ML Anthology

Open Information Extraction: The Second Generation

Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, Mausam
IJCAI 2011 pp. 3-10
doi:10.5591/978-1-57735-516-8/IJCAI11-012 /ijcai/2011/etzioni2011ijcai-open/

Abstract

How do we scale information extraction to the massive size and unprecedented heterogeneity of the Web corpus? Beginning in 2003, our KnowItAll project has sought to extract high-quality knowledge from the Web. In 2007, we introduced the Open Information Extraction (Open IE) paradigm which eschews handlabeled training examples, and avoids domain-specific verbs and nouns, to develop unlexicalized, domain-independent extractors that scale to the Web corpus. Open IE systems have extracted billions of assertions as the basis for both common-sense knowledge and novel question-answering systems. This paper describes the second generation of Open IE systems, which rely on a novel model of how relations and their arguments are expressed in English sentences to double precision/recall compared with previous systems such as TEXTRUNNER and WOE.

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Text

Etzioni et al. "Open Information Extraction: The Second Generation." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-012

Markdown

[Etzioni et al. "Open Information Extraction: The Second Generation." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/etzioni2011ijcai-open/) doi:10.5591/978-1-57735-516-8/IJCAI11-012

BibTeX

@inproceedings{etzioni2011ijcai-open,
  title     = {{Open Information Extraction: The Second Generation}},
  author    = {Etzioni, Oren and Fader, Anthony and Christensen, Janara and Soderland, Stephen and Mausam, },
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {3-10},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-012},
  url       = {https://mlanthology.org/ijcai/2011/etzioni2011ijcai-open/}
}