The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Unsupervised named-entity extraction from the Web: An experimental study
Open accessOverview
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
Basic objects in natural categories
Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P. (1976) · Cognitive Psychology · doi:10.1016/0010-0285(76)90013-x · Cited by 5,643
Text classification from labeled and unlabeled documents using EM
Nigam, K., Mccallum, A. K., Thrun, S., & Mitchell, T. (2000) · Machine Learning · doi:10.1023/a:1007692713085 · Cited by 2,736
Cited by
Distant supervision for relation extraction without labeled data
Mintz, M., Bills, S., Snow, R., & Jurafsky, D. (2009) · Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - ACL-IJCNLP '09 · doi:10.3115/1690219.1690287 · Cited by 2,752
A survey of named entity recognition and classification
Nadeau, D., & Sekine, S. (2007) · Lingvisticae Investigationes · doi:10.1075/li.30.1.03nad · Cited by 2,507
Named Entity Recognition and Relation Extraction: State-of-the-Art
Nasar, Z., Jaffry, S. W., & Malik, M. K. (2022) · ACM Computing Surveys · doi:10.1145/3445965 · Cited by 245
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop
Cranshaw, J., Elwany, E., Newman, T., Kocielnik, R., Yu, B., Soni, S., Teevan, J., & Monroy-Hernández, A. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025780 · Cited by 106
Continual Relation Learning via Episodic Memory Activation and Reconsolidation
Han, X., Dai, Y., Gao, T., Lin, Y., Liu, Z., Li, P., Sun, M., & Zhou, J. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.573 · Cited by 104
Metadata
- Authors
- Etzioni, O., Cafarella, M., Downey, D., Popescu, A.-M., Shaked, T., Soderland, S., Weld, D. S., & Yates, A.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2005-06
- Volume
- 165
- Issue
- 1
- Pages
- 91-134
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2148540243
- Cited by
- 1,124
- References
- 2
- FWCI
- 165.38
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Unsupervised named-entity extraction from the Web: An experimental study. https://app.cochat.ai/papers/10.1016/j.artint.2005.03.001
- The paper
- Etzioni, O., Cafarella, M., Downey, D., Popescu, A.-M., Shaked, T., Soderland, S., Weld, D. S., & Yates, A. (2005). Unsupervised named-entity extraction from the Web: An experimental study. Artificial Intelligence. https://doi.org/10.1016/j.artint.2005.03.001
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.
