4 papers
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal, Greg Durrett
Recent pre-trained abstractive summarization systems have started to achieve credible performance, but a major barrier to their use in practice is their propensity to output summar…
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…
Neural Syntactic Preordering for Controlled Paraphrase Generation
Tanya Goyal, Greg Durrett
Paraphrasing natural language sentences is a multifaceted process: it might involve replacing individual words or short phrases, local rearrangement of content, or high-level restr…
Embedding time expressions for deep temporal ordering models
Tanya Goyal, Greg Durrett
Data-driven models have demonstrated state-of-the-art performance in inferring the temporal ordering of events in text. However, these models often overlook explicit temporal signa…