The papers in this volume represent some of the most recent and exciting work being carried out both within the framework of Generative Lexicon and related approaches to the lexicon and lexical resources. With the recent emphasis in natural language processing on the development of machine learning algorithms, it has become even more important for computational linguists to work on the development of linguistically informed lexical resources, for use in the annotation of corpora and creation of gold standard data for training, as well as the collation of larger theoretical datasets for investigating linguistic phenomena in greater detail and sophistication. These works contribute to this trend as well as to the further development of the mechanisms within GL for describing and explaining semantic and lexical phenomena in language

Proceedings of the 6th International Conference on Generative Approaches to the Lexicon Generative Lexicon and Distributional Semantics

Monica Monachini;
2013

Abstract

The papers in this volume represent some of the most recent and exciting work being carried out both within the framework of Generative Lexicon and related approaches to the lexicon and lexical resources. With the recent emphasis in natural language processing on the development of machine learning algorithms, it has become even more important for computational linguists to work on the development of linguistically informed lexical resources, for use in the annotation of corpora and creation of gold standard data for training, as well as the collation of larger theoretical datasets for investigating linguistic phenomena in greater detail and sophistication. These works contribute to this trend as well as to the further development of the mechanisms within GL for describing and explaining semantic and lexical phenomena in language
2013
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
978-1-937284-98-5
Generative Lexicon
Language Resources
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/228630
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