8 citations · 16 across the 6 of their papers we have counts for
11 papers · 1 filter
STAGE: Tool for Automated Extraction of Semantic Time Cues to Enrich Neural Temporal Ordering Models
Luke Breitfeller, Aakanksha Naik, Carolyn Rose
Despite achieving state-of-the-art accuracy on temporal ordering of events, neural models showcase significant gaps in performance. Our work seeks to fill one of these gaps by leve…
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Sopan Khosla, James Fiacco, Carolyn Rose
Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features. SOTA models do not make…
Using Type Information to Improve Entity Coreference Resolution
Sopan Khosla, Carolyn Rose
Coreference resolution (CR) is an essential part of discourse analysis. Most recently, neural approaches have been proposed to improve over SOTA models from earlier paradigms. So f…
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rose
The notion of face refers to the public self-image of an individual that emerges both from the individual's own actions as well as from the interaction with others. Modeling face a…
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift
Aakanksha Naik, Jill Lehman, Carolyn Rose
We tackle the task of adapting event extractors to new domains without labeled data, by aligning the marginal distributions of source and target domains. As a testbed, we create tw…
A Machine Learning Framework for Authorship Identification From Texts
Rahul Radhakrishnan Iyer, Carolyn Penstein Rose
Authorship identification is a process in which the author of a text is identified. Most known literary texts can easily be attributed to a certain author because they are, for exa…