Fast Exact Inference with a Factored Model for Natural Language Parsing

NeurIPS 2002 pp. 3-10

/neurips/2002/klein2002neurips-fast/

Abstract

We present a novel generative model for natural language tree structures in which semantic (lexical dependency) and syntactic (PCFG) structures are scored with separate models. This factorization provides concep- tual simplicity, straightforward opportunities for separately improving the component models, and a level of performance comparable to simi- lar, non-factored models. Most importantly, unlike other modern parsing models, the factored model admits an extremely effective A* parsing al- gorithm, which enables efﬁcient, exact inference.

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Text

Klein and Manning. "Fast Exact Inference with a Factored Model for Natural Language Parsing." Neural Information Processing Systems, 2002.

Markdown

[Klein and Manning. "Fast Exact Inference with a Factored Model for Natural Language Parsing." Neural Information Processing Systems, 2002.](https://mlanthology.org/neurips/2002/klein2002neurips-fast/)

BibTeX

@inproceedings{klein2002neurips-fast,
  title     = {{Fast Exact Inference with a Factored Model for Natural Language Parsing}},
  author    = {Klein, Dan and Manning, Christopher D.},
  booktitle = {Neural Information Processing Systems},
  year      = {2002},
  pages     = {3-10},
  url       = {https://mlanthology.org/neurips/2002/klein2002neurips-fast/}
}