8 citations · 33 across the 18 of their papers we have counts for
4 papers · 1 filter
What's Hard in English RST Parsing? Predictive Models for Error Analysis
Yang Janet Liu, Tatsuya Aoyama, Amir Zeldes
Despite recent advances in Natural Language Processing (NLP), hierarchical discourse parsing in the framework of Rhetorical Structure Theory remains challenging, and our understand…
GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization
Yang Janet Liu, Amir Zeldes
Automatic summarization with pre-trained language models has led to impressively fluent results, but is prone to 'hallucinations', low performance on non-news genres, and outputs w…
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
Tatsuya Aoyama, Shabnam Behzad, Luke Gessler +6
We present GENTLE, a new mixed-genre English challenge corpus totaling 17K tokens and consisting of 8 unusual text types for out-of domain evaluation: dictionary entries, esports c…
Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
Yang Janet Liu, Amir Zeldes
Recent advances in discourse parsing performance create the impression that, as in other NLP tasks, performance for high-resource languages such as English is finally becoming reli…