The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Automatic construction of a hypernym-labeled noun hierarchy from text
Open accessAbstract
Previous work has shown that automatic methods can be used in building semantic lexicons. This work goes a step further by automatically creating not just clusters of related words, but a hierarchy of nouns and their hypernyms, akin to the hand-built hierarchy in WordNet.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
WordNet: An Electronic Lexical Database
Kilgarriff, A., & Fellbaum, C. (2000) · Language · doi:10.2307/417141 · Cited by 11,464
Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Automatic acquisition of hyponyms from large text corpora
Hearst, M. A. (1992) · Proceedings of the 14th conference on Computational linguistics - · doi:10.3115/992133.992154 · Cited by 3,253
(1992) · doi:10.5555/176313.176316 · Cited by 2,892
Distributional clustering of English words
Pereira, F., Tishby, N., & Lee, L. (1993) · Proceedings of the 31st annual meeting on Association for Computational Linguistics - · doi:10.3115/981574.981598 · Cited by 974
A Corpus-Based Approach for Building Semantic LexiconsPreprint
Riloff, E., & Shepherd, J. (1997) · arXiv (Cornell University) · doi:10.48550/arxiv.cmp-lg/9706013 · Cited by 216
Noun-phrase co-occurrence statistics for semiautomatic semantic lexicon construction
Brian Roark, A., & Eugene Charniak, D. (1998) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.3115/980691.980751 · Cited by 135
Edge-Based Best-First Chart Parsing
Charniak, E., Goldwater, S. J., & Johnson, M. S. (1998) · Cited by 73
Cited by
Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis
Cimiano, P., Hotho, A., & Staab, S. (2005) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1648 · Cited by 522
Learning subjective nouns using extraction pattern bootstrapping
Riloff, E., Wiebe, J., & Wilson, T. (2003) · Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - · doi:10.3115/1119176.1119180 · Cited by 494
Semantic taxonomy induction from heterogenous evidence
Snow, R., Jurafsky, D., & Ng, A. Y. (2006) · Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06 · doi:10.3115/1220175.1220276 · Cited by 441
A (Blurry) Vision of the Future: How Leader Rhetoric about Ultimate Goals Influences Performance
Carton, A. M., Murphy, C., & Clark, J. R. (2014) · Academy of Management Journal · doi:10.5465/amj.2012.0101 · Cited by 244
Metadata
- Authors
- Caraballo, S. A.
- Venue
- Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -
- Published
- 1999
- Pages
- 120-126
- OpenAlex
- W2100377551
- Cited by
- 373
- References
- 8
- FWCI
- 5.38
- Type
- conference paper
- Language
- en
- Open access
- gold
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Automatic construction of a hypernym-labeled noun hierarchy from text. https://app.cochat.ai/papers/10.3115/1034678.1034705
- The paper
- Caraballo, S. A. (1999). Automatic construction of a hypernym-labeled noun hierarchy from text. Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -. https://doi.org/10.3115/1034678.1034705
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.