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Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers., , , и . SemEval@NAACL-HLT, стр. 981-984. Association for Computational Linguistics, (2019)Yes but.. Can ChatGPT Identify Entities in Historical Documents?, , , , , и . JCDL, стр. 184-189. IEEE, (2023)Combining Word and Entity Embeddings for Entity Linking., , , , , , , и . ESWC (1), том 10249 из Lecture Notes in Computer Science, стр. 337-352. (2017)Knowledge Base Embedding By Cooperative Knowledge Distillation., , , и . COLING, стр. 5579-5590. International Committee on Computational Linguistics, (2020)Using CHERCHE to Empower Newcomers into Neural Information Retrieval - Extended Abstract., , , и . CIRCLE, том 3178 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Exploring SBERT and Mixup Data Augmentation in Rhetorical Role Labeling of Indian Legal Sentences., , , , и . CIRCLE, том 3178 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Oui mais... ChatGPT peut-il identifier des entités dans des documents historiques ?, , , , , и . CORIA-TALN (4), стр. 74-82. ATALA, (2023)Stratégie Multitâche pour la Classification Multiclasse (A Multitask Strategy for Multiclass Classification)., , , и . TALN (1), стр. 227-236. ATALA, (2021)Easy Web Search Results Clustering: When Baselines Can Reach State-of-the-Art Algorithms., и . EACL, стр. 1-5. The Association for Computer Linguistics, (2014)MOO-CMDS+NER: Named Entity Recognition-Based Extractive Comment-Oriented Multi-document Summarization., , , и . ECIR (2), том 13981 из Lecture Notes in Computer Science, стр. 580-588. Springer, (2023)