288 dblp:conf/naacl/YeL19 fatcat:vzokpqv2gbhgroqy4uhliycuwq

Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions [article]

Zhi-Xiu Ye, Zhen-Hua Ling
2019 arXiv   pre-print
This paper presents a neural relation extraction method to deal with the noisy training data generated by distant supervision.  ...  Our method also achieves better relation extraction accuracy than state-of-the-art methods on this dataset.  ...  Acknowledgments We thank the anonymous reviewers for their valuable comments.  ... 
arXiv:1904.00143v1 fatcat:44cuac67yvdp3bamxemg7sgxf4

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention [article]

Sharmistha Jat, Siddhesh Khandelwal, Partha Talukdar
2018 arXiv   pre-print
Secondly, we introduce GDS, a new distant supervision dataset for relation extraction.  ...  We note that most of the sentences in the distant supervision relation extraction setting are very long and may benefit from word attention for better sentence representation.  ...  We introduce GDS, a new distant supervision dataset for relation extraction.  ... 
arXiv:1804.06987v1 fatcat:2to3s4gobzgjvmcrtl2jngesbm

Chemical-induced disease relation extraction via attention-based distant supervision

Jinghang Gu, Fuqing Sun, Longhua Qian, Guodong Zhou
2019 BMC Bioinformatics  
Results: We present an attention-based distant supervision paradigm for the BioCreative-V CDR extraction task.  ...  Conclusion: Our experiments demonstrate that distant supervision is promising for extracting chemical disease relations from biomedical literature, and capturing both local and global attention features  ...  Intra-sentence relation extraction In our attention-based distant supervision approach for intra-sentence relation extraction, a relation is considered as a bag B of multiple instances in different sentences  ... 
doi:10.1186/s12859-019-2884-4 fatcat:h2xnpdzlfffzrjqphubauszqp4

CANDiS: Coupled & Attention-Driven Neural Distant Supervision [article]

Tushar Nagarajan, Sharmistha, Partha Talukdar
2017 arXiv   pre-print
Distant Supervision for Relation Extraction uses heuristically aligned text data with an existing knowledge base as training data.  ...  We propose a novel technique, CANDiS, which casts distant supervision using inter-instance coupling into an end-to-end neural network model.  ...  Distant Supervision (DS) for Relation Extraction was introduced by (Mintz et al., 2009 ) using a Freebase-aligned Wikipedia corpus.  ... 
arXiv:1710.09942v1 fatcat:pf4jzgxelrbmhoc4g3ozh4ynbm

From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension [article]

Lingyong Yan, Xianpei Han, Le Sun, Fangchao Liu, Ning Bian
2020 arXiv   pre-print
Distant supervision (DS) is a promising approach for relation extraction but often suffers from the noisy label problem.  ...  In this paper, we propose a new DS paradigm–document-based distant supervision, which models relation extraction as a document-based machine reading comprehension (MRC) task.  ...  Conclusion This paper proposes a new DS paradigm-the document-based distant supervision, which can effectively exploit all sentence-level, inter-sentencelevel, and entity-level evidence for relation extraction  ... 
arXiv:2012.04334v2 fatcat:4ab72nh2vfdrtddlrg5qienc2u

Distant Supervision for Relation Extraction beyond the Sentence Boundary [article]

Chris Quirk, Hoifung Poon
2017 arXiv   pre-print
In this paper, we propose the first approach for applying distant supervision to cross- sentence relation extraction.  ...  Experiments on an important extraction task for precision medicine show that our approach can learn an accurate cross-sentence extractor, using only a small existing knowledge base and unlabeled text from  ...  Distant Supervision for Cross-Sentence Relation Extraction In this section, we present DISCREX, short for DIstant Supervision for Cross-sentence Relation EXraction.  ... 
arXiv:1609.04873v3 fatcat:6gwlyghskba6feufg2f3itqqqm

Crowdsourcing Ground Truth for Medical Relation Extraction

Anca Dumitrache, Lora Aroyo, Chris Welty
2018 ACM transactions on interactive intelligent systems (TiiS)  
We report on using this method to build an annotated data set for medical relation extraction for the cause and treat relations, and how this data performed in a supervised training experiment.  ...  data at scale than distant supervision.  ...  Chang Wang for support with using the medical relation extraction classifier, and Anthony Levas for help with collecting the expert annotations. The authors, Dr. Wang and Mr.  ... 
doi:10.1145/3152889 fatcat:l3jtx2nur5ek3jtwqgbhxa67ky

Distant Supervision for Relation Extraction beyond the Sentence Boundary

Chris Quirk, Hoifung Poon
2017 Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers  
In this paper, we propose the first approach for applying distant supervision to crosssentence relation extraction.  ...  Experiments on an important extraction task for precision medicine show that our approach can learn an accurate cross-sentence extractor, using only a small existing knowledge base and unlabeled text from  ...  Distant Supervision for Cross-Sentence Relation Extraction In this section, we present DISCREX, short for DIstant Supervision for Cross-sentence Relation EXraction.  ... 
doi:10.18653/v1/e17-1110 dblp:conf/eacl/QuirkP17 fatcat:m2gcbdzgdvfvblkmuldywhcmxe

CCKS 2019 Shared Task on Inter-Personal Relationship Extraction [article]

Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang
2019 arXiv   pre-print
The CCKS2019 shared task was devoted to inter-personal relationship extraction.  ...  Given two person entities and at least one sentence containing these two entities, participating teams are asked to predict the relationship between the entities according to a given relation list.  ...  We would like to thank all the contributors to Inter-Personal Relationship Extraction, including all participating teams and workers of data annotation, without their effort a task like this simply wouldn't  ... 
arXiv:1908.11337v1 fatcat:whqunvt4uvhlrnjrudq77lavpm

Denoising Relation Extraction from Document-level Distant Supervision [article]

Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin
2020 arXiv   pre-print
Distant supervision (DS) has been widely used to generate auto-labeled data for sentence-level relation extraction (RE), which improves RE performance.  ...  To address this challenge, we propose a novel pre-trained model for DocRE, which denoises the document-level DS data via multiple pre-training tasks.  ...  and Peng et al. (2017) attempt to extract inter-sentence relations with distantly supervised data. However, they only use entity pairs within three consecutive sentences.  ... 
arXiv:2011.03888v1 fatcat:xgl4tnngtvbipffaindsdg3nja

Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction [article]

Yuming Shang, Heyan Huang, Xin Sun, Xianling Mao
2020 arXiv   pre-print
Relation ties, defined as the correlation and mutual exclusion between different relations, are critical for distant supervised relation extraction.  ...  Furthermore, the proposed force-directed graph can be used as a module to augment existing relation extraction systems and improve their performance.  ...  In distant supervised relation extraction, the purpose is to predict a set of target relations R (R ⊆ R) according to the entity pair (e 1 , e 2 ) and the sentence-bag S b .  ... 
arXiv:2004.10051v1 fatcat:xg7d3wikzvapnnct2gsfifksvm

DocRED: A Large-Scale Document-Level Relation Extraction Dataset [article]

Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun
2019 arXiv   pre-print
Multiple entities in a document generally exhibit complex inter-sentence relations, and cannot be well handled by existing relation extraction (RE) methods that typically focus on extracting intra-sentence  ...  , and is the largest human-annotated dataset for document-level RE from plain text; (2) DocRED requires reading multiple sentences in a document to extract entities and infer their relations by synthesizing  ...  Acknowledgement This work is supported by the National Key Research and Development Program of China (No. 2018YFB1004503), the National Natural Science Foundation of China (NSFC No. 61572273) and China Association for  ... 
arXiv:1906.06127v3 fatcat:tuc4znomjvdobl2fsakngxsv4q

Crowdsourcing Semantic Label Propagation in Relation Classification [article]

Anca Dumitrache, Lora Aroyo, Chris Welty
2018 arXiv   pre-print
Distant supervision is a popular method for performing relation extraction from text that is known to produce noisy labels.  ...  Most progress in relation extraction and classification has been made with crowdsourced corrections to distant-supervised labels, and there is evidence that indicates still more would be better.  ...  Introduction Distant supervision (DS) (Mintz et al., 2009 ) is a popular method for performing relation extraction from text.  ... 
arXiv:1809.00537v1 fatcat:4ekwr2mzgfgizippieafws35pe
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