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Communication Dans Un Congrès Année : 2017

Incremental Discontinuous Phrase Structure Parsing with the GAP Transition

Résumé

This article introduces a novel transition system for discontinuous lexicalized constituent parsing called SR-GAP. It is an extension of the shift-reduce algorithm with an additional gap transition. Evaluation on two German treebanks shows that SR-GAP outperforms the previous best transition-based discontinuous parser (Maier, 2015) by a large margin (it is notably twice as accurate on the prediction of discontinuous constituents), and is competitive with the state of the art (Fernández-González and Martins, 2015). As a side contribution, we adapt span features (Hall et al., 2014) to discontinuous parsing.
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Dates et versions

hal-01522315 , version 1 (14-05-2017)

Identifiants

  • HAL Id : hal-01522315 , version 1

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Maximin Coavoux, Benoît Crabbé. Incremental Discontinuous Phrase Structure Parsing with the GAP Transition. 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.1259--1270. ⟨hal-01522315⟩
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