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# Yufang Hou

5 paper cards in Mova's library · 2013–2022

Yufang Hou wrote 5 of the papers Mova reads, in 2013–2022, 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 [Katja Markert](https://md.mova.elamur.ai/free/en/docs/papers/authors/katja-markert/), [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/), [Bingsheng Yao](https://md.mova.elamur.ai/free/en/docs/papers/authors/bingsheng-yao/).

[OpenAlex](https://openalex.org/A5078812348) · [ORCID](https://orcid.org/0000-0003-2897-6075) · [**h-index 23**](https://openalex.org/authors/A5078812348) · [2442 citations](https://openalex.org/authors/A5078812348) · [115 works](https://openalex.org/works?filter=author.id:A5078812348) — 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=Yufang+Hou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yufang+Hou) · [dblp](https://dblp.org/search?q=Yufang+Hou) · [ACL Anthology](https://aclanthology.org/search/?q=Yufang+Hou) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Yufang+Hou)

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

## Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

- **measured, no gain** — Block same-head links when the mention is marked as comparative or contrastive, a cheap attack on the second main error of coref («same text or head, different entities», exact 69.6%, strict_a 54.7%): a mention with other, another, further, different… *([Fine-grained Information Status Classification Using…](https://md.mova.elamur.ai/free/en/docs/papers/hou-2020-fine-grained-information-status-classification/) · block same-head links under other/another/second/different…: no change on gold trees, one link on SLM trees (+0.01) — strict_a's modifier subset and the…)*

## Papers

1. **[Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension](https://md.mova.elamur.ai/free/en/docs/papers/xu-2022-fantastic-questions-where-find-them/)** *(2022)* FairytaleQA is a question-answering dataset for narrative comprehension aimed at the reading level of kindergarten to eighth-grade children.
2. **[Bridging Anaphora Resolution as Question Answering](https://md.mova.elamur.ai/free/en/docs/papers/hou-2020-bridging-anaphora-resolution-as-question/)** *(2020)* The paper treats bridging anaphora resolution as question answering. Each anaphor is rephrased as a question such as "residents of what?" from its head and premodifiers, and a BERT-based span model (BARQA) finds the antecedent in the preceding context. The model needs no gold mentions. The authors also generate about…
3. **[Fine-grained Information Status Classification Using Discourse Context-Aware BERT](https://md.mova.elamur.ai/free/en/docs/papers/hou-2020-fine-grained-information-status-classification/)** *(2020)* Information status (IS) says how accessible a mention's referent is: old (mentioned before), new, or mediated — not mentioned but accessible through world knowledge (mostly proper names), syntax (their father, a noun linked to an old mention), coordination (aggregate), a rise/fall function value, comparison (further…
4. **[Unrestricted Bridging Resolution](https://md.mova.elamur.ai/free/en/docs/papers/hou-2018-unrestricted-bridging-resolution/)** *(2018)* The article presents ISNotes (50 Wall Street Journal texts, OntoNotes part) annotated for fine-grained information status — new, old, mediated subtypes (world knowledge, syntactic, comparative, function, aggregate) and bridging — with 663 bridging anaphors, and a two-stage system for bridging with no restriction on…
5. **[Global Inference for Bridging Anaphora Resolution](https://md.mova.elamur.ai/free/en/docs/papers/hou-2013-global-inference-bridging-anaphora-resolution/)** *(2013)* The paper addresses antecedent selection for bridging anaphora with no limits on anaphor or relation types.

## Co-authors (19)

- [Katja Markert](https://md.mova.elamur.ai/free/en/docs/papers/authors/katja-markert/) ×2
- [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/) ×2
- [Bingsheng Yao](https://md.mova.elamur.ai/free/en/docs/papers/authors/bingsheng-yao/)
- Branda Sun
- [Dakuo Wang](https://md.mova.elamur.ai/free/en/docs/papers/authors/dakuo-wang/)
- Daniel Ritchie
- [Diyi Yang](https://md.mova.elamur.ai/free/en/docs/papers/authors/diyi-yang/)
- Mark Warschauer
- [Mo Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/mo-yu/)
- [Nanyun Peng](https://md.mova.elamur.ai/free/en/docs/papers/authors/nanyun-peng/)
- Nora Bradford
- [Toby Jia-Jun Li](https://md.mova.elamur.ai/free/en/docs/papers/authors/toby-jia-jun-li/)
- [Tongshuang Wu](https://md.mova.elamur.ai/free/en/docs/papers/authors/tongshuang-wu/)
- Tran Bao Hoang
- Xiaojuan Ma
- [Ying Xu](https://md.mova.elamur.ai/free/en/docs/papers/authors/ying-xu/)
- Yisi Sang
- [Zheng Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/zheng-zhang/)
- [Zhou Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/zhou-yu/)
- [← previous Yue Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/yue-zhang/)
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