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Assessing the quality of answers autonomously in community question-answering.

, , and . Int. J. Digit. Libr., 20 (4): 351-367 (2019)

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Retrieving people: Identifying potential answerers in Community Question-Answering., and . J. Assoc. Inf. Sci. Technol., 69 (10): 1246-1258 (2018)Interpretable Sequence Learning for Covid-19 Forecasting., , , , , , , , , and 4 other author(s). NeurIPS, (2020)Bad Users or Bad Content?: Breaking the Vicious Cycle by Finding Struggling Students in Community Question-Answering., , and . CHIIR, page 165-174. ACM, (2017)Discerning the Quality of Questions in Educational Q&Ausing Textual Features., , and . CHIIR, page 329-332. ACM, (2017)Interpretable Sequence Learning for COVID-19 Forecasting., , , , , , , , , and 5 other author(s). CoRR, (2020)CodecLM: Aligning Language Models with Tailored Synthetic Data., , , , , , , and . CoRR, (2024)A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan., , , , , , , , , and 19 other author(s). npj Digit. Medicine, (2021)Assessing the quality of answers autonomously in community question-answering., , and . Int. J. Digit. Libr., 20 (4): 351-367 (2019)Hyperlocal: inferring location of IP addresses in real-time bid requests for mobile ads., , , and . LBSN, page 24-33. ACM, (2013)Evaluating the Quality of Educational Answers in Community Question-Answering., , and . JCDL, page 129-138. ACM, (2016)