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CHERCHE: A New Tool to Rapidly Implement Pipelines in Information Retrieval.

, , , and . SIGIR, page 3283-3288. ACM, (2022)

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Multi-view multi-objective clustering-based framework for scientific document summarization using citation context., , , , and . Appl. Intell., 53 (14): 18002-18026 (July 2023)Oui mais... ChatGPT peut-il identifier des entités dans des documents historiques ?, , , , , and . CORIA-TALN (4), page 74-82. ATALA, (2023)Combining Word and Entity Embeddings for Entity Linking., , , , , , , and . ESWC (1), volume 10249 of Lecture Notes in Computer Science, page 337-352. (2017)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)Knowledge Base Embedding By Cooperative Knowledge Distillation., , , and . COLING, page 5579-5590. International Committee on Computational Linguistics, (2020)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)MOO-CMDS+NER: Named Entity Recognition-Based Extractive Comment-Oriented Multi-document Summarization., , , and . ECIR (2), volume 13981 of Lecture Notes in Computer Science, page 580-588. Springer, (2023)Alleviating Digitization Errors in Named Entity Recognition for Historical Documents., , , , , , and .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)