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# Xiaoqiang Luo

2 paper cards in Mova's library · 2005–2014

Xiaoqiang Luo wrote 2 of the papers Mova reads, in 2005–2014, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/); often with [Eduard Hovy](https://md.mova.elamur.ai/free/en/docs/papers/authors/eduard-hovy/), [Marta Recasens](https://md.mova.elamur.ai/free/en/docs/papers/authors/marta-recasens/), [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/).

[OpenAlex](https://openalex.org/A5111895886) · [**h-index 15**](https://openalex.org/authors/A5111895886) · [1631 citations](https://openalex.org/authors/A5111895886) · [39 works](https://openalex.org/works?filter=author.id:A5111895886) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

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

Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 2

## Papers

1. **[Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation](https://md.mova.elamur.ai/free/en/docs/papers/pradhan-2014-scoring-coreference-partitions-predicted-mentions/)** *(2014)* `measured` Coreference metrics such as MUC, B-cubed and CEAF were originally defined for gold mentions, and different research groups adapted them to predicted mentions in incompatible ways, often by adding or removing mentions artificially so that the key and response partitions line up.
2. **[On Coreference Resolution Performance Metrics](https://md.mova.elamur.ai/free/en/docs/papers/luo-2005-coreference-resolution-performance-metrics/)** *(2005)* `measured` The paper criticises existing coreference metrics, notably MUC (which ignores singletons and rewards over-merging) and the ACE value, and proposes CEAF (Constrained Entity-Alignment F-measure).

## Co-authors (5)

- [Eduard Hovy](https://md.mova.elamur.ai/free/en/docs/papers/authors/eduard-hovy/)
- [Marta Recasens](https://md.mova.elamur.ai/free/en/docs/papers/authors/marta-recasens/)
- [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/)
- [Sameer Pradhan](https://md.mova.elamur.ai/free/en/docs/papers/authors/sameer-pradhan/)
- [Vincent Ng](https://md.mova.elamur.ai/free/en/docs/papers/authors/vincent-ng/)
- [← previous Xiang Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/xiang-yu/)
- [next → Xiuhong Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/xiuhong-zhang/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)