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FALCON: Boosting Knowledge for Answer Engines., , , , , , , , and . TREC, volume 500-249 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2000)Alignment over Heterogeneous Embeddings for Question Answering., , and . NAACL-HLT (1), page 2681-2691. Association for Computational Linguistics, (2019)Improving Semantic Role Classification with Selectional Preferences., , , and . HLT-NAACL, page 373-376. The Association for Computational Linguistics, (2010)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)Validity Assessment of Legal Will Statements as Natural Language Inference., , , , and . EMNLP (Findings), page 6047-6056. Association for Computational Linguistics, (2022)Multi-instance Multi-label Learning for Relation Extraction., , , and . EMNLP-CoNLL, page 455-465. ACL, (2012)Low Resource Causal Event Detection from Biomedical Literature., , , and . BioNLP@ACL, page 252-263. Association for Computational Linguistics, (2022)On Learning Bipolar Gradual Argumentation Semantics with Neural Networks., , , and . ICAART (2), page 493-499. SCITEPRESS, (2024)Analyzing the language of food on social media., , , , and . IEEE BigData, page 778-783. IEEE Computer Society, (2014)A Compact Pretraining Approach for Neural Language Models., , , and . CoRR, (2022)