47 citations · 125 across the 23 of their papers we have counts for
16 papers · 1 filter
Conditional Generation of Temporally-ordered Event Sequences
Shih-Ting Lin, Nathanael Chambers, Greg Durrett
Models of narrative schema knowledge have proven useful for a range of event-related tasks, but they typically do not capture the temporal relationships between events. We propose…
Evaluating Factuality in Generation with Dependency-level Entailment
Tanya Goyal, Greg Durrett
Despite significant progress in text generation models, a serious limitation is their tendency to produce text that is factually inconsistent with information in the input. Recent…
Compressive Summarization with Plausibility and Salience Modeling
Shrey Desai, Jiacheng Xu, Greg Durrett
Compressive summarization systems typically rely on a crafted set of syntactic rules to determine what spans of possible summary sentences can be deleted, then learn a model of wha…
Understanding Neural Abstractive Summarization Models via Uncertainty
Jiacheng Xu, Shrey Desai, Greg Durrett
An advantage of seq2seq abstractive summarization models is that they generate text in a free-form manner, but this flexibility makes it difficult to interpret model behavior. In t…
Inquisitive Question Generation for High Level Text Comprehension
Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang +2
Inquisitive probing questions come naturally to humans in a variety of settings, but is a challenging task for automatic systems. One natural type of question to ask tries to fill…
Effective Distant Supervision for Temporal Relation Extraction
Xinyu Zhao, Shih-ting Lin, Greg Durrett
A principal barrier to training temporal relation extraction models in new domains is the lack of varied, high quality examples and the challenge of collecting more. We present a m…