Results 61 to 70 of about 9,135 (197)

Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora

open access: yesComputational Linguistics, 2021
Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of events need to be identified and clustered throughout a collection of documents.
Michael Bugert   +2 more
doaj   +1 more source

Identity and Granularity of Events in Text

open access: yes, 2017
In this paper we describe a method to detect event descrip- tions in different news articles and to model the semantics of events and their components using RDF representations.
Cybulska, Agata, Vossen, Piek
core   +2 more sources

Gender Bias in Coreference Resolution [PDF]

open access: yesProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), 2018
Accepted to NAACL-HLT ...
Rudinger, Rachel   +3 more
openaire   +2 more sources

The Shallow Structure Hypothesis and Sentence Processing in a Second Language

open access: yesLanguage and Linguistics Compass, Volume 20, Issue 1, January/February 2026.
ABSTRACT The Shallow Structure Hypothesis (SSH) has been highly influential in the study of adult second language (L2) acquisition. With respect to L2 sentence processing, the essential claim is that L2 speakers rely less on syntactic information and more on alternative sources of information (e.g., lexical semantics and discourse) than adult first ...
Kyle Swanson, A. Kate Miller
wiley   +1 more source

Graph-Based Bootstrapping for Coreference Resolution

open access: yesJournal of Intelligent Systems, 2014
Coreference resolution is a challenging natural language processing task, and it is difficult to identify the correct mentions of an entity that can be any noun or noun phrase.
Balaji J., Geetha T.V., Ranjani P.
doaj   +1 more source

Truth‐Value Judgment Tasks in Second Language Research

open access: yesLanguage and Linguistics Compass, Volume 19, Issue 5, September/October 2025.
ABSTRACT This paper provides a focused review of truth‐value judgment tasks (TVJTs) as a method for eliciting interpretations in adult second language learners. We present the historical perspectives, the rationale for their use, the nature of the knowledge they target, and critical design considerations. Additionally, we discuss their effectiveness in
Shaohua Fang, Elaine J. Francis
wiley   +1 more source

A Semiautomated Approach for Detecting Ambiguities in Software Requirements Using SpanBERT and Named Entity Recognition

open access: yesJournal of Software: Evolution and Process, Volume 37, Issue 8, August 2025.
This study detects ambiguities in functional requirements. Preprocessing extracts tokens and applies NLP tasks. SpanBERT handles anaphoric ambiguity, while NER (Named Entity Ruler) and pattern matching identify coordination ambiguity and missing conditions.
Fiza Talha, Touseef Tahir, Talha Nadeem
wiley   +1 more source

Simple and effective neural coreference resolution for Korean language

open access: yesETRI Journal, 2021
We propose an end‐to‐end neural coreference resolution for the Korean language that uses an attention mechanism to point to the same entity. Because Korean is a head‐final language, we focused on a method that uses a pointer network based on the head ...
Cheoneum Park   +4 more
doaj   +1 more source

Signed Coreference Resolution [PDF]

open access: yesProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Kayo Yin   +2 more
openaire   +1 more source

Correlates of Object Raising in Mayan

open access: yesLanguage and Linguistics Compass, Volume 19, Issue 4, July/August 2025.
ABSTRACT Mayan languages show variation in the morphosyntactic distribution of absolutive objects. A now commonly‐adopted analysis ties this variation to differences in object movement and agreement. In so‐called ‘high‐absolutive’ languages, objects consistently raise to a position above the ergative subject, where they are targeted for ϕ $\phi $‐Agree
Justin Royer, Jessica Coon
wiley   +1 more source

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