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Identifying User Issues and Request Types in Forum Question Posts Based on Discourse Analysis.

, , , and . WWW (Companion Volume), page 685-691. ACM, (2016)

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Analysis of the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity., , and . AI*IA, volume 10037 of Lecture Notes in Computer Science, page 450-463. Springer, (2016)Learning the Impact and Behavior of Syntactic Structure: A Case Study in Semantic Textual Similarity., and . RANLP, page 688-696. RANLP 2015 Organising Committee / ACL, (2015)Tackling Temporal Questions in Natural Language Interface to Databases., , , and . EMNLP (Industry Track), page 179-187. Association for Computational Linguistics, (2022)A Multi-Layer System for Semantic Textual Similarity., and . KDIR, page 56-67. SciTePress, (2016)A Large Resource of Patterns for Verbal Paraphrases., , and . LREC, European Language Resources Association (ELRA), (2018)FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter., , and . SemEval@NAACL-HLT, page 29-33. The Association for Computer Linguistics, (2015)Paraphrase Identification and Semantic Similarity in Twitter with Simple Features., , and . SocialNLP@NAACL, page 10-19. Association for Computational Linguistics, (2015)Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual Entailment., and . LREC, European Language Resources Association (ELRA), (2016)Domain Adaptation of a State of the Art Text-to-SQL Model: Lessons Learned and Challenges Found., , , and . CoRR, (2023)FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE., , and . SemEval@COLING, page 289-293. The Association for Computer Linguistics, (2014)