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# Peng Qi

4 paper cards in Mova's library · 2017–2023

Peng Qi wrote 4 of the papers Mova reads, in 2017–2023, most of them on [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/); often with [Christopher D. Manning](https://md.mova.elamur.ai/free/en/docs/papers/authors/christopher-d-manning/), [Christopher Manning](https://md.mova.elamur.ai/free/en/docs/papers/authors/christopher-manning/), Jason Bolton.

[OpenAlex](https://openalex.org/A5041658523) · [ORCID](https://orcid.org/0000-0003-0514-9464) · [**h-index 21**](https://openalex.org/authors/A5041658523) · [6630 citations](https://openalex.org/authors/A5041658523) · [91 works](https://openalex.org/works?filter=author.id:A5041658523) — 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=Peng+Qi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Peng+Qi) · [dblp](https://dblp.org/search?q=Peng+Qi) · [ACL Anthology](https://aclanthology.org/search/?q=Peng+Qi) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Peng+Qi)

Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 2 · [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 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. **[Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://md.mova.elamur.ai/free/en/docs/papers/ud-2020-qi-stanza-python-natural-language-processing/)** *(2020)* Stanza is a Python toolkit whose pipeline is neural from raw text to dependencies, for 66 languages. It has a combined tokenizer and sentence splitter, multi-word-token expansion (a frequency lexicon with a sequence-to-sequence model), a POS and feature tagger that conditions XPOS and features on UPOS, a lemmatizer…
3. **[Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-dozat-stanford-s-graph-based-neural/)** *(2017)* The Stanford system is a biaffine graph parser: a BiLSTM encoder, separate ReLU layers for the head and dependent roles of arcs and labels, and biaffine scorers for arcs and labels.
4. **[Arc-swift: A Novel Transition System for Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-qi-arc-swift-novel-transition-system/)** *(2017)* Transition-based parsers reach a distant attachment only through a sequence of local shifts and reduces, and every step is a place to make an error.

## Co-authors (8)

- [Christopher D. Manning](https://md.mova.elamur.ai/free/en/docs/papers/authors/christopher-d-manning/) ×3
- [Christopher Manning](https://md.mova.elamur.ai/free/en/docs/papers/authors/christopher-manning/)
- Jason Bolton
- Jing Huang
- Nina Du
- [Timothy Dozat](https://md.mova.elamur.ai/free/en/docs/papers/authors/timothy-dozat/)
- Yuhao Zhang
- Yuhui Zhang
- [← previous Payal Khullar](https://md.mova.elamur.ai/free/en/docs/papers/authors/payal-khullar/)
- [next → Percy Liang](https://md.mova.elamur.ai/free/en/docs/papers/authors/percy-liang/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
