Computational dependency theory. Selected papers from the international conference on dependency linguistics (Depling 2011), Barcelona, Spain, September 5--7, 2011 (Q2869821)
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scientific article; zbMATH DE number 6243078
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Computational dependency theory. Selected papers from the international conference on dependency linguistics (Depling 2011), Barcelona, Spain, September 5--7, 2011 |
scientific article; zbMATH DE number 6243078 |
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7 January 2014
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computational linguistics
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dependency theory
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dependency grammars
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syntactic structures
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dependency parsing
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Computational dependency theory. Selected papers from the international conference on dependency linguistics (Depling 2011), Barcelona, Spain, September 5--7, 2011 (English)
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This book includes full versions of thirteen selected papers presented at the international conference on dependency linguistics 2011 held in Barcelona. These works have major importance in emphasizing the progress of dependency theory in computational linguistics.NEWLINENEWLINEIn the first chapter, \textit{Kim Gerdes} and \textit{Sylvain Kahane} give the formal definition of dependency to describe the syntactic structures of sentences for making discourse analysis of texts and morphological analysis of words.NEWLINENEWLINEIn the following two chapters, the role of dependencies is emphasized on corpus annotation. \textit{Alicia Burga}, \textit{Simon Mille} and \textit{Leo Wanner} show how one can use the formal definition of Surface-Syntactic Structure to construct an annotated corpus for Spanish. \textit{Katri Haverinen} et al. investigate syntax annotation errors using a dependency-based framework in a treebank.NEWLINENEWLINE\textit{Michael Hahn} and \textit{Detmar Meurers} develop a system that extracts semantic representations of sentences transformed from dependency structures on a sub-corpus of reading comprehension exercises in German.NEWLINENEWLINE\textit{Xinying Chen} affirms that the probabilistic valence patterns can easily define the semantics of data of dependency syntactic networks. Also, the author concludes that the valence patterns can be affected by language style.NEWLINENEWLINE\textit{Bernd Bohnet}, \textit{Simon Mille} and \textit{Leo Wanner} claim that a language-independent stochastic semantic sentence realizer can be generated from semantic graphs.NEWLINENEWLINENEWLINEThe work of \textit{Federico Gobbo} and \textit{Marco Benini} suggests a mechanism to express natural language grammars by means of a constructive mathematical formalism from structural syntax.NEWLINENEWLINE\textit{Alexander Dikovsky} introduces a structural bootstrapping method to extend categorical dependency grammars and dependency treebanks from samples of dependency structures. In parallel with this study, \textit{Denis Béchet}, \textit{Alexander Dikovsky} and \textit{Ophélie Lacroix} present an integrated development tool to construct treebanks and dependency grammars which is capable to generate dependency structures and to analyze them.NEWLINENEWLINEThe last four works in the book are related to dependency parsers. \textit{Bernd Bohnet} proposes to use a transition-based dependency parser with a discriminative training rather than to use graph-based parsers. \textit{Niels Beuck}, \textit{Arne Köhn} and \textit{Wolfgang Menzel} propose a definition of partial dependency analyses for an incomplete sentence prefix using two different dependency parsers. \textit{Julia Krivanek} and \textit{Detmar Meurers} investigate the rule-based and data-driven dependency parsing approaches, and they highlight the strengths of them. Finally, in the work of \textit{Igor Boguslavsky} et al., a rule-based parser is proposed that generates a dependency tree from a morphological structure of a sentence.
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0.7431321144104004
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