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Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation.

, , and . WSDM, page 322-331. ACM, (2024)

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Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation., , and . CoRR, (2023)Syntactic complexity of Web search queries through the lenses of language models, networks and users., , , and . Inf. Process. Manag., 52 (5): 923-948 (2016)Leveraging Site Search Logs to Identify Missing Content on Enterprise Webpages., , , and . ECIR, volume 10193 of Lecture Notes in Computer Science, page 506-512. (2017)Overview of the FIRE 2013 Track on Transliterated Search., , , and . FIRE, page 4:1-4:7. ACM, (2013)Question Answering over Curated and Open Web Sources., and . ICTIR, page 193-194. ACM, (2020)Complex Temporal Question Answering on Knowledge Graphs., , , and . CIKM, page 792-802. ACM, (2021)Using Shape Patterns for Clustering Unstructured Text Documents., and . SEDE, page 13-18. ISCA, (2009)Place value: word position shifts vital to search dynamics., , , and . WWW (Companion Volume), page 153-154. International World Wide Web Conferences Steering Committee / ACM, (2013)Automated Linguistic Personalization of Targeted Marketing Messages Mining User-Generated Text on Social Media., , , and . CICLing (2), volume 9042 of Lecture Notes in Computer Science, page 203-224. Springer, (2015)Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks., , and . SIGIR, page 643-653. ACM, (2023)