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Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering.

, , , и . SustaiNLP@EMNLP, стр. 58-63. Association for Computational Linguistics, (2021)

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Blagoje Nikosavi

Nikos Green

Nikos Papamichail

Nikos Wallburger

Nikos Parlavantzas

 

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Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering., , , и . SustaiNLP@EMNLP, стр. 58-63. Association for Computational Linguistics, (2021)Supporting search engines with knowledge and context.. SIGIR Forum, 55 (2): 23:1-23:2 (2021)The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS)., , , и . CIKM, стр. 5173-5174. ACM, (2022)ILPS at TREC 2019 Conversational Assistant Track., , , и . TREC, том 1250 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2019)A Comparison of Question Rewriting Methods for Conversational Passage Retrieval., , , и . ECIR (2), том 12657 из Lecture Notes in Computer Science, стр. 418-424. Springer, (2021)Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search., , , и . ICTIR, стр. 129-132. ACM, (2020)Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval., , , и . TREC, том 1266 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)Analysing Dense Passage Retrieval for Multi-hop Question Answering., , , и . CoRR, (2021)Query-Dependent Contextualization of Streaming Data., , , , и . ECIR, том 8416 из Lecture Notes in Computer Science, стр. 706-712. Springer, (2014)Query Resolution for Conversational Search with Limited Supervision., , , , и . SIGIR, стр. 921-930. ACM, (2020)