Nightmare at test time: How punctuation prevents parsers from generalizing
August 31, 2018 ยท Declared Dead ยท ๐ BlackboxNLP@EMNLP
"No code URL or promise found in abstract"
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Authors
Anders Sรธgaard, Miryam de Lhoneux, Isabelle Augenstein
arXiv ID
1809.00070
Category
cs.CL: Computation & Language
Citations
9
Venue
BlackboxNLP@EMNLP
Last Checked
5 months ago
Abstract
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.
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