Source-side Prediction for Neural Headline Generation

Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui · arXiv.org · 2017

Summary

The experiments show that the proposed model outperforms the current state-of-the-art method in the headline generation task and has an ability to learn a reasonable token-wise correspondence without knowing any true alignments.

Type: preprint
Published: 2017-12-22
Cited by: 9
References: 25
Access: Open access
DOI: https://doi.org/10.48550/arxiv.1712.08302
arXiv: https://arxiv.org/abs/1712.08302
OpenAlex: https://openalex.org/W2778718264
Semantic Scholar: https://api.semanticscholar.org/CorpusID:23971423

Keywords

Headline, Computer science, Artificial intelligence, Advertising, Business

References

Neural Machine Translation of Rare Words with Subword UnitsRico Sennrich, Barry Haddow, Alexandra Birch — 2015
A Neural Attention Model for Abstractive Sentence SummarizationAlexander M. Rush, Sumit Chopra, Jason Weston — 2015
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Abstract Meaning Representation for SembankingLaura Banarescu, Claire Bonial, Shu Cai — 2013
Annotated GigawordCourtney Napoles, Matthew R. Gormley, Benjamin Van Durme — 2012
Abstractive Sentence Summarization with Attentive Recurrent Neural NetworksSumit Chopra, Michael Auli, Alexander M. Rush — 2016
Neural Headline Generation on Abstract Meaning RepresentationSho Takase, Jun Suzuki, Naoaki Okazaki — 2016
Selective Encoding for Abstractive Sentence SummarizationQingyu Zhou, Nan Yang, Furu Wei — 2017
Convolutional Sequence to Sequence LearningJonas Gehring, Michael Auli, David Grangier — 2017
Cutting-off Redundant Repeating Generations for Neural Abstractive SummarizationJun Suzuki, Masaaki Nagata — 2016
Deep Recurrent Generative Decoder for Abstractive Text SummarizationPiji Li, Wai Lam, Lidong Bing — 2017
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)Liang Huang, Kai Zhao, Mingbo Ma — 2017
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Online and Linear-Time Attention by Enforcing Monotonic AlignmentsColin Raffel, Minh-Thang Luong, Peter J. Liu — 2017
Modeling Coverage for Neural Machine TranslationZhaopeng Tu, Zhengdong Lu, Yang Liu — 2016
Neural Machine Translation with Word PredictionsRongxiang Weng, Shujian Huang, Zaixiang Zheng — 2017
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Cited by

Extractive Headline Generation Based on Learning to Rank for Community Question AnsweringTatsuru Higurashi, Hayato Kobayashi, Takeshi Masuyama — 2018
Direct Output Connection for a High-Rank Language ModelSho Takase, Jun Suzuki, Masaaki Nagata — 2018
Frustratingly Easy Model Ensemble for Abstractive SummarizationHayato Kobayashi — 2018
Character n-gram Embeddings to Improve RNN Language ModelsSho Takase, Jun Suzuki, Masaaki Nagata — 2019
Headline Generation: Learning from Decomposed Document TitlesOleg Vasilyev, Tom Grek, John Bohannon — 2019
A Case Study on Neural Headline Generation for Editing SupportKazuma Murao, Ken Kobayashi, Hayato Kobayashi — 2019
This Email Could Save Your Life: Introducing the Task of Email Subject Line GenerationRui Zhang, Joel Tetreault — 2019
Fill in the BLANC: Human-free quality estimation of document summariesOleg Vasilyev, Vedant Dharnidharka, John Bohannon — 2020
Multi-Task Learning for Cross-Lingual Abstractive SummarizationSho Takase, Naoaki Okazaki — 2020

Source-side Prediction for Neural Headline Generation

Summary

Keywords

References

Cited by

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