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[2022-09-07] 오늘의 자연어처리 Unsupervised Simplification of Legal Texts The processing of legal texts has been developing as an emerging field in natural language processing (NLP). Legal texts contain unique jargon and complex linguistic attributes in vocabulary, semantics, syntax, and morphology. Therefore, the development of text simplification (TS) methods specific to the legal domain is of paramount importance for facil.. 2022. 9. 7.
[2022-09-06] 오늘의 자연어처리 Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization In this paper, we propose to leverage the unique characteristics of dialogues sharing commonsense knowledge across participants, to resolve the difficulties in summarizing them. We present SICK, a framework that uses commonsense inferences as additional context. Compared to previous work that solely relies on th.. 2022. 9. 6.
[2022-09-05] 오늘의 자연어처리 "More Than Words": Linking Music Preferences and Moral Values Through Lyrics This study explores the association between music preferences and moral values by applying text analysis techniques to lyrics. Harvesting data from a Facebook-hosted application, we align psychometric scores of 1,386 users to lyrics from the top 5 songs of their preferred music artists as emerged from Facebook Page Like.. 2022. 9. 5.
[2022-09-05] 오늘의 자연어처리 Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach Continual relation extraction (CRE) requires the model to continually learn new relations from class-incremental data streams. In this paper, we propose a Frustratingly easy but Effective Approach (FEA) method with two learning stages for CRE: 1) Fast Adaption (FA) warm.. 2022. 9. 5.
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