Large-Scale Paraphrasing for Natural Language Understanding
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Machine TranslationNatural Language InferenceNatural Language UnderstandingQuestion AnsweringSentence CompressionText GenerationSimilar Papers 제목 키워드 기반
Extracting and filtering paraphrases by bridging natural language inference and paraphrasing
Paraphrasing is a useful natural language processing task that can contribute to more diverse generated or translated texts. Natural language inference (NLI) and paraphrasing share some similarities and can benefit from …
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Negation is a common linguistic phenomenon. Yet language models face challenges with negation in many natural language understanding tasks such as question answering and natural language inference. In this paper, we expe…
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Paraphrasing, i.e., restating the same meaning in different ways, is an important data augmentation approach for natural language processing (NLP). Zhang et al. (2019b) propose to extract sentence-level paraphrases from …
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Multitask learning has led to significant advances in Natural Language Processing, including the decaNLP benchmark where question answering is used to frame 10 natural language understanding tasks in a single model. In t…
Natural Language UnderstandingParaphrase GenerationQuestion AnsweringSentenceSegment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing
We introduce Segment-Phrase Table (SPT), a large collection of bijective associations between textual phrases and their corresponding segmentations. Leveraging recent progress in object recognition and natural language s…
Natural Language UnderstandingObject RecognitionSemantic SegmentationVisual Entailment