19 citations · 40 across the 4 of their papers we have counts for
4 papers
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information
Lisa Fan, Dong Yu, Lu Wang
Sequence-to-sequence (seq2seq) neural models have been actively investigated for abstractive summarization. Nevertheless, existing neural abstractive systems frequently generate fa…
Semi-Supervised Learning for Neural Keyphrase Generation
Hai Ye, Lu Wang
We study the problem of generating keyphrases that summarize the key points for a given document. While sequence-to-sequence (seq2seq) models have achieved remarkable performance o…
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Xinyu Hua, Lu Wang
We study the problem of domain adaptation for neural abstractive summarization. We make initial efforts in investigating what information can be transferred to a new domain. Experi…
Joint Modeling of Content and Discourse Relations in Dialogues
Kechen Qin, Lu Wang, Joseph Kim
We present a joint modeling approach to identify salient discussion points in spoken meetings as well as to label the discourse relations between speaker turns. A variation of our…