Search Results for author: Carolyn Rosé

Found 7 papers, 2 papers with code

Model Transfer for Event tracking as Transcript Understanding for Videos of Small Group Interaction

no code implementations TU (COLING) 2022 Sumit Agarwal, Rosanna Vitiello, Carolyn Rosé

Videos of group interactions contain a wealth of information beyond the information directly communicated in a transcript of the discussion.

The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue

no code implementations COLING (CODI, CRAC) 2022 Juntao Yu, Sopan Khosla, Ramesh Manuvinakurike, Lori Levin, Vincent Ng, Massimo Poesio, Michael Strube, Carolyn Rosé

The CODI-CRAC 2022 Shared Task on Anaphora Resolution in Dialogues is the second edition of an initiative focused on detecting different types of anaphoric relations in conversations of different kinds.

Toward Automatic Discourse Parsing of Student Writing Motivated by Neural Interpretation

no code implementations NAACL (BEA) 2022 James Fiacco, Shiyan Jiang, David Adamson, Carolyn Rosé

In this paper we propose a state-of-the-art method for automated analysis of structure and flow of writing, referred to as Rhetorical Structure Theory (RST) parsing.

Discourse Parsing

FanfictionNLP: A Text Processing Pipeline for Fanfiction

1 code implementation NAACL (NUSE) 2021 Michael Yoder, Sopan Khosla, Qinlan Shen, Aakanksha Naik, Huiming Jin, Hariharan Muralidharan, Carolyn Rosé

The pipeline includes modules for character identification and coreference, as well as the attribution of quotes and narration to those characters.

Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research

no code implementations NAACL 2021 Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé, Harry Hochheiser

Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings.

Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation

1 code implementation ACL 2020 Aakanksha Naik, Carolyn Rosé

We tackle the task of building supervised event trigger identification models which can generalize better across domains.

Domain Adaptation

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