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Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings.

, , , , , , , and . BioNLP@ACL, page 328-338. Association for Computational Linguistics, (2019)

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Querying the Fragments of English.. WoLLIC, volume 6642 of Lecture Notes in Computer Science, page 257-271. Springer, (2011)Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents., , , , , , , , , and 1 other author(s). CLEF, volume 13390 of Lecture Notes in Computer Science, page 521-540. Springer, (2022)Focused Contrastive Loss for Classification With Pre-Trained Language Models., , , , , , , and . IEEE Trans. Knowl. Data Eng., 36 (7): 3047-3061 (July 2024)English Querying over Ontologies: E-QuOnto., , , , and . AI*IA, volume 4733 of Lecture Notes in Computer Science, page 170-181. Springer, (2007)Semantic Complexity of Quantifiers and Their Distribution in Corpora., and . IWCS, page 64-69. The Association for Computer Linguistics, (2015)Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents., , , , , , , , , and 14 other author(s). CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 758-781. CEUR-WS.org, (2022)The Expressive Power of DL-Lite.. CoRR, (2014)Conditional Random Fields for Spanish Named Entity Recognition Using Unsupervised Features., , , and . IBERAMIA, volume 10022 of Lecture Notes in Computer Science, page 175-186. (2016)Stress Test Evaluation of Biomedical Word Embeddings., , , , and . BioNLP@NAACL-HLT, page 119-125. Association for Computational Linguistics, (2021)Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings., , , , , , , and . BioNLP@ACL, page 328-338. Association for Computational Linguistics, (2019)