Neural Headline Generation with Sentence-wise Optimization

By Ayana, Shiqi Shen, Yu Zhao, Zhiyuan Liu, Maosong Sun. 2016

41 citations recorded by the source corpus.

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In Natural Language Processing

Citations in the corpus

Convolutional Sequence to Sequence Learning (2017, methodology): “Similar to Shen et al. (2016) we use a source and target vocabulary of 30K words and require outputs to be at least 14 words long.”
Minimum Risk Training for Neural Machine Translation (2015, methodology): “More recently, our approach has been successfully applied to summarization (Ayana et al., 2016).”
Classical Structured Prediction Losses for Sequence to Sequence Learning (2017, methodology): “So far we generated candidates with beam search, however, we may also sample to obtain a more diverse set of candidates (Shen et al., 2016 (Ayana et al., 2016), WFE (Suzuki and Nagata, 2017), SEASS (Zhou et al., 2017), DRGD (Li et al., 2017). ong et al., 2015).”
Towards Explainable NLP: A Generative Explanation Framework for Text Classification (2018, background): “Minimum risk training (MRT) aims to minimize the expected loss, i.e., risk over the training data (Ayana et al., 2016).”
On the Weaknesses of Reinforcement Learning for Neural Machine Translation (2019, methodology): “CMRT was proposed by Och (2003), adapted to NMT by Shen et al. (2016), and often used since (Ayana et al., 2016; Neubig, 2016; Shen et al., 2017; Edunov et al., 2018; Makarov and Clematide, 2018; Neubig et al., 2018).”
Fill in the BLANC: Human-free quality estimation of document summaries (2020, background): “It is notable that ROUGE scores are often cited even as applied to automated headline generation [29, 30, 31, 32] where it is hard to imagine that any single headline could be conﬁdently regarded as the best possible headline for a document.”
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention (2019, background): “…such as using rich linguistic features and large vocabulary set (Nallapati et al., 2016), global training procedures on the sentence level (Ayana et al., 2016; Li et al., 2018; Edunov et al., 2018; Wang et al., 2018), topic enhancement in the summaries (Wang et al., 2018), additional…”