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# Breck Baldwin

3 paper cards in Mova's library · 1995–1998

Breck Baldwin wrote 3 of the papers Mova reads, in 1995–1998, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/); often with Amit Bagga.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Breck+Baldwin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Breck+Baldwin) · [dblp](https://dblp.org/search?q=Breck+Baldwin) · [ACL Anthology](https://aclanthology.org/search/?q=Breck+Baldwin) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Breck+Baldwin)

Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 3 · [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 1

## Papers

1. **[Algorithms for Scoring Coreference Chains](https://md.mova.elamur.ai/free/en/docs/papers/bagga-1998-algorithms-scoring-coreference-chains/)** *(1998)* `measured` The paper proposes the B-cubed (B³) metric for evaluating coreference resolution. Instead of counting links between mentions, as the earlier MUC score does, B³ computes precision and recall for every individual mention: how much of the predicted cluster containing that mention overlaps with its gold cluster, and vice…
2. **[CogNIAC: high precision coreference with limited knowledge and linguistic resources](https://md.mova.elamur.ai/free/en/docs/papers/baldwin-1997-cogniac-high-precision-coreference-limited/)** *(1997)* CogNIAC is a rule-based pronoun resolution system designed for settings where deep linguistic knowledge and rich resources are not available.
3. **[CogNIAC: A Discourse Processing Engine](https://md.mova.elamur.ai/free/en/docs/papers/baldwin-1995-cogniac-discourse-processing-engine/)** *(1995)* This doctoral thesis describes CogNIAC, a pronoun and coreference resolution engine built around a small set of high-confidence rules applied in order.

## Co-authors (1)

- Amit Bagga
- [← previous Bracha Nir](https://md.mova.elamur.ai/free/en/docs/papers/authors/bracha-nir/)
- [next → Brendan O'Connor](https://md.mova.elamur.ai/free/en/docs/papers/authors/brendan-o-connor/)
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