If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering. Yadav, V., Bethard, S., & Surdeanu, M. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4571–4581, Online, June, 2021. Association for Computational Linguistics. [Acceptance rate 26%]
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering [link]Paper  bibtex   
@inproceedings{yadav-etal-2021-want,
    title = "If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering",
    author = "Yadav, Vikas  and
      Bethard, Steven  and
      Surdeanu, Mihai",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2021.naacl-main.363",
    pages = "4571--4581",
    note = {[Acceptance rate 26\%]},
    keywords = {question answering},
}

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