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Thread-Level Information for Comment Classification in Community Question Answering.

, , , , , , and . ACL (2), page 687-693. The Association for Computer Linguistics, (2015)

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Effective and scalable kernel-based language learning via stratified Nyström methods., , and . Intelligenza Artificiale, 11 (2): 93-116 (2017)Learning pairwise patterns in Community Question Answering., and . Intelligenza Artificiale, 12 (2): 49-65 (2018)On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments., , , and . SIGIR, page 1209-1212. ACM, (2017)Making sense of kernel spaces in neural learning., , and . Comput. Speech Lang., (2019)Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks., , , , and . CoRR, (2023)Voice-based Reformulation of Community Answers., , and . WWW, page 2885-2891. ACM / IW3C2, (2020)KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers., , , and . SemEval@NAACL-HLT, page 1116-1123. The Association for Computer Linguistics, (2016)Nyström Methods for Efficient Kernel-Based Methods for Community Question Answering., , and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Global Thread-Level Inference for Comment Classification in Community Question Answering., , , , , , and . CoRR, (2019)On the Impact of Linguistic Information in Kernel-Based Deep Architectures., , and . AI*IA, volume 10640 of Lecture Notes in Computer Science, page 359-371. Springer, (2017)