Search Results for author: Michael Regan

Found 10 papers, 1 papers with code

Representing constructional metaphors

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.

CRAFT Shared Tasks 2019 Overview --- Integrated Structure, Semantics, and Coreference

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.

Coreference Resolution Dependency Parsing +1

Event Structure Representation: Between Verbs and Argument Structure Constructions

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.

A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)

1 code implementation28 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.

Spoken Dialogue Systems Spoken Language Understanding

Annotation of Tense and Aspect Semantics for Sentential AMR

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.

Entity Typing

Integrating Decompositional Event Structures into Storylines

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.

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