Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 264

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Extracting company names from text

Rau, L.F.·2002·[1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application

Abstract

A detailed description is given of an implemented algorithm that extracts company names automatically from financial news. Extracting company names from text is one problem; recognizing subsequent references to a company is another. The author addresses both problems in an implemented, well-tested module that operates as a detachable process from a set of natural language processing tools. She implements a good algorithm by combining heuristics, exception lists and extensive corpus analysis. The algorithm generates the most likely variations that those names may go by, for use in subsequent retrieval. Tested on over one million words of naturally occurring financial news, the system has extracted thousands of company names with over 95% accuracy (precision) compared to a human, and succeeded in extracting 25% more companies than were indexed by a human.>

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/caia.1991.120841

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 264

Metadata

Authors
Rau, L. F.
Venue
[1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application
Published
2002-12-10
Volume
i
Pages
29-32
OpenAlex
W2117772341
Cited by
264
References
2
FWCI
1.90
Type
conference paper
Language
en
Open access
closed

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: Extracting company names from text. https://app.cochat.ai/papers/10.1109/caia.1991.120841
The paper
Rau, L. F. (2002). Extracting company names from text. [1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application. https://doi.org/10.1109/caia.1991.120841

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.