D.N.S. Bhat · 2007
Abstract This chapter differentiates between logophoric and anaphoric pronouns by showing that the former is used to denote non-coreference between reported and reporting speech roles, whereas the latter is used to denote coreference between two linguistic expressions. The former occurs among personal pronouns, the latter among proforms. The chapter also shows that reflexive, reciprocal, switch-reference and modal devices differ from the above two in being predicative (affecting the meaning of the predicate) rather than nominal.
Cited by 0
Americanae (AECID Library)
Cited by 0
Muskens, R.A., Brown, K., Miller, J. · Data Archiving and Networked Services (DANS) · 1999
Cited by 0
Data Archiving and Networked Services (DANS)
Cited by 0Open access
The COCOON platform (University of Paris)
Cited by 0
Muskens, Reinhard · PhilPapers (PhilPapers Foundation) · 1993
Cited by 0Open access
Muskens, R.A., Asher, R.E., Simpson, J.M.Y. · Data Archiving and Networked Services (DANS) · 1994
Cited by 0
Muskens, Reinhard · PhilPapers (PhilPapers Foundation) · 1993
Cited by 0
Hans Ole Hatzel, Chris Biemann · Elsevier eBooks · 2026
Cited by 0
The MIT Press eBooks · 2012
Cited by 0
Browne, Mitchell · PARADISEC · 2019
Cited by 0Open access
Oxford University Press eBooks · 2024
Cited by 0
François Récanati · Topoi · 2019
Cited by 7Open access
Wiesemann, Ursula · The COCOON platform (University of Paris) · 1986
https://www.sil.org/resources/archives/1866
Cited by 0
Peter Schüller, Kübra Cingilli, Ferit Tunçer et al. · arXiv (Cornell University) · 2017
We describe the Marmara Turkish Coreference Corpus, which is an annotation of the whole METU-Sabanci Turkish Treebank with mentions and coreference chains. Collecting eight or more independent annotations for each document allowed for fully automatic adjudication. We provide a baseline system for Turkish mention detection and coreference resolution and evaluate it on the corpus.
Cited by 5Open access
Svetlana Toldova, Yulia Grishina, Alina Ladygina et al. · Dialnet (Universidad de la Rioja) · 2016
Cited by 3
Kutsch Lojenga, Constance · The COCOON platform (University of Paris) · 2007
https://www.sil.org/resources/archives/89343
Cited by 0
Bouma, Gosse, Daelemans, Walter, Verschelde, Jean-Luc · Lindat/Clarin Repository (Lindat Clarin) · 2008
The COREA Coreference Corpus consists of texts in which the coreference relations were systematically marked. The texts contain approximately 150.000 tokens and they come from the Spoken Dutch Corpus (39.446 tokens), the STEVIN corpus D-Coi (35.166 tokens) and the Winkler Prins Medische Encyclopedie (74.445 tokens). \nOrganisations involved in the building of the COREA Coreference Corpus: Alfa-informatica, University of Groningen; CNTS, University of Antwerp and Language and Computing NV, Merelbeke
Cited by 0
Michael Bugert, Nils Reimers, Shany Barhom et al. · 2020
This script generates the Football Coreference Corpus (FCC), as introduced in the paper Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution by Bugert et al. 2020.
Cross-document event coreference resolution (CDCR) is the task of detecting and clustering mentions of events across a set of documents.
A major bottleneck in CDCR is a lack of appropriate datasets, which stems from the difficulty of annotating data for this task.
We present the first scalable approach for annotating cross-subtopic event coreference links, a highly valuable but rarely occurring type of cross-document link. The annotation of these links requires combing through hundreds of documents - an endeavor for which conventional token-level annotation schemes with trained expert annotators are too expensive.
We instead propose crowdsourcing annotation on sentence level to achieve scalability. We apply our approach to create the Football Coreference Corpus (FCC), a corpus of 451 sports news reports, while reaching high agreement between NLP experts and crowd annotators in the process.
Cited by 0
Judith Aissen · 1982
Cited by 3