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Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research.

, , , , , , , , , and . ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 559-564. Springer, (2021)

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Do We Really Need Lexical Information? Towards a Top-down Approach to Sentiment Analysis of Product Reviews., and . HLT-NAACL, page 1559-1568. The Association for Computational Linguistics, (2015)Neural Networks for Food Export Gain Forecasting., , , and . IEEE Conf. on Intelligent Systems, page 312-317. IEEE, (2018)Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration., , , and . NLP4COVID@EMNLP, Association for Computational Linguistics, (2020)Towards Framework for Discovery of Export Growth Points., , , and . DAMDID/RCDL, volume 2022 of CEUR Workshop Proceedings, page 142-147. CEUR-WS.org, (2017)Impact of detecting clinical trial elements in exploration of COVID-19 literature., , , , , , and . ICHI, page 495-496. IEEE, (2021)COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research., , , , , , , , , and . CoRR, (2020)Impact of detecting clinical trial elements in exploration of COVID-19 literature., , , , , , and . CoRR, (2021)Brief Description of COVID-SEE: The Scientific Evidence Explorer for COVID-19 Related Research., , , , , , , , , and . ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 559-564. Springer, (2021)