Nightmare at test time: How punctuation prevents parsers from generalizing

Nightmare at test time : How punctuation prevents parsers from generalizing

de Lhoneux, Miryam, 1990- (author): Uppsala universitet,Institutionen för lingvistik och filologi,Computational Linguistics

(creator_code:org_t)

Brussels : Association for Computational Linguistics, 2018
2018
English.
In: Proceedings of the 2018 EMNLP Workshop BlackboxNLP. - Brussels : Association for Computational Linguistics. ; , s. 25-29

Related links:: http://aclweb.org/an...; show more...; https://urn.kb.se/re...; show less...

Abstract Subject headings

Punctuation is a strong indicator of syntactic structure, and parsers trained on text with punctuation often rely heavily on this signal. Punctuation is a diversion, however, since human language processing does not rely on punctuation to the same extent, and in informal texts, we therefore often leave out punctuation. We also use punctuation ungrammatically for emphatic or creative purposes, or simply by mistake. We show that (a) dependency parsers are sensitive to both absence of punctuation and to alternative uses; (b) neural parsers tend to be more sensitive than vintage parsers; (c) training neural parsers without punctuation outperforms all out-of-the-box parsers across all scenarios where punctuation departs from standard punctuation. Our main experiments are on synthetically corrupted data to study the effect of punctuation in isolation and avoid potential confounds, but we also show effects on out-of-domain data.

By the author/editor: Søgaard, Anders; de Lhoneux, Miry ...; Augenstein, Isab ...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Language Technol ...

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