Search Results for author: Oussama Elachqar

Found 4 papers, 1 papers with code

Contextual Text Style Transfer

no code implementations Findings of the Association for Computational Linguistics 2020 Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu

To realize high-quality style transfer with natural context preservation, we propose a Context-Aware Style Transfer (CAST) model, which uses two separate encoders for each input sentence and its surrounding context.

Sentence Style Transfer +2

INSET: Sentence Infilling with INter-SEntential Transformer

1 code implementation ACL 2020 Yichen Huang, Yizhe Zhang, Oussama Elachqar, Yu Cheng

Missing sentence generation (or sentence infilling) fosters a wide range of applications in natural language generation, such as document auto-completion and meeting note expansion.

Natural Language Understanding Sentence +1

Multilingual Whispers: Generating Paraphrases with Translation

no code implementations WS 2019 Christian Federmann, Oussama Elachqar, Chris Quirk

Naturally occurring paraphrase data, such as multiple news stories about the same event, is a useful but rare resource.

Machine Translation Translation

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