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Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.

, , , , , , , and . LREC, European Language Resources Association (ELRA), (2018)

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A Dataset of General-Purpose Rebuttal., , , , , , , , , and 1 other author(s). EMNLP/IJCNLP (1), page 5590-5600. Association for Computational Linguistics, (2019)Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining., , , , , , , , , and 1 other author(s). CoRR, (2019)Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining., , , , , , , , , and . ArgMining@ACL, page 58-66. Association for Computational Linguistics, (2019)Shades: Expediting Kademlia's lookup process., , and . Computer Networks, (2016)Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution., , , , , , , and . LREC, European Language Resources Association (ELRA), (2018)Shades: Expediting Kademlia's Lookup Process., , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 391-402. Springer, (2014)Project Debater APIs: Decomposing the AI Grand Challenge., , , , and . EMNLP (Demos), page 267-274. Association for Computational Linguistics, (2021)Replicated erasure codes for storage and repair-traffic efficiency., , and . P2P, page 1-10. IEEE, (2014)Learning to combine Grammatical Error Corrections., , , , , , , and . BEA@ACL, page 139-148. Association for Computational Linguistics, (2019)Listening Comprehension over Argumentative Content., , , , , , , , , and . EMNLP, page 719-724. Association for Computational Linguistics, (2018)