Cited by 806Natural Language Processing TechniquesTopic ModelingSemantic Web and Ontologies

OntoNotes: the 90% solution

Open access
Hovy, Eduard, Marcus, Mitchell, Palmer, Martha, Ramshaw, Lance, Weischedel, Ralph·2006·Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX - NAACL '06

Abstract

We describe the OntoNotes methodology and its result, a large multilingual richly-annotated corpus constructed at 90% interannotator agreement. An initial portion (300K words of English newswire and 250K words of Chinese newswire) will be made available to the community during 2007.

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Registry

Crossref · 10.3115/1614049.1614064

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  • Much of the broader sequence labeling datasets that are publicly available to NLP researchers focus on the task of Named Entity Recognition (NER).

    “Much of the broader sequence labeling datasets that are publicly available to NLP researchers focus on the task of Named Entity Recognition (NER).”

    From QueryNER: Segmentation of E-commerce Queries (2024) · cites this paper as Hovy et al. 2006

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Authors
Hovy, E., Marcus, M., Palmer, M., Ramshaw, L., & Weischedel, R.
Affiliations
  • University of Southern California (US)
  • University of Pennsylvania (US)
  • University of Colorado Boulder (US)
Venue
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers on XX - NAACL '06
Published
2006
Pages
57-60
OpenAlex
W2088911157
Cited by
806
References
0
Citations by year
2026: 11 · 2025: 16 · 2024: 15 · 2023: 18 · 2022: 25 · 2021: 67 · 2020: 60 · 2019: 36 · 2018: 49 · 2017: 44 · 2016: 68 · 2015: 69 · 2014: 51 · 2013: 51 · 2012: 45
FWCI
23.70
Type
conference paper
Language
en
Open access
Locations
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (publishedVersion)
Funders
  • Defense Advanced Research Projects Agency (HR0011-06-C-0022)
  • Advanced Research Projects Agency
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
  • Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
Keywords
OntoNotes, multilingual corpora, inter-annotator agreement

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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