Juri Ganitkevitch


2015

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Domain-Specific Paraphrase Extraction
Ellie Pavlick | Juri Ganitkevitch | Tsz Ping Chan | Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

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PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Ellie Pavlick | Pushpendre Rastogi | Juri Ganitkevitch | Benjamin Van Durme | Chris Callison-Burch
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

2014

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PARADIGM: Paraphrase Diagnostics through Grammar Matching
Jonathan Weese | Juri Ganitkevitch | Chris Callison-Burch
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

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The Multilingual Paraphrase Database
Juri Ganitkevitch | Chris Callison-Burch
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We release a massive expansion of the paraphrase database (PPDB) that now includes a collection of paraphrases in 23 different languages. The resource is derived from large volumes of bilingual parallel data. Our collection is extracted and ranked using state of the art methods. The multilingual PPDB has over a billion paraphrase pairs in total, covering the following languages: Arabic, Bulgarian, Chinese, Czech, Dutch, Estonian, Finnish, French, German, Greek, Hungarian, Italian, Latvian, Lithuanian, Polish, Portugese, Romanian, Russian, Slovak, Slovenian, and Swedish.

2013

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Joshua 5.0: Sparser, Better, Faster, Server
Matt Post | Juri Ganitkevitch | Luke Orland | Jonathan Weese | Yuan Cao | Chris Callison-Burch
Proceedings of the Eighth Workshop on Statistical Machine Translation

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Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT
Adam Lopez | Matt Post | Chris Callison-Burch | Jonathan Weese | Juri Ganitkevitch | Narges Ahmidi | Olivia Buzek | Leah Hanson | Beenish Jamil | Matthias Lee | Ya-Ting Lin | Henry Pao | Fatima Rivera | Leili Shahriyari | Debu Sinha | Adam Teichert | Stephen Wampler | Michael Weinberger | Daguang Xu | Lin Yang | Shang Zhao
Transactions of the Association for Computational Linguistics, Volume 1

Machine translation (MT) draws from several different disciplines, making it a complex subject to teach. There are excellent pedagogical texts, but problems in MT and current algorithms for solving them are best learned by doing. As a centerpiece of our MT course, we devised a series of open-ended challenges for students in which the goal was to improve performance on carefully constrained instances of four key MT tasks: alignment, decoding, evaluation, and reranking. Students brought a diverse set of techniques to the problems, including some novel solutions which performed remarkably well. A surprising and exciting outcome was that student solutions or their combinations fared competitively on some tasks, demonstrating that even newcomers to the field can help improve the state-of-the-art on hard NLP problems while simultaneously learning a great deal. The problems, baseline code, and results are freely available.

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PPDB: The Paraphrase Database
Juri Ganitkevitch | Benjamin Van Durme | Chris Callison-Burch
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Large-Scale Paraphrasing for Natural Language Understanding
Juri Ganitkevitch
Proceedings of the 2013 NAACL HLT Student Research Workshop

2012

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Monolingual Distributional Similarity for Text-to-Text Generation
Juri Ganitkevitch | Benjamin Van Durme | Chris Callison-Burch
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

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Joshua 4.0: Packing, PRO, and Paraphrases
Juri Ganitkevitch | Yuan Cao | Jonathan Weese | Matt Post | Chris Callison-Burch
Proceedings of the Seventh Workshop on Statistical Machine Translation

2011

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Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation
Juri Ganitkevitch | Chris Callison-Burch | Courtney Napoles | Benjamin Van Durme
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

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Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation.
Ashish Venugopal | Jakob Uszkoreit | David Talbot | Franz Och | Juri Ganitkevitch
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

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Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion
Courtney Napoles | Chris Callison-Burch | Juri Ganitkevitch | Benjamin Van Durme
Proceedings of the Workshop on Monolingual Text-To-Text Generation

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Joshua 3.0: Syntax-based Machine Translation with the Thrax Grammar Extractor
Jonathan Weese | Juri Ganitkevitch | Chris Callison-Burch | Matt Post | Adam Lopez
Proceedings of the Sixth Workshop on Statistical Machine Translation

2010

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An Enriched MT Grammar for Under $100
Omar F. Zaidan | Juri Ganitkevitch
Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk

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Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies
Zhifei Li | Chris Callison-Burch | Chris Dyer | Juri Ganitkevitch | Ann Irvine | Sanjeev Khudanpur | Lane Schwartz | Wren Thornton | Ziyuan Wang | Jonathan Weese | Omar Zaidan
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

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cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models
Chris Dyer | Adam Lopez | Juri Ganitkevitch | Jonathan Weese | Ferhan Ture | Phil Blunsom | Hendra Setiawan | Vladimir Eidelman | Philip Resnik
Proceedings of the ACL 2010 System Demonstrations

2009

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Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation
Zhifei Li | Chris Callison-Burch | Chris Dyer | Juri Ganitkevitch | Sanjeev Khudanpur | Lane Schwartz | Wren N. G. Thornton | Jonathan Weese | Omar F. Zaidan
Proceedings of the ACL-IJCNLP 2009 Software Demonstrations

2008

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Triplet Lexicon Models for Statistical Machine Translation
Saša Hasan | Juri Ganitkevitch | Hermann Ney | Jesús Andrés-Ferrer
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing