Нейрондық парсер

method ID: neuralparser

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Publication: TIPSTER (2016)

DOI: nan

Semantic dependency parsing aims at ex- tracting arcs and semantic role labels for all words in a sentence. In this paper, we propose a semantic dependency parser which is based …...

22398

Surface Statistics of an Unknown Language Indicate How to Parse It

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWe introduce a novel framework for delexicalized dependency parsing in a new language. We show that useful features of the target language can be extracted automatically from an unparsed corpus, …...

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Parsing Chinese Sentences with Grammatical Relations

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Publication: TIPSTER (2019)

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AbstractWe report our work on building linguistic resources and data-driven parsers in the grammatical relation (GR) analysis for Mandarin Chinese. Chinese, as an analytic language, encodes grammatical information in a …...

41429

Parsers Know Best: German PP Attachment Revisited

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn the paper, we revisit the PP attachment problem which has been identified as one of the major sources for parser errors and discuss shortcomings of recent work. In particular, …...

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Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification

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Publication: TIPSTER (2022)

DOI: nan

AbstractPre-trained seq2seq models excel at graph semantic parsing with rich annotated data, but generalize worse to out-of-distribution (OOD) and long-tail examples. In comparison, symbolic parsers under-perform on population-level metrics, but …...

30959