Add to ORKGProceedings of the Sixth International Workshop on Treebanks and Linguistic Theories. Editors: Koenraad De Smedt, Jan Hajič and Sandra Kübler. NEALT Proceedings Series, Vol. 1 (2007), 19-30. © 2007 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/4476
Annotating linguistic data is often a complex, time consuming and expensive endeavor. Even with stri...
We develop a method for detecting errors in semantic predicate-argument annotation, based on the var...
Detecting event mentions is the first step in event extraction from text and annotating them is a no...
Automatic inconsistency detection in parsed corpora is significantly helpful for building more and l...
This paper discusses an automatic, data-driven approach to treebank error detection. The approach ad...
Automatic inconsistency detection in parsed corpora is significantly helpful for building more and l...
This is the accompanying data for our paper "Annotation Error Detection: Analyzing the Past and Pres...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)In this paper, some results on the dete...
In this thesis, we investigate methods for automatic detection, and to some extent correction, of gr...
Detection and correction of errors and inconsistencies in “gold treebanks” are becoming more and mor...
International audienceIn this paper, we address the question of automatic annotation of English lear...
Corpus linguistic and language technological research needs empirical corpus data with nearly correc...
We describe the collection of transcription corrections and grammatical error annotations for the CR...
Statistical n-gram taggers like that of [Church 1988] or [Foster 1991] assign a part-of-speech label...
This paper describes a statistical approach to detect annotation errors in dependency treebanks. As ...
Annotating linguistic data is often a complex, time consuming and expensive endeavor. Even with stri...
We develop a method for detecting errors in semantic predicate-argument annotation, based on the var...
Detecting event mentions is the first step in event extraction from text and annotating them is a no...
Automatic inconsistency detection in parsed corpora is significantly helpful for building more and l...
This paper discusses an automatic, data-driven approach to treebank error detection. The approach ad...
Automatic inconsistency detection in parsed corpora is significantly helpful for building more and l...
This is the accompanying data for our paper "Annotation Error Detection: Analyzing the Past and Pres...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)In this paper, some results on the dete...
In this thesis, we investigate methods for automatic detection, and to some extent correction, of gr...
Detection and correction of errors and inconsistencies in “gold treebanks” are becoming more and mor...
International audienceIn this paper, we address the question of automatic annotation of English lear...
Corpus linguistic and language technological research needs empirical corpus data with nearly correc...
We describe the collection of transcription corrections and grammatical error annotations for the CR...
Statistical n-gram taggers like that of [Church 1988] or [Foster 1991] assign a part-of-speech label...
This paper describes a statistical approach to detect annotation errors in dependency treebanks. As ...
Annotating linguistic data is often a complex, time consuming and expensive endeavor. Even with stri...
We develop a method for detecting errors in semantic predicate-argument annotation, based on the var...
Detecting event mentions is the first step in event extraction from text and annotating them is a no...