1 code implementation • NAACL (ACL) 2022 • Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, Heng Ji
We introduce RESIN-11, a new schema-guided event extraction&prediction framework that can be applied to a large variety of newsworthy scenarios.
no code implementations • DMR (COLING) 2020 • Pavlina Kalm, Michael Regan, Sook-kyung Lee, Chris Peverada, William Croft
This paper introduces a representation and annotation scheme for argument structure constructions that are used metaphorically with verbs in different semantic domains.
1 code implementation • 25 Mar 2024 • Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge, Michael Regan, Kristin Wright-Bettner, Martha Palmer, James H. Martin
We then linearize the ECR with a novel multi-hop coreference algorithm over the event graphs.
1 code implementation • 6 Jun 2023 • Shafiuddin Rehan Ahmed, Abhijnan Nath, Michael Regan, Adam Pollins, Nikhil Krishnaswamy, James H. Martin
Annotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency.
1 code implementation • 27 Mar 2023 • Michael Regan, Jena D. Hwang, Keisuke Sakaguchi, James Pustejovsky
In this work, we investigate how to apply schema induction models to the task of knowledge discovery for enhanced search of English-language news texts.
no code implementations • WS 2019 • William Baumgartner, Michael Bada, Sampo Pyysalo, Manuel R. Ciosici, Negacy Hailu, Harrison Pielke-Lombardo, Michael Regan, Lawrence Hunter
As part of the BioNLP Open Shared Tasks 2019, the CRAFT Shared Tasks 2019 provides a platform to gauge the state of the art for three fundamental language processing tasks {---} dependency parse construction, coreference resolution, and ontology concept identification {---} over full-text biomedical articles.
no code implementations • WS 2019 • Jens E. L. Van Gysel, Meagan Vigus, Pavlina Kalm, Sook-kyung Lee, Michael Regan, William Croft
Developers of cross-linguistic semantic annotation schemes face a number of issues not encountered in monolingual annotation.
no code implementations • WS 2019 • Pavlina Kalm, Michael Regan, William Croft
This paper proposes a novel representation of event structure by separating verbal semantics and the meaning of argument structure constructions that verbs occur in.
1 code implementation • 28 Mar 2019 • Michael Regan, Pushpendre Rastogi, Arpit Gupta, Lambert Mathias
In this paper, we describe our methodology for creating the query reformulation extension to the dialog corpus, and present an initial set of experiments to establish a baseline for the CQR task.
no code implementations • COLING 2018 • William Croft, Pavl{\'\i}na Pe{\v{s}}kov{\'a}, Michael Regan, Sook-kyung Lee
We present a rich annotation scheme for the structure of mental events.
no code implementations • COLING 2018 • Lucia Donatelli, Michael Regan, William Croft, Nathan Schneider
Although English grammar encodes a number of semantic contrasts with tense and aspect marking, these semantics are currently ignored by Abstract Meaning Representation (AMR) annotations.
no code implementations • COLING 2018 • Tim O{'}Gorman, Michael Regan, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Martha Palmer
There are few corpora that endeavor to represent the semantic content of entire documents.
no code implementations • WS 2017 • William Croft, Pavl{\'\i}na Pe{\v{s}}kov{\'a}, Michael Regan
Storyline research links together events in stories and specifies shared participants in those stories.