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Relation extraction (RE) is a sub-discipline of information extraction (IE) which focuses on the prediction of a relational predicate from a natural-language input unit (such as a sentence, a clause, or even a short paragraph consisting of multiple sentences and/or clauses).
1909
Earlier work this paper cites.
Etzioni, O., Cafarella, M., Downey, D., Kok, S., Popescu, A.M., Shaked, T., Soderland, S., Weld, S.D., Yates, A.: Web-scale information extraction in knowitall. International World Wide Web Conference. ACM (2004)
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Banko, M., Cafarella, M., J., Soderland, S., Broadhead, M., Etzioni, O.: Open Information Extraction from the Web. In: IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, Hyderabad, India (2007)
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Suchanek, F., M., Kasneci, G., and Weikum, G.: Yago: a core of semantic knowledge. In: Proceedings of the 16th international conference on World Wide Web (2007)
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Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In: ACL 2009, Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the AFNL, ACL, Singapore (2009)
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Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka Jr., R. E., Mitchell, M. T.: Toward an architecture for never-ending language learning. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. ACM (2010)
2010
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Fader, A., Soderland, S., Etzioni, O.: Identifying Relations for Open Information Extraction. In: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, ACL, Edinburgh, UK (2011)
2011
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Rehurek, R., Sojka, P.: Gensim–python framework for vector space modelling. NLP Centre, Faculty of Informatics (2011)
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Wang, C., Kalyanpur, A., Fan, J., Boguraev, B., Gondek, D.: Relation extraction and scoring in DeepQA. IBM J. Res. Dev. (2012)
2012
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Del Corro, L., Gemulla, R.: ClausIE: clause-based open information extraction. In: 22nd International World Wide Web Conference (2013)
2013
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Mikolov, T., Sutskever, I., Chen, K., Corrado, G., S., Dean, J.: Distributed Representations of Words and Phrases and their Compositionality. In: Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013, Lake Tahoe, Nevada, USA (2013)
2013
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Levy, O., Goldberg, Y.: Dependency-Based Word Embeddings. In:Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL ,Baltimore, MD, USA (2014)
2014
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Manning, C., D., Surdeanu, M., Bauer, J., Finkel, J. R., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: Proceedings of 52nd annual meeting of the association for computational linguistics: system demonstrations (2014)
2014
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Nguyen, D.B., Hoffart, J., Theobald, M., Weikum, G.: AIDA-light: High-Throughput Named-Entity Disambiguation. In: Proceedings of the Workshop on Linked Data on the Web co-located with the 23rd International World Wide Web Conference (WWW 2014)
2014
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Pennington, J., Socher, R., Manning, D.C.: GloVe: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. Doha, Qatar (2014)
2014
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Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Communications of the ACM (2014)
2014
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Gardner, M., Mitchell, T.: Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, ACL, Lisbon, Portugal (2015)
2015
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Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., Bizer, C.: DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. Semantic Web Journal 6
2015
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Stanovsky, G., Dagan, I., Mausam: Open IE as an Intermediate Structure for Semantic Tasks. In:Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL ,Beijing, China (2015)
2015
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Mausam: Open Information Extraction Systems and Downstream Applications. In:Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI/AAAI Press ,New York, NY, USA (2016). Implementation is available from https://github.com/dair-iitd/OpenIE-standalone
2016
Cited alongside, same era.
Xu, K., Feng, Y., Reddy, S., Huang, S., Zhao, D.: Enhancing Freebase Question Answering Using Textual Evidence. CoRR (2016)
2016
Cited alongside, same era.
Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching Word Vectors with Subword Information. Trans. Assoc. Comput. Linguistics (2017)
2017
Soares L.B., FitzGerald N., Ling J., Kwiatkowski T.: Matching the Blanks: Distributional Similarity for Relation Learning. In: Proceedings of the 57th Conference of the Association for Computational Linguistics (2019)
2019
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Trisedya B., D., Weikum, G., Qi, J., Zhang, R.: Neural Relation Extraction for Knowledge Base Enrichment. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL, Florence, Italy, (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
Zhang, D., Mukherjee, S., Lockard, C., Dong, X. L., McCallum, A.:OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT (2019), pp. 762–772
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Cited alongside, same era.
Gashteovski, K., Gemulla, R., Del Corro, L.: MinIE: Minimizing Facts in Open Information Extraction. In:Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, ACL, Copenhagen, Denmark, (2017)
2017
Cited alongside, same era.
KBP-Cold-Start-Track Homepage, https://tac.nist.gov/2017/KBP/ColdStart/
2017
Cited alongside, same era.
Marcheggiani, D., Roth, M., Titov, I., Van Durme, B.:Semantic Role Labeling. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts. Copenhagen, Denmark (2017)
2017
Cited alongside, same era.
Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR (2018)
2018
Cited alongside, same era.
Han, X., Zhu, H., Yu, P., Wang, Z., Yao, Y., Liu, Z, Sun, M: FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation. In:Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, ACL, Brussels, Belgium (2018)
2018
Cited alongside, same era.
Martínez-Rodríguez, J., L., López-Arévalo, I., Ríos-Alvarado, A., B.: OpenIE-based approach for Knowledge Graph construction from text. Expert Syst. Appl. (2018)
2018
Cited alongside, same era.
Peters, M., E., Neumann, M., Iyyer, M., Gardner M., Clark, C., Lee, K., Zettlemoye, L.: Deep Contextualized Word Representations. In: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, ACL, New Orleans, Louisiana, USA (2018)
2018
Cited alongside, same era.
2018
Cited alongside, same era.
2019
Later among the works it cites.
Zhang, Z., Han, H., Liu, Z., Jiang, X., Sun, M., Liu, Q.: ERNIE: Enhanced Language Representation with Informative Entities. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, ACL, (2019)
2019
Later among the works it cites.
Gashteovski K.,Gemulla R., Kotnis B., Hertling S., Meilicke C. : On Aligning OpenIE Extractions with Knowledge Bases: A Case Study. In: Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, ACL, (2020)
2020
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Joshi, M., Chen, D., Liu, Y., Weld, D., S., Zettlemoyer, L., Levy, O.: SpanBERT: Improving Pre-training by Representing and Predicting Spans. Trans. Assoc. Comput. Linguistics (2020). Implementation is available at https://allenai.org/allennlp
2020
Later among the works it cites.
Li, B., Min, S., Iyer, S., Mehdad, Y., Yih, W.: Efficient One-Pass End-to-End Entity Linking for Questions. In:Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, ACL, Online (2020). Implementation is available at https://github.com/facebookresearch/BLINK/tree/main/elq
2020
Later among the works it cites.
2020
Later among the works it cites.
Schweter, S., Akbik, A.: FLERT: Document-Level Features for Named Entity Recognition. CoRR (2020). Implementation is available at https://github.com/flairNLP/flair
2020
Later among the works it cites.
Boros E., Moreno J., Doucet A.: Event Detection with Entity Markers. In: Proceedings of the 43rd European Conference on IR Research (2021)
2021
Later among the works it cites.
Sachan, D., S., Zhang, Y., Qi, P., Hamilton, W., L.: Do Syntax Trees Help Pre-trained Transformers Extract Information? In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, ACL, Online (2021)
2021
Later among the works it cites.
Wang, Y., Yao, Q., Kwok, T.J., Ni, M.L.: Generalizing from a Few Examples: A Survey on Few-shot Learning. ACM Computing Surveys 53
2021
Later among the works it cites.
Wang, C., Liu, X., Chen, Z., Hong, H., Tang, J., Song, D.: Zero-Shot Information Extraction as a Unified Text-to-Triple Translation. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, ACL, (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Bayat Farima F., Bhutani N., and Jagadish H. : CompactIE: Compact Facts in Open Information Extraction. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL, 2022
2022
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