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Simplifying Lexical Simplification: Do We Need Simplified Corpora?

, and . ACL (2), page 63-68. The Association for Computer Linguistics, (2015)

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Political Text Scaling Meets Computational Semantics., , , and . CoRR, (2019)TAKELAB: Medical Information Extraction and Linking with MINERAL.. SemEval@NAACL-HLT, page 389-393. The Association for Computer Linguistics, (2015)TakeLab: Systems for Measuring Semantic Text Similarity., , , , and . SemEval@NAACL-HLT, page 441-448. The Association for Computer Linguistics, (2012)From Requirements to Code: Syntax-Based Requirements Analysis for Data-Driven Application Development., , and . NLDB, volume 7337 of Lecture Notes in Computer Science, page 339-344. Springer, (2012)Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model., and . NAACL-HLT (2), page 181-187. Association for Computational Linguistics, (2018)How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions., , , and . ACL (1), page 710-721. Association for Computational Linguistics, (2019)Conditional Random Fields for Spanish Named Entity Recognition Using Unsupervised Features., , , and . IBERAMIA, volume 10022 of Lecture Notes in Computer Science, page 175-186. (2016)CroNER: Recognizing Named Entities in Croatian Using Conditional Random Fields., , , , , , and . Informatica (Slovenia), 37 (2): 165-172 (2013)ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing., , and . ArgMining@EMNLP, page 22-28. Association for Computational Linguistics, (2018)Cross-lingual Semantic Specialization via Lexical Relation Induction., , , , and . EMNLP/IJCNLP (1), page 2206-2217. Association for Computational Linguistics, (2019)