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Improving Neural Topic Models using Knowledge Distillation.

, , and . EMNLP (1), page 1752-1771. Association for Computational Linguistics, (2020)

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Towards Automatic Generation of Questions from Long Answers., , , , , and . CoRR, (2020)Mainstream News Articles Co-Shared with Fake News Buttress Misinformation Narratives., , , and . CoRR, (2023)Studying word order through iterative shuffling., , , and . EMNLP (1), page 10351-10366. Association for Computational Linguistics, (2021)Are Neural Topic Models Broken?, , , and . EMNLP (Findings), page 5321-5344. Association for Computational Linguistics, (2022)Sarcasm Target Identification: Dataset and An Introductory Approach., , , and . LREC, European Language Resources Association (ELRA), (2018)Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis., , , , , , , and . EACL (1), page 840-859. Association for Computational Linguistics, (2024)Automatic Identification of Sarcasm Target: An Introductory Approach., , , and . CoRR, (2016)"I Think It Might Help If We Multiply, and Not Add": Detecting Indirectness in Conversation., , , and . IWSDS, volume 579 of Lecture Notes in Electrical Engineering, page 27-40. Springer, (2018)Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP., , , and . CoRR, (2023)GPT Perdetry Test: Generating new meanings for new words., , , , and . NAACL-HLT, page 5542-5553. Association for Computational Linguistics, (2021)