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Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models.

, , , и . Insights, стр. 32-40. Association for Computational Linguistics, (2020)

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Elisabetta Ragagnin

Elisabetta Pallante

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Elisabetta Barberio

 

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Word Embeddings for Unsupervised Named Entity Linking., , , и . KSEM (2), том 11776 из Lecture Notes in Computer Science, стр. 115-132. Springer, (2019)Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders., , и . ICDM, том 6171 из Lecture Notes in Computer Science, стр. 237-247. Springer, (2010)Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content., , , и . CoRR, (2021)Audio-based Emotion Recognition for Advanced Automatic Retrieval in Judicial Domain., , , и . ICT4Justice, том 463 из CEUR Workshop Proceedings, CEUR-WS.org, (2008)Emotional states in judicial courtrooms: An experimental investigation., , и . Speech Commun., 54 (1): 11-22 (2012)On the Generalization of Figurative Language Detection: The Case of Irony and Sarcasm., , и . NLDB, том 12801 из Lecture Notes in Computer Science, стр. 178-186. Springer, (2021)Overview of the Task on Automatic Misogyny Identification at IberEval 2018., , и . IberEval@SEPLN, том 2150 из CEUR Workshop Proceedings, стр. 214-228. CEUR-WS.org, (2018)Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection., , , , , , , , , и 7 other автор(ы). CLEF, том 13390 из Lecture Notes in Computer Science, стр. 382-394. Springer, (2022)AMI @ EVALITA2020: Automatic Misogyny Identification., , и . EVALITA, том 2765 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Automatic Identification and Classification of Misogynistic Language on Twitter., , и . NLDB, том 10859 из Lecture Notes in Computer Science, стр. 57-64. Springer, (2018)