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Accomplishments and challenges in literature data mining for biology.

, , , , and . Bioinform., 18 (12): 1553-1561 (2002)

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Introduction (Thematic Session: Text Mining in Biomedicine)., and . IJCNLP, volume 3248 of Lecture Notes in Computer Science, page 776-776. Springer, (2004)Sign Language Production With Avatar Layering: A Critical Use Case over Rare Words., , , , and . LREC, page 1519-1528. European Language Resources Association, (2022)Feature Attention Network: Interpretable Depression Detection from Social Media., , , and . PACLIC, Association for Computational Linguistics, (2018)Knowledge-Augmented Language Model Verification., , , , and . EMNLP, page 1720-1736. Association for Computational Linguistics, (2023)Leveraging Large Language Models With Vocabulary Sharing For Sign Language Translation., , , , and . ICASSP Workshops, page 1-5. IEEE, (2023)Detecting and Blocking False Sentiment Propagation., and . IJCNLP, page 354-362. The Association for Computer Linguistics, (2011)Text Mining and Management Tools for Resource Construction and Validation in the Life Sciences.. Ontologies and Text Mining for Life Sciences, volume 08131 of Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, (2008)CoMAGD: Annotation of Gene-Depression Relations., , , , , and . BioNLP@IJCNLP, page 104-113. Association for Computational Linguistics, (2015)A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit., , , and . CoNLL, page 552-561. Association for Computational Linguistics, (2021)Corpus annotation with a linguistic analysis of the associations between event mentions and spatial expressions., , and . PACLIC, ACL, (2015)