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Improving Semantic Role Classification with Selectional Preferences., , , and . HLT-NAACL, page 373-376. The Association for Computational Linguistics, (2010)Alignment over Heterogeneous Embeddings for Question Answering., , and . NAACL-HLT (1), page 2681-2691. Association for Computational Linguistics, (2019)Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models., , , , , , , , , and 7 other author(s). NAACL-HLT (Demonstrations), page 42-47. Association for Computational Linguistics, (2019)FALCON: Boosting Knowledge for Answer Engines., , , , , , , , and . TREC, volume 500-249 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2000)Combining Extraction and Generation for Constructing Belief-Consequence Causal Links., , and . Insights@ACL, page 159-164. Association for Computational Linguistics, (2022)On Learning Bipolar Gradual Argumentation Semantics with Neural Networks., , , and . ICAART (2), page 493-499. SCITEPRESS, (2024)Performance issues and error analysis in an open-domain question answering system., , , and . ACM Trans. Inf. Syst., 21 (2): 133-154 (2003)A Compact Pretraining Approach for Neural Language Models., , , and . CoRR, (2022)Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification., , , , and . CoRR, (2024)Better Retrieval May Not Lead to Better Question Answering., , , , and . CoRR, (2022)