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Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection., , , , , and . EMNLP, page 440-450. The Association for Computational Linguistics, (2015)Stemming and Segmentation for Classical Tibetan., , , , , , and . CICLing (1), volume 9623 of Lecture Notes in Computer Science, page 294-306. Springer, (2016)A Hackathon for Classical Tibetan., , , and . J. Data Min. Digit. Humanit., (2019)An autonomous debating system., , , , , , , , , and 43 other author(s). Nat., 591 (7850): 379-384 (2021)A Dataset of General-Purpose Rebuttal., , , , , , , , , and 1 other author(s). EMNLP/IJCNLP (1), page 5590-5600. Association for Computational Linguistics, (2019)Cluster & Tune: Boost Cold Start Performance in Text Classification., , , , , , and . ACL (1), page 7639-7653. Association for Computational Linguistics, (2022)A Hackathon for Classical Tibetan., , , and . CoRR, (2016)Automatic Metaphor Interpretation Using Word Embeddings., , and . CoRR, (2020)Metaphor Interpretation Using Word Embeddings., , and . Computación y Sistemas, (2022)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)