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arXiv · 1908.03480

Artificially Evolved Chunks for Morphosyntactic Analysis

Mark Anderson·David Vilares·Carlos Gómez-Rodríguez
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Abstract

We introduce a language-agnostic evolutionary technique for automatically extracting chunks from dependency treebanks. We evaluate these chunks on a number of morphosyntactic tasks, namely POS tagging, morphological feature tagging, and dependency parsing. We test the utility of these chunks in a host of different ways. We first learn chunking as one task in a shared multi-task framework together with POS and morphological feature tagging. The predictions from this network are then used as input to augment sequence-labelling dependency parsing. Finally, we investigate the impact chunks have on dependency parsing in a multi-task framework. Our results from these analyses show that these chunks improve performance at different levels of syntactic abstraction on English UD treebanks and a small, diverse subset of non-English UD treebanks.

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Mark Anderson, David Vilares, Carlos Gómez-Rodríguez. 2019-08-09. Artificially Evolved Chunks for Morphosyntactic Analysis. https://arxiv.org/abs/1908.03480

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