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Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization., , , and . ArgMining@EMNLP, page 32-38. Association for Computational Linguistics, (2017)Benchmarking Applied Semantic Inference: The PASCAL Recognising Textual Entailment Challenges., , and . Language, Culture, Computation (1), volume 8001 of Lecture Notes in Computer Science, page 409-424. Springer, (2014)Stance Classification of Context-Dependent Claims., , , , and . EACL (1), page 251-261. Association for Computational Linguistics, (2017)Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora., , , , , , , , , and 10 other author(s). COLING (Demos), page 6-9. ACL, (2014)Knowledge-Based Textual Inference via Parse-Tree Transformations., , and . J. Artif. Intell. Res., (2015)Addressing Discourse and Document Structure in the RTE Search Task., , , , , , and . TAC, NIST, (2009)Identifying and Following Expert Investors in Stock Microblogs., , , , and . EMNLP, page 1310-1319. ACL, (2011)Part-of-speech tagging of Modern Hebrew text., , and . Natural Language Engineering, 14 (2): 223-251 (2008)Expert Stance Graphs for Computational Argumentation., , and . ArgMining@ACL, The Association for Computer Linguistics, (2016)From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion., , , , , , , , , and . ACL (1), page 977-990. Association for Computational Linguistics, (2019)