--- title: "Kristina Toutanova — papers and cards" description: "Kristina Toutanova: 3 paper cards in the Research library (2002–2009), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/kristina-toutanova/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kristina-toutanova/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kristina Toutanova # Kristina Toutanova 3 paper cards in the Research library · 2002–2009 Kristina Toutanova wrote 3 of the papers Mova reads, in 2002–2009, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/), [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/); often with [Dan Flickinger](https://md.research.elamur.ai/free/en/authors/dan-flickinger/), [Stephan Oepen](https://md.research.elamur.ai/free/en/authors/stephan-oepen/), [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/). [OpenAlex](https://openalex.org/A5053947885) · [ORCID](https://orcid.org/0009-0005-3458-9049) · [**h-index 44**](https://openalex.org/authors/A5053947885) · [46381 citations](https://openalex.org/authors/A5053947885) · [150 works](https://openalex.org/works?filter=author.id:A5053947885) — openalex-snapshot, 2026-10-14 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=Kristina+Toutanova) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kristina+Toutanova) · [dblp](https://dblp.org/search?q=Kristina+Toutanova) · [ACL Anthology](https://aclanthology.org/search/?q=Kristina+Toutanova) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Kristina+Toutanova) Topics: [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 2 · [Part-of-speech tagging](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) 1 ## Papers 1. **[A global model for joint lemmatization and part-of-speech prediction](https://md.research.elamur.ai/free/en/papers/aclbulk-2009-toutanova-global-model-joint-lemmatization-part/)** *(2009)* The authors predict lemmas and part-of-speech tags together, because the two depend on each other. Their model combines a tag-set model and a lemmatization model, and adds joint features over a dependency structure of the words, so the decision for one word can use its neighbours. It uses only morphological lexicons… 2. **[LinGO Redwoods: A Rich and Dynamic Treebank for HPSG](https://md.research.elamur.ai/free/en/papers/enprag-2004-oepen-lingo-redwoods-rich-dynamic-treebank/)** *(2004)* Not read: this card is written from what is reliably known about the paper, and every idea is marked to check against the text. 3. **[The LinGO Redwoods Treebank: Motivation and Preliminary Applications](https://md.research.elamur.ai/free/en/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 (7) - [Dan Flickinger](https://md.research.elamur.ai/free/en/authors/dan-flickinger/) ×2 - [Stephan Oepen](https://md.research.elamur.ai/free/en/authors/stephan-oepen/) ×2 - [Christopher D. Manning](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) - [Christopher Manning](https://md.research.elamur.ai/free/en/authors/christopher-manning/) - [Colin Cherry](https://md.research.elamur.ai/free/en/authors/colin-cherry/) - [Stuart Shieber](https://md.research.elamur.ai/free/en/authors/stuart-shieber/) - [Thorsten Brants](https://md.research.elamur.ai/free/en/authors/thorsten-brants/) ## More papers in the library (6) Pages of the Research library: our summary, the ideas, references and who cites each. - [Sparse, Dense, and Attentional Representations for Text Retrieval](https://md.research.elamur.ai/free/en/papers/luan-2021-sparse-dense-attentional-representations-text/) — Yi Luan, Jacob Eisenstein, Kristina Toutanova, et al. · 2021 - [BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions](https://md.research.elamur.ai/free/en/papers/clark-2019-boolq-exploring-surprising-difficulty-natural/) — Christopher Clark, Kenton Lee, Ming-Wei Chang, et al. · 2019 - [Latent Retrieval for Weakly Supervised Open Domain Question Answering](https://md.research.elamur.ai/free/en/papers/lee-2019-latent-retrieval-weakly-supervised-open/) — Kenton Lee, Ming-Wei Chang, Kristina Toutanova · 2019 - [Natural Questions: A Benchmark for Question Answering Research](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2019-natural-questions-benchmark-question-answering/) — Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al. · 2019 - [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://md.research.elamur.ai/free/en/papers/turc-2019-well-read-students-learn-better/) — Iulia Turc, Ming-Wei Chang, Kenton Lee, et al. · 2019 - [Learning Discriminative Projections for Text Similarity Measures](https://md.research.elamur.ai/free/en/papers/yih-2011-learning-discriminative-projections-text-similarity/) — Wen-tau Yih, Kristina Toutanova, John C. Platt, et al. · 2011