---
title: "Chris Callison-Burch — papers and cards"
description: "Chris Callison-Burch: 6 paper cards in the Research library (2005–2022), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/chris-callison-burch/"
---
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# Chris Callison-Burch

6 paper cards in the Research library · 2005–2022

Chris Callison-Burch wrote 6 of the papers Mova reads, in 2005–2022, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/); often with [Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/), [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/), [Juri Ganitkevitch](https://md.research.elamur.ai/free/en/authors/juri-ganitkevitch/).

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

Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 5 · [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) 1

## Papers

1. **[Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?](https://md.research.elamur.ai/free/en/papers/patel-2022-low-resource-authorship-style-transfer/)** *(2022)* The paper defines low-resource authorship style transfer: rewriting text in the style of a target author who has only about 16 posts, roughly 500 tokens.
2. **[Learning Scalar Adjective Intensity from Paraphrases](https://md.research.elamur.ai/free/en/papers/cocos-2018-learning-scalar-adjective-intensity-paraphrases/)** *(2018)* The paper orders scalar adjectives (warm, hot, scalding) by intensity from paraphrase pairs such as "really hot" ↔ "scalding".
3. **[Optimizing Statistical Machine Translation for Text Simplification](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)** *(2016)* The paper adapts a syntax-based statistical translation system to simplify sentences. Its paraphrase rules come from large bilingual paraphrase tables (PPDB), which are easier to get than manually simplified text, and they are ranked with simplicity-specific features. The main contribution is the metric SARI. It…
4. **[PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification](https://md.research.elamur.ai/free/en/papers/pavlick-2015-ppdb-2-0-better-paraphrase/)** *(2015)* PPDB 1.0 ranked its pivot-extracted paraphrases with a fixed heuristic, and this paper replaces the ranking with a discriminative model.
5. **[PPDB: The Paraphrase Database](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/)** *(2013)* The paper releases PPDB 1.0, a large collection of ranked paraphrases extracted from bilingual parallel corpora by pivoting (the method of Bannard and Callison-Burch).
6. **[Paraphrasing with Bilingual Parallel Corpora](https://md.research.elamur.ai/free/en/papers/bannard-2005-paraphrasing-bilingual-parallel-corpora/)** *(2005)* The paper shows that paraphrases can be extracted from a bilingual parallel corpus, which is far more common than monolingual parallel text.

## Co-authors (13)

- [Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/) ×3
- [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/) ×2
- [Juri Ganitkevitch](https://md.research.elamur.ai/free/en/authors/juri-ganitkevitch/) ×2
- Ajay Patel
- Anne Cocos
- Colin Bannard
- Courtney Napoles
- Marianna Apidianaki
- Nicholas Andrews
- [Pushpendre Rastogi](https://md.research.elamur.ai/free/en/authors/pushpendre-rastogi/)
- Quanze Chen
- Skyler Wharton
- [Wei Xu](https://md.research.elamur.ai/free/en/authors/wei-xu/)

## More papers in the library (25)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Towards Faithful Model Explanation in NLP: A Survey](https://md.research.elamur.ai/free/en/papers/lyu-2024-faithful-model-explanation-nlp-survey/) — Qing Lyu, Marianna Apidianaki, Chris Callison-Burch · 2024
- [Faithful Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/lyu-2023-faithful-chain-thought-reasoning/) — Qing Lyu, Shreya Havaldar, Adam Stein, et al. · 2023
- [A Recipe For Arbitrary Text Style Transfer with Large Language Models](https://md.research.elamur.ai/free/en/papers/reif-2021-recipe-arbitrary-text-style-transfer/) — Emily Reif, Daphne Ippolito, Ann Yuan, et al. · 2021
- [Automatic Detection of Generated Text is Easiest when Humans are Fooled](https://md.research.elamur.ai/free/en/papers/ippolito-2019-automatic-detection-generated-text-easiest/) — Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, et al. · 2019
- [FrameNet+: Fast Paraphrastic Tripling of FrameNet](https://md.research.elamur.ai/free/en/papers/pavlick-2015-framenet-fast-paraphrastic-tripling-framenet/) — Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, et al. · 2015
- [Problems in Current Text Simplification Research: New Data Can Help](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/) — Wei Xu, Chris Callison-Burch, Courtney Napoles · 2015
- [SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/) — Wei Xu, Chris Callison-Burch, Bill Dolan · 2015
- [Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/zaidan-2014-arabic-dialect-identification/) — Omar F. Zaidan, Chris Callison-Burch · 2014
- [Dirt Cheap Web-Scale Parallel Text from the Common Crawl](https://md.research.elamur.ai/free/en/papers/smith-2013-dirt-cheap-web-scale-parallel/) — Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, et al. · 2013
- [Findings of the 2013 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/) — Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al. · 2013
- [Findings of the 2012 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2012-findings-2012-workshop-statistical-machine/) — Chris Callison-Burch, Philipp Koehn, Christof Monz, et al. · 2012
- [Machine Translation of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/zbib-2012-machine-translation-arabic-dialects/) — Rabih Zbib, Erika Malchiodi, Jacob Devlin, et al. · 2012
- [Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT](https://md.research.elamur.ai/free/en/papers/baker-2012-modality-negation-simt-use-modality/) — Kathryn Baker, Michael Bloodgood, Bonnie J. Dorr, et al. · 2012
- [Crowdsourcing Translation: Professional Quality from Non-Professionals](https://md.research.elamur.ai/free/en/papers/zaidan-2011-crowdsourcing-translation-professional-quality-non/) — Omar F. Zaidan, Chris Callison-Burch · 2011
- [Findings of the 2011 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2011-findings-2011-workshop-statistical-machine/) — Chris Callison-Burch, Philipp Koehn, Christof Monz, et al. · 2011
- [The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content](https://md.research.elamur.ai/free/en/papers/zaidan-2011-arabic-online-commentary-dataset-annotated/) — Omar F. Zaidan, Chris Callison-Burch · 2011
- [Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2010-findings-2010-joint-workshop-statistical/) — Chris Callison-Burch, Philipp Koehn, Christof Monz, et al. · 2010
- [Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/burch-2009-fast-cheap-creative-evaluating-translation/) — Chris Callison-Burch · 2009
- [Findings of the 2009 Workshop on Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2009-findings-2009-workshop-statistical-machine/) — Chris Callison-Burch, Philipp Koehn, Christof Monz, et al. · 2009
- [Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases](https://md.research.elamur.ai/free/en/papers/marton-2009-improved-statistical-machine-translation-monolingually/) — Yuval Marton, Chris Callison-Burch, Philip Resnik · 2009
- [Joshua: An Open Source Toolkit for Parsing-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/) — Zhifei Li, Chris Callison-Burch, Chris Dyer, et al. · 2009
- [Constructing Corpora for the Development and Evaluation of Paraphrase Systems](https://md.research.elamur.ai/free/en/papers/cohn-2008-constructing-corpora-development-evaluation-paraphrase/) — Trevor Cohn, Chris Callison-Burch, Mirella Lapata · 2008
- [Syntactic Constraints on Paraphrases Extracted from Parallel Corpora](https://md.research.elamur.ai/free/en/papers/burch-2008-syntactic-constraints-paraphrases-extracted-parallel/) — Chris Callison-Burch · 2008
- [(Meta-) Evaluation of Machine Translation](https://md.research.elamur.ai/free/en/papers/burch-2007-meta-evaluation-machine-translation/) — Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al. · 2007
- [Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation](https://md.research.elamur.ai/free/en/papers/koehn-2005-edinburgh-system-description-2005-iwslt/) — Philipp Koehn, Amittai Axelrod, Alexandra Birch Mayne, et al. · 2005