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# Christopher Manning

5 paper cards in Mova's library · 2002–2023

Christopher Manning wrote 5 of the papers Mova reads, in 2002–2023, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/); often with [Dan Flickinger](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-flickinger/), [Dan Jurafsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-jurafsky/), Danqi Chen.

[OpenAlex](https://openalex.org/A5046006076) · [ORCID](https://orcid.org/0000-0001-6155-649X) · [**h-index 140**](https://openalex.org/authors/A5046006076) · [185462 citations](https://openalex.org/authors/A5046006076) · [781 works](https://openalex.org/works?filter=author.id:A5046006076) — 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=Christopher+Manning) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Christopher+Manning) · [dblp](https://dblp.org/search?q=Christopher+Manning) · [ACL Anthology](https://aclanthology.org/search/?q=Christopher+Manning) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Christopher+Manning)

Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 1 · [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/) 1 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1

## Papers

1. **[PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations](https://md.mova.elamur.ai/free/en/docs/papers/qi-2023-pragmaticqa-dataset-pragmatic-question-answering/)** *(2023)* The dataset has 6,873 question-answer pairs in teacher-student conversations about Fandom wiki topics. For each student question the teacher marks literal answer spans, pragmatic spans that answer the follow-up the student is likely to ask, and a paraphrased final answer. Crowdworkers choose topics of mutual interest…
2. **[Does Universal Dependencies need a parsing representation? An investigation of English](https://md.mova.elamur.ai/free/en/docs/papers/silveira-2015-does-universal-dependencies-need-parsing/)** *(2015)* UD makes content words the heads and attaches function words (auxiliaries, copulas, subordinators, adpositions) to them.
3. **[A Fast and Accurate Dependency Parser using Neural Networks](https://md.mova.elamur.ai/free/en/docs/papers/missing-2014-chen-fast-accurate-dependency-parser-neural/)** *(2014)* Almost all parsers of the time used millions of sparse indicator features built from hand-made templates, which generalise poorly and make feature extraction the main cost.
4. **[A Multi-Pass Sieve for Coreference Resolution](https://md.mova.elamur.ai/free/en/docs/papers/raghunathan-2010-multi-pass-sieve-coreference-resolution/)** *(2010)* `measured` The paper proposes an unsupervised, deterministic coreference system built as a sequence of "sieves": independent rule-based passes applied from the most precise to the least precise.
5. **[The LinGO Redwoods Treebank: Motivation and Preliminary Applications](https://md.mova.elamur.ai/free/en/docs/papers/bank-2002-oepen-lingo-redwoods-treebank-motivation-preliminary/)** *(2002)* The paper proposes a treebank that stores full HPSG analyses from a broad-coverage grammar (the LinGO English Resource Grammar) instead of one fixed tree format, so that users can extract the representation they need.

## Co-authors (16)

- [Dan Flickinger](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-flickinger/)
- [Dan Jurafsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/dan-jurafsky/)
- Danqi Chen
- [Heeyoung Lee](https://md.mova.elamur.ai/free/en/docs/papers/authors/heeyoung-lee/)
- Jing Huang
- Karthik Raghunathan
- [Kristina Toutanova](https://md.mova.elamur.ai/free/en/docs/papers/authors/kristina-toutanova/)
- [Mihai Surdeanu](https://md.mova.elamur.ai/free/en/docs/papers/authors/mihai-surdeanu/)
- [Natalia Silveira](https://md.mova.elamur.ai/free/en/docs/papers/authors/natalia-silveira/)
- [Nathanael Chambers](https://md.mova.elamur.ai/free/en/docs/papers/authors/nathanael-chambers/)
- Nina Du
- [Peng Qi](https://md.mova.elamur.ai/free/en/docs/papers/authors/peng-qi/)
- [Stephan Oepen](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephan-oepen/)
- [Stuart Shieber](https://md.mova.elamur.ai/free/en/docs/papers/authors/stuart-shieber/)
- Sudarshan Rangarajan
- [Thorsten Brants](https://md.mova.elamur.ai/free/en/docs/papers/authors/thorsten-brants/)
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