Eugene Charniak


2016

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Parsing as Language Modeling
Do Kook Choe | Eugene Charniak
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

2015

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Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment
Byron C. Wallace | Do Kook Choe | Eugene Charniak
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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Syntactic Parse Fusion
Do Kook Choe | David McClosky | Eugene Charniak
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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A Hybrid Generative/Discriminative Approach To Citation Prediction
Chris Tanner | Eugene Charniak
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2014

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Domain-Specific Image Captioning
Rebecca Mason | Eugene Charniak
Proceedings of the Eighteenth Conference on Computational Natural Language Learning

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Natural Language Generation with Vocabulary Constraints
Ben Swanson | Elif Yamangil | Eugene Charniak
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications

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Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)
Byron C. Wallace | Do Kook Choe | Laura Kertz | Eugene Charniak
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Nonparametric Method for Data-driven Image Captioning
Rebecca Mason | Eugene Charniak
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Data Driven Language Transfer Hypotheses
Ben Swanson | Eugene Charniak
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers

2013

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Naive Bayes Word Sense Induction
Do Kook Choe | Eugene Charniak
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication
Byron C. Wallace | Thomas A. Trikalinos | M. Barton Laws | Ira B. Wilson | Eugene Charniak
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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Extracting the Native Language Signal for Second Language Acquisition
Ben Swanson | Eugene Charniak
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Annotation of Online Shopping Images without Labeled Training Examples
Rebecca Mason | Eugene Charniak
Proceedings of the Workshop on Vision and Natural Language Processing

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A Context Free TAG Variant
Ben Swanson | Elif Yamangil | Eugene Charniak | Stuart Shieber
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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Native Language Detection with Tree Substitution Grammars
Benjamin Swanson | Eugene Charniak
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems
Rebecca Mason | Eugene Charniak
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2011

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Extractive Multi-Document Summaries Should Explicitly Not Contain Document Specific Content
Rebecca Mason | Eugene Charniak
Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages

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ACL Lifetime Achievement Award: The Brain as a Statistical Inference Engine—and You Can Too
Eugene Charniak
Computational Linguistics, Volume 37, Issue 4 - December 2011

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Disentangling Chat with Local Coherence Models
Micha Elsner | Eugene Charniak
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

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Extending the Entity Grid with Entity-Specific Features
Micha Elsner | Eugene Charniak
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

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S3 - Statistical Sandhi Splitting
Abhiram Natarajan | Eugene Charniak
Proceedings of 5th International Joint Conference on Natural Language Processing

2010

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The Same-Head Heuristic for Coreference
Micha Elsner | Eugene Charniak
Proceedings of the ACL 2010 Conference Short Papers

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Automatic Domain Adaptation for Parsing
David McClosky | Eugene Charniak | Mark Johnson
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Top-Down Nearly-Context-Sensitive Parsing
Eugene Charniak
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

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Disentangling Chat
Micha Elsner | Eugene Charniak
Computational Linguistics, Volume 36, Issue 3 - September 2010

2009

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Structured Generative Models for Unsupervised Named-Entity Clustering
Micha Elsner | Eugene Charniak | Mark Johnson
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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EM Works for Pronoun Anaphora Resolution
Eugene Charniak | Micha Elsner
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)

2008

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You Talking to Me? A Corpus and Algorithm for Conversation Disentanglement
Micha Elsner | Eugene Charniak
Proceedings of ACL-08: HLT

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Coreference-inspired Coherence Modeling
Micha Elsner | Eugene Charniak
Proceedings of ACL-08: HLT, Short Papers

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Self-Training for Biomedical Parsing
David McClosky | Eugene Charniak
Proceedings of ACL-08: HLT, Short Papers

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Evaluating Unsupervised Part-of-Speech Tagging for Grammar Induction
William P. Headden III | David McClosky | Eugene Charniak
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)

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When is Self-Training Effective for Parsing?
David McClosky | Eugene Charniak | Mark Johnson
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)

2007

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A Unified Local and Global Model for Discourse Coherence
Micha Elsner | Joseph Austerweil | Eugene Charniak
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference

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Language Modeling for Determiner Selection
Jenine Turner | Eugene Charniak
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers

2006

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SParseval: Evaluation Metrics for Parsing Speech
Brian Roark | Mary Harper | Eugene Charniak | Bonnie Dorr | Mark Johnson | Jeremy Kahn | Yang Liu | Mari Ostendorf | John Hale | Anna Krasnyanskaya | Matthew Lease | Izhak Shafran | Matthew Snover | Robin Stewart | Lisa Yung
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

While both spoken and written language processing stand to benefit from parsing, the standard Parseval metrics (Black et al., 1991) and their canonical implementation (Sekine and Collins, 1997) are only useful for text. The Parseval metrics are undefined when the words input to the parser do not match the words in the gold standard parse tree exactly, and word errors are unavoidable with automatic speech recognition (ASR) systems. To fill this gap, we have developed a publicly available tool for scoring parses that implements a variety of metrics which can handle mismatches in words and segmentations, including: alignment-based bracket evaluation, alignment-based dependency evaluation, and a dependency evaluation that does not require alignment. We describe the different metrics, how to use the tool, and the outcome of an extensive set of experiments on the sensitivity.

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Effective Self-Training for Parsing
David McClosky | Eugene Charniak | Mark Johnson
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

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Multilevel Coarse-to-Fine PCFG Parsing
Eugene Charniak | Mark Johnson | Micha Elsner | Joseph Austerweil | David Ellis | Isaac Haxton | Catherine Hill | R. Shrivaths | Jeremy Moore | Michael Pozar | Theresa Vu
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

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Reranking and Self-Training for Parser Adaptation
David McClosky | Eugene Charniak | Mark Johnson
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

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Learning Phrasal Categories
William P. Headden III | Eugene Charniak | Mark Johnson
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

2005

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Effective Use of Prosody in Parsing Conversational Speech
Jeremy G. Kahn | Matthew Lease | Eugene Charniak | Mark Johnson | Mari Ostendorf
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing

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Parsing Biomedical Literature
Matthew Lease | Eugene Charniak
Second International Joint Conference on Natural Language Processing: Full Papers

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Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking
Eugene Charniak | Mark Johnson
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

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Supervised and Unsupervised Learning for Sentence Compression
Jenine Turner | Eugene Charniak
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

2004

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Sentence-Internal Prosody Does not Help Parsing the Way Punctuation Does
Michelle Gregory | Mark Johnson | Eugene Charniak
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004

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Using the Penn Treebank to Evaluate Non-Treebank Parsers
Eric K. Ringger | Robert C. Moore | Eugene Charniak | Lucy Vanderwende | Hisami Suzuki
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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A TAG-based noisy-channel model of speech repairs
Mark Johnson | Eugene Charniak
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)

2003

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Syntax-based language models for statistical machine translation
Eugene Charniak | Kevin Knight | Kenji Yamada
Proceedings of Machine Translation Summit IX: Papers

We present a syntax-based language model for use in noisy-channel machine translation. In particular, a language model based upon that described in (Cha01) is combined with the syntax based translation-model described in (YK01). The resulting system was used to translate 347 sentences from Chinese to English and compared with the results of an IBM-model-4-based system, as well as that of (YK02), all trained on the same data. The translations were sorted into four groups: good/bad syntax crossed with good/bad meaning. While the total number of translations that preserved meaning were the same for (YK02) and the syntax-based system (and both higher than the IBM-model-4-based system), the syntax based system had 45% more translations that also had good syntax than did (YK02) (and approximately 70% more than IBM Model 4). The number of translations that did not preserve meaning, but at least had good grammar, also increased, though to less avail.

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Variation of Entropy and Parse Trees of Sentences as a Function of the Sentence Number
Dmitriy Genzel | Eugene Charniak
Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing

2002

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Parsing and Disfluency Placement
Donald Engel | Eugene Charniak | Mark Johnson
Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP 2002)

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Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics
Pierre Isabelle | Eugene Charniak | Dekang Lin
Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics

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Entropy Rate Constancy in Text
Dmitriy Genzel | Eugene Charniak
Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics

2001

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Immediate-Head Parsing for Language Models
Eugene Charniak
Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics

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Unsupervised Learning of Name Structure From Coreference Data
Eugene Charniak
Second Meeting of the North American Chapter of the Association for Computational Linguistics

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Edit Detection and Parsing for Transcribed Speech
Eugene Charniak | Mark Johnson
Second Meeting of the North American Chapter of the Association for Computational Linguistics

2000

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A Maximum-Entropy-Inspired Parser
Eugene Charniak
1st Meeting of the North American Chapter of the Association for Computational Linguistics

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Assigning Function Tags to Parsed Text
Don Blaheta | Eugene Charniak
1st Meeting of the North American Chapter of the Association for Computational Linguistics

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Reading Comprehension Programs in a Statistical-Language-Processing Class
Eugene Charniak | Yasemin Altun | Rodrigo de Salvo Braz | Benjamin Garrett | Margaret Kosmala | Tomer Moscovich | Lixin Pang | Changhee Pyo | Ye Sun | Wei Wy | Zhongfa Yang | Shawn Zeiler | Lisa Zorn
ANLP-NAACL 2000 Workshop: Reading Comprehension Tests as Evaluation for Computer-Based Language Understanding Systems

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Measuring Efficiency in High-accuracy, Broad-coverage Statistical Parsing
Brian Roark | Eugene Charniak
Proceedings of the COLING-2000 Workshop on Efficiency In Large-Scale Parsing Systems

1999

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Determining the specificity of nouns from text
Sharon A. Caraballo | Eugene Charniak
1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora

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Finding Parts in Very Large Corpora
Matthew Berland | Eugene Charniak
Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics

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Automatic Compensation for Parser Figure-of-Merit Flaws
Don Blaheta | Eugene Charniak
Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics

1998

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New Figures of Merit for Best-First Probabilistic Chart Parsing
Sharon A. Caraballo | Eugene Charniak
Computational Linguistics, Volume 24, Number 2, June 1998

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Noun-phrase co-occurrence statistics for semi-automatic semantic lexicon construction
Brian Roark | Eugene Charniak
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

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Noun-Phrase Co-occurrence Statistics for Semi-Automatic Semantic Lexicon Construction
Brian Roark | Eugene Charniak
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2

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Edge-Based Best-First Chart Parsing
Eugene Charniak | Sharon Goldwater | Mark Johnson
Sixth Workshop on Very Large Corpora

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A Statistical Approach to Anaphora Resolution
Niyu Ge | John Hale | Eugene Charniak
Sixth Workshop on Very Large Corpora

1996

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Figures of Merit for Best-First Probabilistic Chart Parsing
Sharon A. Caraballo | Eugene Charniak
Conference on Empirical Methods in Natural Language Processing

1988

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A Logic for Semantic Interpretation
Eugene Charniak | Robert Goldman
26th Annual Meeting of the Association for Computational Linguistics

1987

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Connectionism and Explanation
Eugene Charniak
Theoretical Issues in Natural Language Processing 3

1986

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Time and Tense in English
Mary P. Harper | Eugene Charniak
24th Annual Meeting of the Association for Computational Linguistics

1978

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With a Spoon in Hand This Must Be the Eating Frame
Eugene Charniak
American Journal of Computational Linguistics (December 1978)

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With a Spoon in Hand This Must Be the Eating Frame
Eugene Charniak
Theoretical Issues in Natural Language Processing-2

1975

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Organization and Inference in a Frame-Like System of Common Sense Knowledge
Eugene Charniak
Theoretical Issues in Natural Language Processing