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SemEval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
Original
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid O. Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, and Stan Szpakowicz. 2010 · 2010
Earlier work this paper cites.
Question-answer driven semantic role labeling: Using natural language to annotate natural language
Luheng He, Mike Lewis, and Luke Zettlemoyer. 2015 · 2015
Earlier work this paper cites.
Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D Manning. 2017 · 2017
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Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
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Distant Supervision for Relation Extraction with Hierarchical Attention and Entity Descriptions
Heng She, Bin Wu, Bai Wang, and Renjun Chi. 2018 · 2018
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2020

Relation Classification as Two-way Span-Prediction

Cohen, Amir DN, Rosenman, Shachar, Goldberg, Yoav

Understand

The current supervised relation classification (RC) task uses a single embedding to represent the relation between a pair of entities.

We argue that a better approach is to treat the RC task as span-prediction (SP) problem, similar to Question answering (QA).
We present a span-prediction based system for RC and evaluate its performance compared to the embedding based system.
We demonstrate that the supervised SP objective works significantly better then the standard classification based objective.

Built on

SemEval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
Original
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid O. Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, and Stan Szpakowicz. 2010 · 2010
Earlier work this paper cites.
Question-answer driven semantic role labeling: Using natural language to annotate natural language
Luheng He, Mike Lewis, and Luke Zettlemoyer. 2015 · 2015
Earlier work this paper cites.
Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D Manning. 2017 · 2017
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Original
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Earlier work this paper cites.
The Natural Language Decathlon: Multitask Learning as Question Answering
Original
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, and Richard Socher. 2018 · 2018
Earlier work this paper cites.
Distant Supervision for Relation Extraction with Hierarchical Attention and Entity Descriptions
Heng She, Bin Wu, Bai Wang, and Renjun Chi. 2018 · 2018
Earlier work this paper cites.

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Matching the Blanks: Distributional Similarity for Relation Learning
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Cited alongside, same era.
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Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
Cited alongside, same era.
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Then

Coreference Resolution as Query-based Span Prediction
Original
Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, and Jiwei Li. 2019 · 2019
Later among the works it cites.
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
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Christoph Alt, Aleksandra Gabryszak, and Leonhard Hennig. 2020 · 2020
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Xinya Du and Claire Cardie. 2020 · 2020
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SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Closest in time.
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
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Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

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Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, and Jian Tang. 2019 · 2019

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