Results 61 to 70 of about 9,135 (197)
Generalizing Cross-Document Event Coreference Resolution Across Multiple Corpora
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
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]
Accepted to NAACL-HLT ...
Rudinger, Rachel +3 more
openaire +2 more sources
The Shallow Structure Hypothesis and Sentence Processing in a Second Language
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
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
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
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
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]
Kayo Yin +2 more
openaire +1 more source
Correlates of Object Raising in Mayan
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

