António Branco Libros

InhaltsverzeichnisHuman Processing and Performance.Nuclear Accent Placement and Other Prosodic Parameters as Cues to Pronoun Resolution.Empirically Assessing Effects of the Right Frontier Constraint.Pronoun Resolution and the Influence of Syntactic and Semantic Information on Discourse Prominence.Language Analysis and Representation.Anaphora Resolution as Equality by Default.Null Subjects Are Reflexives, Not Pronouns.Using Very Large Parsed Corpora and Judgment Data to Classify Verb Reflexivity.An Empirical Investigation of the Relation Between Coreference and Quotations: Can a Pronoun Located in Quotations Find Its Referent?.Resolution Methodology and Algorithms.Applying Backpropagation Networks to Anaphor Resolution.Improving Coreference Resolution Using Bridging Reference Resolution and Automatically Acquired Synonyms.Evaluating Hybrid Versus Data-Driven Coreference Resolution.Computational Systems and Applications.Automatic Anaphora Resolution for Norwegian (ARN).“Who Are We Talking About?” Tracking the Referent in a Question Answering Series.Anaphora Resolution: To What Extent Does It Help NLP Applications?.

This white paper is part of a series promoting knowledge about language technology and its potential, targeting educators, journalists, politicians, and language communities. The availability and application of language technology in Europe differ across languages, necessitating tailored actions to support research and development for each language. These actions depend on factors like language complexity and community size. META-NET, a Network of Excellence funded by the European Commission, has analyzed current language resources and technologies, focusing on the 23 official European languages and other significant national and regional languages. The findings reveal substantial research gaps for each language. A thorough expert analysis will help maximize the impact of further research while minimizing risks. META-NET comprises 54 research centers from 33 countries collaborating with stakeholders from various sectors, including commercial businesses, government agencies, and universities. Together, they aim to establish a unified technology vision and develop a strategic research agenda that addresses existing research gaps in language technology applications by 2020.