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Representing Meaning with a Combination of Logical and Distributional Models

, , , , and . Computational Linguistics, 42 (4): 763-808 (2016)

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Crowdsourcing Information Extraction for Biomedical Systematic Reviews., , , , , , and . CoRR, (2016)MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection., , , , , , and . WWW, page 2507-2513. ACM / IW3C2, (2020)Implicit Argument Prediction as Reading Comprehension., and . AAAI, page 6284-6291. AAAI Press, (2019)Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning., , , , , , , and . ACL (Findings), page 768-777. Association for Computational Linguistics, (2023)The UTexas system for TAC SM-KBP task 3: Probabilistic generation of coherent hypotheses., , and . TAC, NIST, (2018)Attending to Entities for Better Text Understanding., and . CoRR, (2019)The UTexas system for TAC 2019 SM-KBP Task 3: Hypothesis detection with graph convolutional networks., , , , and . TAC, NIST, (2019)Dataless Knowledge Fusion by Merging Weights of Language Models., , , and . ICLR, OpenReview.net, (2023)DIWIFT: Discovering Instance-wise Influential Features for Tabular Data., , , , , , , , and . WWW, page 1673-1682. ACM, (2023)Debiased Representation Learning in Recommendation via Information Bottleneck., , , , , , and . Trans. Recomm. Syst., 1 (1): 1-27 (March 2023)