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Using ECCO-BERT and the Historical Thesaurus of English to Explore Concepts and Agency in Historical Writing Interpreting the Eighteenth-century Luxury Debate.

, , , , , , , , , , , , and . DH, (2023)

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Benchmarks for Unsupervised Discourse Change Detection., , and . HistoInformatics@JCDL, volume 2981 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection., , , and . SemEval@COLING, page 67-73. International Committee for Computational Linguistics, (2020)Grouping business news stories based on salience of named entities., , , , and . EACL (1), page 1096-1106. Association for Computational Linguistics, (2017)Topic Modelling Discourse Dynamics in Historical Newspapers., , , , and . DHN Post-Proceedings, volume 2865 of CEUR Workshop Proceedings, page 63-77. CEUR-WS.org, (2020)A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval., , and . CLSSTS@LREC, page 32-37. European Language Resources Association, (2020)Benchmarks and models for entity-oriented polarity detection., , and . NAACL-HLT (3), page 129-136. Association for Computational Linguistics, (2018)The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages., , , , , , and . BSNLP@ACL, page 63-74. Association for Computational Linguistics, (2019)Towards Never Ending Language Learning for Morphologically Rich Languages., , , and . BSNLP@EACL, page 108-118. Association for Computational Linguistics, (2017)Improving Supervised Classification Using Information Extraction., , , and . NLDB, volume 9103 of Lecture Notes in Computer Science, page 3-18. Springer, (2015)DL Team at SemEval-2018 Task 1: Tweet Affect Detection using Sentiment Lexicons and Embeddings., and . SemEval@NAACL-HLT, page 172-176. Association for Computational Linguistics, (2018)