{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T11:03:53Z","timestamp":1762254233359,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":57,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,4,25]]},"DOI":"10.1145\/3487553.3524703","type":"proceedings-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T22:41:30Z","timestamp":1660689690000},"page":"843-848","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Biomedical Word Sense Disambiguation with Contextualized Representation Learning"],"prefix":"10.1145","author":[{"given":"Mozhgan","family":"Saeidi","sequence":"first","affiliation":[{"name":"Computer Science, Dalhousie university, Canada"}]},{"given":"Evangelos","family":"Milios","sequence":"additional","affiliation":[{"name":"Computer Science, Dalhousie University, Canada"}]},{"given":"Norbert","family":"Zeh","sequence":"additional","affiliation":[{"name":"Computer Science, Dalhousie University, Canada"}]}],"member":"320","published-online":{"date-parts":[[2022,8,16]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"J.\u00a0Uszkoreit L. Jones A. N. Gomez L.\u00a0Kaiser A.\u00a0Vaswani N. Shazeer N.\u00a0Parmar and I. Polosukhin. 2017. Attention is all you need. https:\/\/arxiv.org\/abs\/1706.03762 1 (2017) 279\u2013288. https:\/\/arxiv.org\/abs\/1706.03762 J.\u00a0Uszkoreit L. Jones A. N. Gomez L.\u00a0Kaiser A.\u00a0Vaswani N. Shazeer N.\u00a0Parmar and I. Polosukhin. 2017. Attention is all you need. https:\/\/arxiv.org\/abs\/1706.03762 1 (2017) 279\u2013288. https:\/\/arxiv.org\/abs\/1706.03762"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00164"},{"key":"e_1_3_2_1_3_1","first-page":"3342","article-title":"Putting words in context: LSTM language models and lexical ambiguity","volume":"1","author":"Aina Laura","year":"2019","unstructured":"Laura Aina , Kristina Gulordava , and Gemma Boleda . 2019 . Putting words in context: LSTM language models and lexical ambiguity . ACL 1 (2019), 3342 \u2013 3348 . https:\/\/www.aclweb.org\/anthology\/W19-0423\/ Laura Aina, Kristina Gulordava, and Gemma Boleda. 2019. Putting words in context: LSTM language models and lexical ambiguity. ACL 1(2019), 3342\u20133348. https:\/\/www.aclweb.org\/anthology\/W19-0423\/","journal-title":"ACL"},{"key":"e_1_3_2_1_4_1","first-page":"4860","article-title":"Word sense induction with neural biLM and symmetric patterns","volume":"1","author":"Amrami Asaf","year":"2018","unstructured":"Asaf Amrami and Yoav Goldberg . 2018 . Word sense induction with neural biLM and symmetric patterns . In Proceeding of EMNLP 1 (2018), 4860 \u2013 4867 . https:\/\/www.aclweb.org\/anthology\/D18-1523\/ Asaf Amrami and Yoav Goldberg. 2018. Word sense induction with neural biLM and symmetric patterns. In Proceeding of EMNLP 1(2018), 4860\u20134867. https:\/\/www.aclweb.org\/anthology\/D18-1523\/","journal-title":"Proceeding of EMNLP"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.11259"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1110"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.conll-1.17"},{"key":"e_1_3_2_1_8_1","volume-title":"An embarrassingly simple approach for transfer learning from pretrained language models. arXiv preprint arXiv:1902.10547 1","author":"Chronopoulou Alexandra","year":"2019","unstructured":"Alexandra Chronopoulou , Christos Baziotis , and Alexandros Potamianos . 2019. An embarrassingly simple approach for transfer learning from pretrained language models. arXiv preprint arXiv:1902.10547 1 ( 2019 ), 279\u2013288. Alexandra Chronopoulou, Christos Baziotis, and Alexandros Potamianos. 2019. An embarrassingly simple approach for transfer learning from pretrained language models. arXiv preprint arXiv:1902.10547 1 (2019), 279\u2013288."},{"key":"e_1_3_2_1_9_1","first-page":"279","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","volume":"1","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding . NAACL 1 (2018), 279 \u2013 288 . https:\/\/www.aclweb.org\/anthology\/N19-1423\/ Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. NAACL 1(2018), 279\u2013288. https:\/\/www.aclweb.org\/anthology\/N19-1423\/","journal-title":"NAACL"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSC.2009.7"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00136984"},{"key":"e_1_3_2_1_12_1","unstructured":"Yoav Goldberg. 2019. Assessing BERT\u2019s syntactic abilities. CoRR abs\/1901.05287 1(2019) 279\u2013288. https:\/\/arxiv.org\/abs\/1901.05287 Yoav Goldberg. 2019. Assessing BERT\u2019s syntactic abilities. CoRR abs\/1901.05287 1(2019) 279\u2013288. https:\/\/arxiv.org\/abs\/1901.05287"},{"key":"e_1_3_2_1_13_1","unstructured":"John Hewitt and Christopher\u00a0D Manning. 2019. A structural probe for finding syntax in word representations. In ACL. ACM ACM 4129\u20134138. https:\/\/www.aclweb.org\/anthology\/N19-1419\/ John Hewitt and Christopher\u00a0D Manning. 2019. A structural probe for finding syntax in word representations. In ACL. ACM ACM 4129\u20134138. https:\/\/www.aclweb.org\/anthology\/N19-1419\/"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Ignacio Iacobacci Mohammad\u00a0Taher Pilehvar and Roberto Navigli. 2016. Embeddings for word sense disambiguation: An evaluation study. In ACL. ACM ACM 897\u2013907. https:\/\/www.aclweb.org\/anthology\/P16-1085.pdf Ignacio Iacobacci Mohammad\u00a0Taher Pilehvar and Roberto Navigli. 2016. Embeddings for word sense disambiguation: An evaluation study. In ACL. ACM ACM 897\u2013907. https:\/\/www.aclweb.org\/anthology\/P16-1085.pdf","DOI":"10.18653\/v1\/P16-1085"},{"key":"e_1_3_2_1_15_1","unstructured":"Ganesh Jawahar Beno\u00eet Sagot and Djam\u00e9 Seddah. 2019. What does BERT learn about the structure of language?. In ACL. ACM ACM 279\u2013288. https:\/\/www.aclweb.org\/anthology\/P19-1356\/ Ganesh Jawahar Beno\u00eet Sagot and Djam\u00e9 Seddah. 2019. What does BERT learn about the structure of language?. In ACL. ACM ACM 279\u2013288. https:\/\/www.aclweb.org\/anthology\/P19-1356\/"},{"key":"e_1_3_2_1_16_1","volume-title":"Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. BMC bioinformatics 12, 1","author":"Jimeno-Yepes J","year":"2011","unstructured":"Antonio\u00a0 J Jimeno-Yepes , Bridget\u00a0 T McInnes , and Alan\u00a0 R Aronson . 2011. Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. BMC bioinformatics 12, 1 ( 2011 ), 1\u201314. Antonio\u00a0J Jimeno-Yepes, Bridget\u00a0T McInnes, and Alan\u00a0R Aronson. 2011. Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. BMC bioinformatics 12, 1 (2011), 1\u201314."},{"key":"e_1_3_2_1_17_1","volume-title":"BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. arXiv preprint arXiv:2109.02237 1","author":"Lai Tuan","year":"2021","unstructured":"Tuan Lai , Heng Ji , and ChengXiang Zhai . 2021. BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. arXiv preprint arXiv:2109.02237 1 ( 2021 ), 279\u2013288. Tuan Lai, Heng Ji, and ChengXiang Zhai. 2021. BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. arXiv preprint arXiv:2109.02237 1 (2021), 279\u2013288."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00115"},{"key":"e_1_3_2_1_19_1","first-page":"5682","article-title":"Language modelling makes sense: Propagating representations through WordNet for full-coverage word sense disambiguation","volume":"1","author":"Loureiro Daniel","year":"2019","unstructured":"Daniel Loureiro and Alipio Jorge . 2019 . Language modelling makes sense: Propagating representations through WordNet for full-coverage word sense disambiguation . ACL 1 (2019), 5682 \u2013 5691 . https:\/\/www.aclweb.org\/anthology\/P19-1569 Daniel Loureiro and Alipio Jorge. 2019. Language modelling makes sense: Propagating representations through WordNet for full-coverage word sense disambiguation. ACL 1(2019), 5682\u20135691. https:\/\/www.aclweb.org\/anthology\/P19-1569","journal-title":"ACL"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00405"},{"key":"e_1_3_2_1_21_1","unstructured":"Jose\u00a0L Martinez-Rodriguez Aidan Hogan and Ivan Lopez-Arevalo. 2020. Information extraction meets the semantic web: a survey. Semantic Web Preprint(2020) 1\u201381. http:\/\/repositorio.uchile.cl\/bitstream\/handle\/2250\/174484\/Information-extraction-meets-the-Semantic-Web.pdf?sequence=1 Jose\u00a0L Martinez-Rodriguez Aidan Hogan and Ivan Lopez-Arevalo. 2020. Information extraction meets the semantic web: a survey. Semantic Web Preprint(2020) 1\u201381. http:\/\/repositorio.uchile.cl\/bitstream\/handle\/2250\/174484\/Information-extraction-meets-the-Semantic-Web.pdf?sequence=1"},{"key":"e_1_3_2_1_22_1","volume-title":"Learned in translation: Contextualized word vectors. arXiv preprint arXiv:1708.00107 1","author":"McCann Bryan","year":"2017","unstructured":"Bryan McCann , James Bradbury , Caiming Xiong , and Richard Socher . 2017. Learned in translation: Contextualized word vectors. arXiv preprint arXiv:1708.00107 1 ( 2017 ), 279\u2013288. Bryan McCann, James Bradbury, Caiming Xiong, and Richard Socher. 2017. Learned in translation: Contextualized word vectors. arXiv preprint arXiv:1708.00107 1 (2017), 279\u2013288."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Oren Melamud Jacob Goldberger and Ido Dagan. 2016. context2vec: Learning generic context embedding with bidirectional lstm. In SIGNLL. ACM ACM 51\u201361. https:\/\/www.aclweb.org\/anthology\/K16-1006\/ Oren Melamud Jacob Goldberger and Ido Dagan. 2016. context2vec: Learning generic context embedding with bidirectional lstm. In SIGNLL. ACM ACM 51\u201361. https:\/\/www.aclweb.org\/anthology\/K16-1006\/","DOI":"10.18653\/v1\/K16-1006"},{"key":"e_1_3_2_1_24_1","first-page":"321","article-title":"Efficient Estimation of Word Representations in Vector Space","volume":"4","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Kai Chen , Gregory\u00a0 S. Corrado , and Jeffrey Dean . 2013 . Efficient Estimation of Word Representations in Vector Space . Proceedings of ICLR 4 (2013), 321 \u2013 329 . https:\/\/arxiv.org\/pdf\/1301.3781.pdf Tomas Mikolov, Kai Chen, Gregory\u00a0S. Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. Proceedings of ICLR 4(2013), 321\u2013329. https:\/\/arxiv.org\/pdf\/1301.3781.pdf","journal-title":"Proceedings of ICLR"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1093\/ijl\/3.4.235"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3439726"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00179"},{"key":"e_1_3_2_1_28_1","volume-title":"Word sense disambiguation: A survey. ACM computing surveys (CSUR) 41, 2","author":"Navigli Roberto","year":"2009","unstructured":"Roberto Navigli . 2009. Word sense disambiguation: A survey. ACM computing surveys (CSUR) 41, 2 ( 2009 ), 1\u201369. https:\/\/dl.acm.org\/doi\/abs\/10.1145\/1459352.1459355 Roberto Navigli. 2009. Word sense disambiguation: A survey. ACM computing surveys (CSUR) 41, 2 (2009), 1\u201369. https:\/\/dl.acm.org\/doi\/abs\/10.1145\/1459352.1459355"},{"key":"e_1_3_2_1_29_1","volume-title":"BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial intelligence 193","author":"Navigli Roberto","year":"2012","unstructured":"Roberto Navigli and Simone\u00a0Paolo Ponzetto . 2012. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial intelligence 193 ( 2012 ), 217\u2013250. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0004370212000793 Roberto Navigli and Simone\u00a0Paolo Ponzetto. 2012. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial intelligence 193 (2012), 217\u2013250. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0004370212000793"},{"key":"e_1_3_2_1_30_1","volume-title":"Glove: Global vectors for word representation. In EMNLP. EMNLP, Qatar, 1532\u20131543. https:\/\/www.aclweb.org\/anthology\/D14-1162.pdf","author":"Pennington Jeffrey","year":"2014","unstructured":"Jeffrey Pennington , Richard Socher , and Christopher\u00a0 D Manning . 2014 . Glove: Global vectors for word representation. In EMNLP. EMNLP, Qatar, 1532\u20131543. https:\/\/www.aclweb.org\/anthology\/D14-1162.pdf Jeffrey Pennington, Richard Socher, and Christopher\u00a0D Manning. 2014. Glove: Global vectors for word representation. In EMNLP. EMNLP, Qatar, 1532\u20131543. https:\/\/www.aclweb.org\/anthology\/D14-1162.pdf"},{"key":"e_1_3_2_1_31_1","first-page":"2227","article-title":"Deep Contextualized Word Representations","volume":"1","author":"Peters Matthew","year":"2018","unstructured":"Matthew Peters , Mark Neumann , Mohit Iyyer , Matt Gardner , Christopher Clark , Kenton Lee , and Luke Zettlemoyer . 2018 . Deep Contextualized Word Representations . ACL 1 (2018), 2227 \u2013 2237 . https:\/\/www.aclweb.org\/anthology\/N18-1202 Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. Deep Contextualized Word Representations. ACL 1(2018), 2227\u20132237. https:\/\/www.aclweb.org\/anthology\/N18-1202","journal-title":"ACL"},{"key":"e_1_3_2_1_32_1","volume-title":"Knowledge enhanced contextual word representations. arXiv preprint arXiv:1909.04164 1","author":"Peters E","year":"2019","unstructured":"Matthew\u00a0 E Peters , Robert\u00a0 L Logan\u00a0IV, Roy Schwartz , Vidur Joshi , Sameer Singh , and Noah\u00a0 A Smith . 2019. Knowledge enhanced contextual word representations. arXiv preprint arXiv:1909.04164 1 ( 2019 ), 279\u2013288. https:\/\/arxiv.org\/pdf\/1909.04164.pdf Matthew\u00a0E Peters, Robert\u00a0L Logan\u00a0IV, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah\u00a0A Smith. 2019. Knowledge enhanced contextual word representations. arXiv preprint arXiv:1909.04164 1 (2019), 279\u2013288. https:\/\/arxiv.org\/pdf\/1909.04164.pdf"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"e_1_3_2_1_34_1","first-page":"1499","article-title":"Dissecting contextual word embeddings: Architecture and representation","volume":"1","author":"Peters E","year":"2018","unstructured":"Matthew\u00a0 E Peters , Mark Neumann , Luke Zettlemoyer , and Wen-tau Yih. 2018 . Dissecting contextual word embeddings: Architecture and representation . EMNLP 1 (2018), 1499 \u2013 1509 . https:\/\/www.aclweb.org\/anthology\/D18-1179\/ Matthew\u00a0E Peters, Mark Neumann, Luke Zettlemoyer, and Wen-tau Yih. 2018. Dissecting contextual word embeddings: Architecture and representation. EMNLP 1(2018), 1499\u20131509. https:\/\/www.aclweb.org\/anthology\/D18-1179\/","journal-title":"EMNLP"},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. ACM, ACM, 3480\u20133490","author":"Phu Minh\u00a0Tran","year":"2021","unstructured":"Minh\u00a0Tran Phu and Thien\u00a0Huu Nguyen . 2021 . Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures . In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. ACM, ACM, 3480\u20133490 . Minh\u00a0Tran Phu and Thien\u00a0Huu Nguyen. 2021. Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. ACM, ACM, 3480\u20133490."},{"key":"e_1_3_2_1_36_1","unstructured":"Mohammad\u00a0Taher Pilehvar David Jurgens and Roberto Navigli. 2013. Align disambiguate and walk: A unified approach for measuring semantic similarity. In ACL. ACM ACM 1341\u20131351. https:\/\/www.aclweb.org\/anthology\/P13-1132.pdf Mohammad\u00a0Taher Pilehvar David Jurgens and Roberto Navigli. 2013. Align disambiguate and walk: A unified approach for measuring semantic similarity. In ACL. ACM ACM 1341\u20131351. https:\/\/www.aclweb.org\/anthology\/P13-1132.pdf"},{"key":"e_1_3_2_1_37_1","first-page":"279","article-title":"Language Models are Unsupervised Multitask Learners","volume":"1","author":"Radford Alec","year":"2019","unstructured":"Alec Radford , Jeff Wu , Rewon Child , David Luan , Dario Amodei , and Ilya Sutskever . 2019 . Language Models are Unsupervised Multitask Learners . ACM 1 (2019), 279 \u2013 288 . Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019. Language Models are Unsupervised Multitask Learners. ACM 1(2019), 279\u2013288.","journal-title":"ACM"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Alessandro Raganato Claudio\u00a0Delli Bovi and Roberto Navigli. 2017. Neural sequence learning models for word sense disambiguation. In EMNLP. ACM ACM 1156\u20131167. Alessandro Raganato Claudio\u00a0Delli Bovi and Roberto Navigli. 2017. Neural sequence learning models for word sense disambiguation. In EMNLP. ACM ACM 1156\u20131167.","DOI":"10.18653\/v1\/D17-1120"},{"key":"e_1_3_2_1_39_1","first-page":"8594","article-title":"Visualizing and measuring the geometry of BERT","volume":"32","author":"Reif Emily","year":"2019","unstructured":"Emily Reif , Ann Yuan , Martin Wattenberg , Fernanda\u00a0 B Viegas , Andy Coenen , Adam Pearce , and Been Kim . 2019 . Visualizing and measuring the geometry of BERT . Advances in Neural Information Processing Systems 32 (2019), 8594 \u2013 8603 . https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/159c1ffe5b61b41b3c4d8f4c2150f6c4-Abstract.html Emily Reif, Ann Yuan, Martin Wattenberg, Fernanda\u00a0B Viegas, Andy Coenen, Adam Pearce, and Been Kim. 2019. Visualizing and measuring the geometry of BERT. Advances in Neural Information Processing Systems 32 (2019), 8594\u20138603. https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/159c1ffe5b61b41b3c4d8f4c2150f6c4-Abstract.html","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_40_1","unstructured":"Joseph Reisinger and Raymond Mooney. 2010. Multi-prototype vector-space models of word meaning. In Human Language Technologies: ACL Vol.\u00a01. ACM ACM 109\u2013117. https:\/\/www.aclweb.org\/anthology\/N10-1013.pdf Joseph Reisinger and Raymond Mooney. 2010. Multi-prototype vector-space models of word meaning. In Human Language Technologies: ACL Vol.\u00a01. ACM ACM 109\u2013117. https:\/\/www.aclweb.org\/anthology\/N10-1013.pdf"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00349"},{"key":"e_1_3_2_1_42_1","first-page":"283","article-title":"ContextBERT: Contextual Graph Representation Learning in Text Disambiguation","volume":"1","author":"Saeidi Mozhgan","year":"2021","unstructured":"Mozhgan Saeidi . 2021 . ContextBERT: Contextual Graph Representation Learning in Text Disambiguation . ACM 1 , 1 (2021), 283 \u2013 297 . http:\/\/ceur-ws.org\/Vol-2997\/paper2.pdf Mozhgan Saeidi. 2021. ContextBERT: Contextual Graph Representation Learning in Text Disambiguation. ACM 1, 1 (2021), 283\u2013297. http:\/\/ceur-ws.org\/Vol-2997\/paper2.pdf","journal-title":"ACM"},{"key":"e_1_3_2_1_43_1","volume-title":"Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation. In International Conference on Document Analysis and Recognition. Springer, ACM, ACM, 174\u2013186","author":"Saeidi Mozhgan","year":"2021","unstructured":"Mozhgan Saeidi , Evangelos Milios , and Norbert Zeh . 2021 . Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation. In International Conference on Document Analysis and Recognition. Springer, ACM, ACM, 174\u2013186 . Mozhgan Saeidi, Evangelos Milios, and Norbert Zeh. 2021. Contextualized Knowledge Base Sense Embeddings in Word Sense Disambiguation. In International Conference on Document Analysis and Recognition. Springer, ACM, ACM, 174\u2013186."},{"key":"e_1_3_2_1_44_1","volume-title":"Graph Convolutional Networks for Categorizing Online Harassment on Twitter. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, ACM, ACM, 946\u2013951","author":"Saeidi Mozhgan","year":"2021","unstructured":"Mozhgan Saeidi , Evangelos Milios , and Norbert Zeh . 2021 . Graph Convolutional Networks for Categorizing Online Harassment on Twitter. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, ACM, ACM, 946\u2013951 . Mozhgan Saeidi, Evangelos Milios, and Norbert Zeh. 2021. Graph Convolutional Networks for Categorizing Online Harassment on Twitter. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, ACM, ACM, 946\u2013951."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86159-9_37"},{"key":"e_1_3_2_1_46_1","volume-title":"Joint European Conference on Machine Learning and KDD. Springer, ACM, ACM, 283\u2013297","author":"Saeidi Mozhgan","year":"2019","unstructured":"Mozhgan Saeidi , Samuel Bruno da\u00a0S Sousa , Evangelos Milios , Norbert Zeh , and Lilian Berton . 2019 . Categorizing online harassment on Twitter . In Joint European Conference on Machine Learning and KDD. Springer, ACM, ACM, 283\u2013297 . https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-43887-6_22 Mozhgan Saeidi, Samuel Bruno da\u00a0S Sousa, Evangelos Milios, Norbert Zeh, and Lilian Berton. 2019. Categorizing online harassment on Twitter. In Joint European Conference on Machine Learning and KDD. Springer, ACM, ACM, 283\u2013297. https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-43887-6_22"},{"volume-title":"\u201cOneSeC","author":"Scarlini Bianca","key":"e_1_3_2_1_47_1","unstructured":"Bianca Scarlini , Tommaso Pasini , and Roberto Navigli . 2019. Just \u201cOneSeC \u201d for producing multilingual sense-annotated data. In ACL. ACM , ACM , 699\u2013709. https:\/\/www.aclweb.org\/anthology\/P19-1069.pdf Bianca Scarlini, Tommaso Pasini, and Roberto Navigli. 2019. Just \u201cOneSeC\u201d for producing multilingual sense-annotated data. In ACL. ACM, ACM, 699\u2013709. https:\/\/www.aclweb.org\/anthology\/P19-1069.pdf"},{"key":"e_1_3_2_1_48_1","first-page":"8758","article-title":"SensEmBERT: Context-enhanced sense embeddings for multilingual word sense disambiguation","volume":"34","author":"Scarlini Bianca","year":"2020","unstructured":"Bianca Scarlini , Tommaso Pasini , and Roberto Navigli . 2020 . SensEmBERT: Context-enhanced sense embeddings for multilingual word sense disambiguation . ACM 34 , 05 (2020), 8758 \u2013 8765 . https:\/\/ojs.aaai.org\/\/index.php\/AAAI\/article\/view\/6402 Bianca Scarlini, Tommaso Pasini, and Roberto Navigli. 2020. SensEmBERT: Context-enhanced sense embeddings for multilingual word sense disambiguation. ACM 34, 05 (2020), 8758\u20138765. https:\/\/ojs.aaai.org\/\/index.php\/AAAI\/article\/view\/6402","journal-title":"ACM"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Bianca Scarlini Tommaso Pasini and Roberto Navigli. 2020. With more contexts comes better performance: Contextualized sense embeddings for all-round Word Sense Disambiguation. In EMNLP. ACM ACM 3528\u20133539. https:\/\/www.aclweb.org\/anthology\/2020.emnlp-main.285\/ Bianca Scarlini Tommaso Pasini and Roberto Navigli. 2020. With more contexts comes better performance: Contextualized sense embeddings for all-round Word Sense Disambiguation. In EMNLP. ACM ACM 3528\u20133539. https:\/\/www.aclweb.org\/anthology\/2020.emnlp-main.285\/","DOI":"10.18653\/v1\/2020.emnlp-main.285"},{"key":"e_1_3_2_1_50_1","volume-title":"International Conference on Learning Representations 1 (2019","author":"Tenney Ian","year":"2019","unstructured":"Ian Tenney , Patrick Xia , Berlin Chen , Alex Wang , Adam Poliak , R\u00a0Thomas McCoy , Najoung Kim , Benjamin Van\u00a0Durme , Samuel\u00a0 R Bowman , Dipanjan Das , 2019 . What do you learn from context? probing for sentence structure in contextualized word representations . In International Conference on Learning Representations 1 (2019 ), 279\u2013288. https:\/\/arxiv.org\/abs\/1905.06316 Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R\u00a0Thomas McCoy, Najoung Kim, Benjamin Van\u00a0Durme, Samuel\u00a0R Bowman, Dipanjan Das, 2019. What do you learn from context? probing for sentence structure in contextualized word representations. In International Conference on Learning Representations 1 (2019), 279\u2013288. https:\/\/arxiv.org\/abs\/1905.06316"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441748"},{"key":"e_1_3_2_1_52_1","first-page":"5831","article-title":"Quantity doesn\u2019t buy quality syntax with neural language models","volume":"1","author":"Van\u00a0Schijndel Marten","year":"2019","unstructured":"Marten Van\u00a0Schijndel , Aaron Mueller , and Tal Linzen . 2019 . Quantity doesn\u2019t buy quality syntax with neural language models . EMNLP-IJCNLP 1 (2019), 5831 \u2013 5837 . https:\/\/www.aclweb.org\/anthology\/D19-1592\/ Marten Van\u00a0Schijndel, Aaron Mueller, and Tal Linzen. 2019. Quantity doesn\u2019t buy quality syntax with neural language models. EMNLP-IJCNLP 1(2019), 5831\u20135837. https:\/\/www.aclweb.org\/anthology\/D19-1592\/","journal-title":"EMNLP-IJCNLP"},{"key":"e_1_3_2_1_53_1","volume-title":"Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. arXiv preprint arXiv:2009.11564 1","author":"Weikum Gerhard","year":"2020","unstructured":"Gerhard Weikum , Luna Dong , Simon Razniewski , and Fabian Suchanek . 2020 . Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. arXiv preprint arXiv:2009.11564 1 (2020), 279\u2013288. https:\/\/arxiv.org\/pdf\/2009.11564.pdf Gerhard Weikum, Luna Dong, Simon Razniewski, and Fabian Suchanek. 2020. Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. arXiv preprint arXiv:2009.11564 1 (2020), 279\u2013288. https:\/\/arxiv.org\/pdf\/2009.11564.pdf"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741666"},{"key":"e_1_3_2_1_55_1","first-page":"2925","article-title":"Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition","volume":"35","author":"Wu Jin-Wen","year":"2021","unstructured":"Jin-Wen Wu , Fei Yin , Yan-Ming Zhang , Xu-Yao Zhang , and Cheng-Lin Liu . 2021 . Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition . ACM 35 , 4 (2021), 2925 \u2013 2933 . Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, and Cheng-Lin Liu. 2021. Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition. ACM 35, 4 (2021), 2925\u20132933.","journal-title":"ACM"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.3390\/info12050207"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2016.06.002"}],"event":{"name":"WWW '22: The ACM Web Conference 2022","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Virtual Event, Lyon France","acronym":"WWW '22"},"container-title":["Companion Proceedings of the Web Conference 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524703","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3487553.3524703","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:22Z","timestamp":1750188622000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524703"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":57,"alternative-id":["10.1145\/3487553.3524703","10.1145\/3487553"],"URL":"https:\/\/doi.org\/10.1145\/3487553.3524703","relation":{},"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"2022-08-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}