Indirectly Named Entity Recognition
DOI:
https://doi.org/10.4995/jclr.2021.15922Keywords:
named entities, indirectly named entities, information extraction, named entity recognition, multiword expressions, text processing, text miningAbstract
We define here indirectly named entities, as a term to denote multiword expressions referring to known named entities by means of periphrasis. While named entity recognition is a classical task in natural language processing, little attention has been paid to indirectly named entities and their treatment. In this paper, we try to address this gap, describing issues related to the detection and understanding of indirectly named entities in texts. We introduce a proof of concept for retrieving both lexicalised and non-lexicalised indirectly named entities in French texts. We also show example cases where this proof of concept is applied, and discuss future perspectives. We have initiated the creation of a first lexicon of 712 indirectly named entity entries that is available for future research.
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References
Abney, Steven. 1987. "The English Noun Phrase in its Sentential Aspect." PhD diss., Massachusetts Institute of Technology.
Alsharaf, H., S. Cardey, P. Greenfield, D. Limame, and I. Skouratov. 2003. "Fixedness, the complexity and fragility of the phenomenon: some solutions for natural language processing." In Proceedings of ICL17. Prague, Czech Republic: Matfyzpress.
Ananthanarayanan, Rema, Vijil Chenthamarakshan, Prasad M Deshpande, and Raghuram Krishnapuram. 2008. "Rule Based Synonyms for Entity Extraction from Noisy Text." In Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data AND '08, 31-38. Singapore: Association for Computing Machinery. https://doi.org/10.1145/1390749.1390756
Bachellier, Jean-Louis. 1972. "Sur-Nom." Le texte: de la théorie à la recherche, no. 19: 69-92. doi :10.3406/comm.1972.1283. https://doi.org/10.3406/comm.1972.1283
Baldwin, Timothy, and Su Nam Kim. 2013. "Multiword Expressions." In Handbook of Natural Language Processing, Second Edition, edited by Nitin Indurkhya and Fred J. Damerau, 267-292. Boca Raton, USA: CRCPress.
Bohn, C., and Kjeti Nørvag. 2010. "Extracting Named Entities and Synonyms from Wikipedia." In Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 1300-1307. https://doi.org/10.1109/AINA.2010.50
Cai, Desheng, and Gongqing Wu. 2019. "Content-aware attributed entity embedding for synonymous named entity discovery." Neurocomputing 329: 237-247. https://doi.org/10.1016/j.neucom.2018.10.055
Chakrabarti, K., S. Chaudhuri, T. Cheng, and Dong Xin. 2012. "A framework for robust discovery of entity synonyms." In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1384-1392, Beijing, China: Association for Computing Machinery. https://doi.org/10.1145/2339530.2339743
Charton, Eric, Michel Gagnon, and Benoit Ozell. 2011. "Génération automatique de motifs de détection d'entités nommées en utilisant des contenus encyclopédiques (Automatic generation of named entity detection patterns using encyclopedic contents)" [in French]. In Actes de la 18e conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, 13-24. Montpellier, France: ATALA.
Cho, Hyejin, Wonjun Choi, and Hyunju Lee. 2017. "A method for named entity normalization in biomedical articles: application to diseases and plants." BMC bioinformatics 18, no. 1 ( 1-12. https://doi.org/10.1186/s12859-017-1857-8
Devlin, Jacob, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding." In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), 4171-4186. Minneapolis, Minnesota: Association for Computational Linguistics.
Friburger, Nathalie. 2006. "Linguistique et reconnaissance automatique des noms propres." Meta 51, no. 4: 637-650. doi:10.7202/014331ar. https://doi.org/10.7202/014331ar
Guenoune, Hani, Kevin Cousot, Mathieu Lafourcade, Melissa Mekaoui, and Cédric Lopez. 2020. "A Dataset for Anaphora Analysis in French Emails." In Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, 165-175. Barcelona, Spain (online): Association for Computational Linguistics.
Honnibal, Matthew, and Ines Montani. 2017. "spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing."
Kampeera, Wannachai, and Sylviane Cardey-Greenfield. 2012. "Building a Lexically and Semantically-Rich Resource for Paraphrase Processing." In Advances in Natural Language Processing, edited by Hitoshi Isahara and Kyoko Kanzaki, 138-143. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-33983-7_14
Kauffmann, Alexis. 2013. "Structural Asymmetries in Machine Translation: The case of English-Japanese". PhD diss., Université de Genève. https://doi.org/10.13097/archive-ouverte/unige:34540.
Lample, Guillaume, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016. "Neural Architectures for Named Entity Recognition." In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 260-270. San Diego, California: Association for Computational Linguistics. https://doi.org/10.18653/v1/N16-1030
Lin, Bill Yuchen, Dong-Ho Lee, M. Shen, Ryan Rene Moreno, X. Huang, Prashant Shiralkar, and X. Ren. 2020. "TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition." In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 8503-8511. Online: Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.acl-main.752
Lopez, C., Melissa Mekaoui, K. Aubry, Jean Bort, and Philippe Garnier. 2019. "Reconnaissance d'entités nommées itérative sur une structure en dépendances syntaxiques avec l'ontologie NERD." Revue des Nouvelles Technologies de l'Information, Extraction et Gestion des connaissances, RNTI-E-35, 81-92.
Ma, Jie, Jun Liu, Y. Li, X. Hu, Yudai Pan, S. Sun, and Qika Lin. 2020. "Jointly Optimized Neural Coreference Resolution with Mutual Attention." In Proceedings of the 13th International Conference on Web Search and Data Mining. Houston, Texas, USA: Association for Computing Machinery. https://doi.org/10.1145/3336191.3371787
Manning, Christopher D., Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014. The Stanford CoreNLP Natural Language Processing Toolkit In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55-60. Baltimore, Maryland: Association for Computational Linguistics. https://doi.org/10.3115/v1/P14-5010
Martin, Louis, Benjamin Muller, Pedro Javier Ortiz Suarez, Yoann Dupont, Laurent Romary, Eric Villemonte de la Clergerie, Benoıt Sagot, and Djamé Seddah. 2020. "Les modèles de langue contextuels CamemBERT pour le français: impact de la taille et de l'hétérogénéité des données d'entrainement (CamemBERT Contextual Language Models for French: Impact of Training Data Size and Heterogeneity)" [in French]. In Actes de la 6e conférence conjointe Journées d'Etudes sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Etudiants Chercheurs en Informatique pour le' Traitement Automatique des Langues (RECITAL, 22e édition). Volume 2: Traitement Automatique des Langues Naturelles, 54-65. Nancy, France: ATALA et AFCP.
Mitkov, Ruslan. 2014. Anaphora resolution. Routledge. https://doi.org/10.4324/9781315840086
Mohamed, Muhidin A., and Mourad Chabane Oussalah. 2020. "A hybrid approach for paraphrase identification based on knowledge-enriched semantic heuristics." Language Resources and Evaluation 54 : 457-485. https://doi.org/10.1007/s10579-019-09466-4
Nadeau, David, and Satoshi Sekine. 2007. "A survey of named entity recognition and classification." Lingvisticae Investigationes 30: 3-26. https://doi.org/10.1075/li.30.1.03nad
Nayel, Hamada A., H. L. Shashirekha, Hiroyuki Shindo, and Yuji Matsumoto. 2019. "Improving Multi-Word Entity Recognition for Biomedical Texts." CoRRabs/1908.05691. arXiv:1908.05691.
Nebhi, Kamel. 2013. "Named Entity Disambiguation using Freebase and Syntactic Parsing." In LD4IE@ISWC.
Nouvel, Damien, Maud Ehrmann, and Sophie Rosset. 2016. "Evaluating Named Entity Recognition." Chap. 6 in Named Entities for Computational Linguistics, 111-129. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781119268567.ch6
Ortiz Suarez, Pedro Javier, Yoann Dupont, Benjamin Muller, Laurent Romary, and Benoıt Sagot. 2020. "Establishing a New State-of-the-Art for French Named Entity Recognition" [in English]. In Proceedings of the 12th Language Resources and Evaluation Conference, 4631-4638. Marseille, France: European Language Resources Association.
Petit, Gérard. 2006. "Le nom de marque déposée : nom propre, nom commun et terme." Meta 51, no. 4: 690-705. doi:10.7202/014335ar. https://doi.org/10.7202/014335ar
Qu, Meng, Xiang Ren, and Jiawei Han. 2017. "Automatic Synonym Discovery with Knowledge Bases." In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 997-1005. KDD '17. Halifax, NS, Canada: Association for Computing Machinery. https://doi.org/10.1145/3097983.3098185
Racicot, André. 2009. "Traduire le monde: Venise du Nord et autres surnoms." L'Actualité langagière, vol. 6, n° 2, 23. Travaux publics et Services gouvernementaux Canada.
Rey, François-Claude, and Kauffmann Alexis. 2021. "French indirectly named entities (version 1.3) [Data set]." Zenodo. https://doi.org/10.5281/zenodo.5158253.
Rosales-Méndez, Henry, Aidan Hogan, and Barbara Poblete. 2019. "Fine-Grained Evaluation for Entity Linking." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 718-727. Hong Kong, China: Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1066
Sales, Juliano Efson, André Freitas, Brian Davis, and Siegfried Handschuh. 2016. "A Compositional-Distributional Semantic Model for Searching Complex Entity Categories." In Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 199-208. Berlin, Germany: Association for Computational Linguistics. https://doi.org/10.18653/v1/S16-2025
Schmitt, X., S. Kubler, J. Robert, M. Papadakis, and Y. LeTraon. 2019. "A Replicable Comparison Study of NER Software: StanfordNLP, NLTK, OpenNLP, SpaCy, Gate." In Proceedings of the Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), 338-343. https://doi.org/10.1109/SNAMS.2019.8931850
Shang, Jingbo, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, and Jiawei Han. 2018. "Learning Named Entity Tagger using Domain-Specific Dictionary." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2054-2064. Brussels, Belgium: Association for Computational Linguistics. https://doi.org/10.18653/v1/D18-1230
Shen, Jiaming, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, and Jiawei Han. 2019. "Mining entity synonyms with efficient neural set generation." In Proceedings of the AAAI Conference on Artificial Intelligence, 33:249-256. doi:10.1609/aaai.v33i01.3301249. https://doi.org/10.1609/aaai.v33i01.3301249
Shinyama, Yusuke, Satoshi Sekine, and Kiyoshi Sudo. 2002. "Automatic Paraphrase Acquisition from News Articles." In Proceedings of the Second International Conference on Human Language Technology Research, 313-318. HLT '02. San Diego, California: Morgan Kaufmann Publishers Inc. https://doi.org/10.3115/1289189.1289218
Sjöblom, Paula. 2016. "Commercial names." Chap. V.31 in The Oxford Handbook of Names and Naming, edited by Carole Hough, 453-464. Oxford, UK: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199656431.013.56
Tenney, Ian, Dipanjan Das, and Ellie Pavlick. 2019. "BERT Rediscovers the Classical NLP Pipeline." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 4593-4601. Florence, Italy: Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1452
Treps, Marie. 2012. La rançon de la gloire - Les surnoms de nos politiques. Paris, France: Editions du Seuil.
Watanabe, Taiki, Akihiro Tamura, Takashi Ninomiya, Takuya Makino, and Tomoya Iwakura. 2019. "Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrasing." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 6244-6249. Hong Kong, China: Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1648
Wehrli, Eric, and Luka Nerima. 2018. "Anaphora resolution, collocations and translation." In Multiword units in machine translation and translation technology, edited by Johanna Monti, Violeta Seretan, Gloria Corpas Pastor, and Ruslan Mitkov, 244-256. John Benjamins. https://doi.org/10.1075/cilt.341.12weh
Wehrli, Eric, Violeta Seretan, and Luka Nerima. 2010. "Sentence Analysis and Collocation Identification." In Proceedings of the 2010 Workshop on Multiword Expressions: from Theory to Applications, 28-36. Beijing, China: Coling 2010 Organizing Committee.
Weston, L., V. Tshitoyan, J. Dagdelen, O. Kononova, A. Trewartha, K. A. Persson, G. Ceder, and A. Jain. 2019. "Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature." Journal of Chemical Information and Modeling 59, no. 9: 3692-3702. doi: 10.1021/acs.jcim.9b00470. https://doi.org/10.1021/acs.jcim.9b00470
Wu, G., Y. He, and X. Hu. 2018. "Entity Linking: An Issue to Extract Corresponding Entity With Knowledge Base." IEEE Access 6: 6220-6231. doi:10.1109/ACCESS.2017.2787787. https://doi.org/10.1109/ACCESS.2017.2787787
Yang, Yiying, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, and Jianping Shen. 2021. "KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph." In Database Systems for Advanced Applications, edited by Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, and Chih-Ya Shen, 174-190. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-73194-6_13
Zhang, Ruoyu, Wenpeng Lu, Shoujin Wang, Xueping Peng, Rui Yu, and Yuan Gao. 2021. "Chinese clinical named entity recognition based on stacked neural network." Concurrency and Computation: Practice and Experience : 33:e5775. doi:10.1002/cpe.5775. https://doi.org/10.1002/cpe.5775
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