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Pre-train or Annotate? Domain Adaptation with a Constrained Budget ...
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BiSECT: Learning to Split and Rephrase Sentences with Bitexts ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.500/ Abstract: An important task in NLP applications such as sentence simplification is the ability to take a long, complex sentence and split it into shorter sentences, rephrasing as necessary. We introduce a novel dataset and a new model for this `split and rephrase' task. Our BiSECT training data consists of 1 million long English sentences paired with shorter, meaning-equivalent English sentences. We obtain these by extracting 1-2 sentence alignments in bilingual parallel corpora and then using machine translation to convert both sides of the corpus into the same language. BiSECT contains higher quality training examples than previous Split and Rephrase corpora, with sentence splits that require more significant modifications. We categorize examples in our corpus, and use these categories in a novel model that allows us to target specific regions of the input sentence to be split and edited. Moreover, we show that models trained on BiSECT can ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
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URL: https://underline.io/lecture/37931-bisect-learning-to-split-and-rephrase-sentences-with-bitexts
https://dx.doi.org/10.48448/98n6-k286
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Controllable Text Simplification with Explicit Paraphrasing ...
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