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HULTECH at the NTCIR-10 INTENT-2 Task: Discovering User Intents through Search Results Clustering.

, and . NTCIR, National Institute of Informatics (NII), (2013)

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Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers., , , and . SemEval@NAACL-HLT, page 981-984. Association for Computational Linguistics, (2019)Easy Web Search Results Clustering: When Baselines Can Reach State-of-the-Art Algorithms., and . EACL, page 1-5. The Association for Computer Linguistics, (2014)Stratégie Multitâche pour la Classification Multiclasse (A Multitask Strategy for Multiclass Classification)., , , and . TALN (1), page 227-236. ATALA, (2021)Oui mais... ChatGPT peut-il identifier des entités dans des documents historiques ?, , , , , and . CORIA-TALN (4), page 74-82. ATALA, (2023)Using CHERCHE to Empower Newcomers into Neural Information Retrieval - Extended Abstract., , , and . CIRCLE, volume 3178 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Exploring SBERT and Mixup Data Augmentation in Rhetorical Role Labeling of Indian Legal Sentences., , , , and . CIRCLE, volume 3178 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Yes but.. Can ChatGPT Identify Entities in Historical Documents?, , , , , and . JCDL, page 184-189. IEEE, (2023)Combining Word and Entity Embeddings for Entity Linking., , , , , , , and . ESWC (1), volume 10249 of Lecture Notes in Computer Science, page 337-352. (2017)Alleviating Digitization Errors in Named Entity Recognition for Historical Documents., , , , , , and . CoNLL, page 431-441. Association for Computational Linguistics, (2020)ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities., , , , , , and . SIGIR, page 3108-3120. ACM, (2022)