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Consumer Health Question Answering Using Off-the-Shelf Components.

, , , and . ECIR (2), volume 13981 of Lecture Notes in Computer Science, page 571-579. Springer, (2023)

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NEREL: A Russian Dataset with Nested Named Entities, Relations and Events., , , , , , , , and . RANLP, page 876-885. INCOMA Ltd., (2021)Prediction of News Popularity via Keywords Extraction and Trends Tracking., , and . AIST (Supplement), volume 1357 of Communications in Computer and Information Science, page 37-51. Springer, (2020)Consumer Health Question Answering Using Off-the-Shelf Components., , , and . ECIR (2), volume 13981 of Lecture Notes in Computer Science, page 571-579. Springer, (2023)NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition., , , , , , and . SemEval@NAACL, page 1570-1575. Association for Computational Linguistics, (2022)Webis at TREC 2022: Deep Learning and Health Misinformation., , , , , , , , , and 1 other author(s). TREC, volume 500-338 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)Sentence Embeddings for Russian NLU., , , , and . CoRR, (2019)NEREL: A Russian Dataset with Nested Named Entities and Relations., , , , , , , , and . CoRR, (2021)Evaluation of Sentence Embedding Models for Natural Language Understanding Problems in Russian., , , , and . AIST, volume 11832 of Lecture Notes in Computer Science, page 205-217. Springer, (2019)