NLPExplorer

Chris Callison Burch

Number of Papers:- 144

Number of Citations:- 3787

First ACL Paper:- 2003

Latest ACL Paper:- 2021

Venues:-

WMT

HLT

Louhi

BEA

CRAC

EMNLP

CLLRD

GEMS

TACL

AACL

*SEMEVAL

EACL

LREC

COLING

ACL

EAMT

IWCS

DaSH

NAACL

SENSE

CoNLL

INLG

IJCNLP

AMTA

WNUT

Co-Authors:-

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RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System NAACL

Cultural and Geographical Influences on Image Translatability of Words across Languages NAACL

TopGuNN: Fast NLP Training Data Augmentation using Large Corpora DaSH NAACL

Toward Better Storylines with Sentence-Level Language Models ACL

Daphne Ippolito | David Grangier | Douglas Eck | Chris Callison-Burch |

Automatic Detection of Generated Text is Easiest when Humans are Fooled ACL

Daphne Ippolito | Daniel Duckworth | Chris Callison-Burch | Douglas Eck |

Intent Detection with WikiHow AACL

Li Zhang | Qing Lyu | Chris Callison-Burch |

Resolving Pronouns in Twitter Streams: Context can Help! COLING CRAC

Anietie Andy | Chris Callison-Burch | Derry Tanti Wijaya |

Proceedings of the LREC 2020 Workshop on "Citizen Linguistics in Language Resource Development" CLLRD LREC WS

James Fiumara | Christopher Cieri | Mark Liberman | Chris Callison-Burch |

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text EMNLP

Liam Dugan | Daphne Ippolito | Arun Kirubarajan | Chris Callison-Burch |

Reasoning about Goals, Steps, and Temporal Ordering with WikiHow EMNLP

Li Zhang | Qing Lyu | Chris Callison-Burch |

Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims NAACL

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification NAACL

ChatEval: A Tool for Chatbot Evaluation NAACL

Comparison of Diverse Decoding Methods from Conditional Language Models ACL

PerspectroScope: A Window to the World of Diverse Perspectives ACL

Sihao Chen | Daniel Khashabi | Chris Callison-Burch | Dan Roth |

A Comparison of Context-sensitive Models for Lexical Substitution IWCS WS

Aina Garí Soler | Anne Cocos | Marianna Apidianaki | Chris Callison-Burch |

Unsupervised Hierarchical Story Infilling NAACL WS

Daphne Ippolito | David Grangier | Chris Callison-Burch | Douglas Eck |

Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events ACL WS

Anietie Andy | Derry Tanti Wijaya | Chris Callison-Burch |

Paraphrase-Sense-Tagged Sentences TACL

Anne Cocos | Chris Callison-Burch |

Learning Scalar Adjective Intensity from Paraphrases EMNLP

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package EMNLP

Ajay Patel | Alexander Sands | Chris Callison-Burch | Marianna Apidianaki |

Introducing NIEUW: Novel Incentives and Workflows for Eliciting Linguistic Data LREC

Simplification Using Paraphrases and Context-Based Lexical Substitution NAACL

Reno Kriz | Eleni Miltsakaki | Marianna Apidianaki | Chris Callison-Burch |

Comparing Constraints for Taxonomic Organization NAACL

Anne Cocos | Marianna Apidianaki | Chris Callison-Burch |

Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation NAACL

Marianna Apidianaki | Guillaume Wisniewski | Anne Cocos | Chris Callison-Burch |

Learning Translations via Images with a Massively Multilingual Image Dataset ACL

ChatEval: A Tool for the Systematic Evaluation of Chatbots INLG WS

Learning Translations via Matrix Completion EMNLP

KnowYourNyms? A Game of Semantic Relationships EMNLP

The Language of Place: Semantic Value from Geospatial Context EACL

Anne Cocos | Chris Callison-Burch |

A Comprehensive Analysis of Bilingual Lexicon Induction CL

Ann Irvine | Chris Callison-Burch |

Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network *SEMEVAL

Sneha Rajana | Chris Callison-Burch | Marianna Apidianaki | Vered Shwartz |

Mapping the Paraphrase Database to WordNet *SEMEVAL

Anne Cocos | Marianna Apidianaki | Chris Callison-Burch |

Word Sense Filtering Improves Embedding-Based Lexical Substitution SENSE WS

Anne Cocos | Marianna Apidianaki | Chris Callison-Burch |

Constructing an Alias List for Named Entities during an Event WNUT WS

Anietie Andy | Mark Dredze | Mugizi Rwebangira | Chris Callison-Burch |

Systematically Adapting Machine Translation for Grammatical Error Correction BEA WS

Courtney Napoles | Chris Callison-Burch |

The Gun Violence Database: A new task and data set for NLP EMNLP

Ellie Pavlick | Heng Ji | Xiaoman Pan | Chris Callison-Burch |

Tense Manages to Predict Implicative Behavior in Verbs EMNLP

Ellie Pavlick | Chris Callison-Burch |

Clustering Paraphrases by Word Sense NAACL

Anne Cocos | Chris Callison-Burch |

Sentential Paraphrasing as Black-Box Machine Translation NAACL

Courtney Napoles | Chris Callison-Burch | Matt Post |

Most “babies” are “little” and most “problems” are “huge”: Compositional Entailment in Adjective-Nouns ACL

Ellie Pavlick | Chris Callison-Burch |

Simple PPDB: A Paraphrase Database for Simplification ACL

Ellie Pavlick | Chris Callison-Burch |

Optimizing Statistical Machine Translation for Text Simplification TACL

So-Called Non-Subsective Adjectives *SEMEVAL

Ellie Pavlick | Chris Callison-Burch |

Cost Optimization in Crowdsourcing Translation: Low cost translations made even cheaper NAACL

Mingkun Gao | Wei Xu | Chris Callison-Burch |

Crowdsourcing for NLP NAACL

Chris Callison-Burch | Lyle Ungar | Ellie Pavlick |

Adding Semantics to Data-Driven Paraphrasing ACL IJCNLP

Domain-Specific Paraphrase Extraction ACL IJCNLP

FrameNet+: Fast Paraphrastic Tripling of FrameNet ACL IJCNLP

PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification ACL IJCNLP

Problems in Current Text Simplification Research: New Data Can Help TACL

Wei Xu | Chris Callison-Burch | Courtney Napoles |

Ideological Perspective Detection Using Semantic Features *SEMEVAL

Heba Elfardy | Mona Diab | Chris Callison-Burch |

SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT) *SEMEVAL

Wei Xu | Chris Callison-Burch | Bill Dolan |

Automatically Scoring Freshman Writing: A Preliminary Investigation BEA WS

Courtney Napoles | Chris Callison-Burch |

Effectively Crowdsourcing Radiology Report Annotations Louhi WS

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing EMNLP

Lluís Màrquez | Chris Callison-Burch | Jian Su |

PARADIGM: Paraphrase Diagnostics through Grammar Matching EACL

Jonathan Weese | Juri Ganitkevitch | Chris Callison-Burch |

Arabic Dialect Identification CL

Omar F. Zaidan | Chris Callison-Burch |

A Multi-Dialect, Multi-Genre Corpus of Informal Written Arabic LREC

Ryan Cotterell | Chris Callison-Burch |

The Multilingual Paraphrase Database LREC

Juri Ganitkevitch | Chris Callison-Burch |

The American Local News Corpus LREC

Ann Irvine | Joshua Langfus | Chris Callison-Burch |

Are Two Heads Better than One? Crowdsourced Translation via a Two-Step Collaboration of Non-Professional Translators and Editors ACL

Rui Yan | Mingkun Gao | Ellie Pavlick | Chris Callison-Burch |

The Language Demographics of Amazon Mechanical Turk TACL

Extracting Lexically Divergent Paraphrases from Twitter TACL

Hallucinating Phrase Translations for Low Resource MT CoNLL WS

Ann Irvine | Chris Callison-Burch |

Using Comparable Corpora to Adapt MT Models to New Domains WMT WS

Ann Irvine | Chris Callison-Burch |

Semi-Markov Phrase-Based Monolingual Alignment EMNLP

Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch | Peter Clark |

Supervised Bilingual Lexicon Induction with Multiple Monolingual Signals NAACL

Ann Irvine | Chris Callison-Burch |

PPDB: The Paraphrase Database NAACL

Juri Ganitkevitch | Benjamin Van Durme | Chris Callison-Burch |

Answer Extraction as Sequence Tagging with Tree Edit Distance NAACL

Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch | Peter Clark |

Dirt Cheap Web-Scale Parallel Text from the Common Crawl ACL

PARMA: A Predicate Argument Aligner ACL

A Lightweight and High Performance Monolingual Word Aligner ACL

Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch | Peter Clark |

Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT TACL

Proceedings of the Eighth Workshop on Statistical Machine Translation WMT WS

Findings of the 2013 Workshop on Statistical Machine Translation WMT WS

Joshua 5.0: Sparser, Better, Faster, Server WMT WS

Combining Bilingual and Comparable Corpora for Low Resource Machine Translation WMT WS

Ann Irvine | Chris Callison-Burch |

Toward Statistical Machine Translation without Parallel Corpora EACL

Alexandre Klementiev | Ann Irvine | Chris Callison-Burch | David Yarowsky |

Modality and Negation in SIMT Use of Modality and Negation in Semantically-Informed Syntactic MT CL

Machine Translation of Arabic Dialects NAACL

Expectations of Word Sense in Parallel Corpora NAACL

Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch |

Monolingual Distributional Similarity for Text-to-Text Generation *SEMEVAL

Juri Ganitkevitch | Benjamin Van Durme | Chris Callison-Burch |

Processing Informal, Romanized Pakistani Text Messages WS

Ann Irvine | Jonathan Weese | Chris Callison-Burch |

Proceedings of the Seventh Workshop on Statistical Machine Translation WMT WS

Findings of the 2012 Workshop on Statistical Machine Translation WMT WS

Using Categorial Grammar to Label Translation Rules WMT WS

Jonathan Weese | Chris Callison-Burch | Adam Lopez |

Joshua 4.0: Packing, PRO, and Paraphrases WMT WS

Constructing Parallel Corpora for Six Indian Languages via Crowdsourcing WMT WS

Matt Post | Chris Callison-Burch | Miles Osborne |

Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation EMNLP

Juri Ganitkevitch | Chris Callison-Burch | Courtney Napoles | Benjamin Van Durme |

Incremental Syntactic Language Models for Phrase-based Translation ACL

Lane Schwartz | Chris Callison-Burch | William Schuler | Stephen Wu |

Crowdsourcing Translation: Professional Quality from Non-Professionals ACL

Omar F. Zaidan | Chris Callison-Burch |

The Arabic Online Commentary Dataset: an Annotated Dataset of Informal Arabic with High Dialectal Content ACL

Omar F. Zaidan | Chris Callison-Burch |

WikiTopics: What is Popular on Wikipedia and Why WS

Byung Gyu Ahn | Benjamin Van Durme | Chris Callison-Burch |

Paraphrase Fragment Extraction from Monolingual Comparable Corpora WS

Rui Wang | Chris Callison-Burch |

Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion WS

Courtney Napoles | Chris Callison-Burch | Juri Ganitkevitch | Benjamin Van Durme |

Evaluating Sentence Compression: Pitfalls and Suggested Remedies WS

Courtney Napoles | Benjamin Van Durme | Chris Callison-Burch |

Proceedings of the Sixth Workshop on Statistical Machine Translation WMT WS

Chris Callison-Burch | Philipp Koehn | Christof Monz | Omar F. Zaidan |

Findings of the 2011 Workshop on Statistical Machine Translation WMT WS

Chris Callison-Burch | Philipp Koehn | Christof Monz | Omar Zaidan |

Joshua 3.0: Syntax-based Machine Translation with the Thrax Grammar Extractor WMT WS

Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity GEMS WS

Tsz Ping Chan | Chris Callison-Burch | Benjamin Van Durme |

Cheap, Fast and Good Enough: Automatic Speech Recognition with Non-Expert Transcription NAACL

Scott Novotney | Chris Callison-Burch |

Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators NAACL

Omar F. Zaidan | Chris Callison-Burch |

Stream-based Translation Models for Statistical Machine Translation NAACL

Abby Levenberg | Chris Callison-Burch | Miles Osborne |

Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation ACL

Michael Bloodgood | Chris Callison-Burch |

Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk WS

Chris Callison-Burch | Mark Dredze |

Creating Speech and Language Data With Amazon’s Mechanical Turk WS

Chris Callison-Burch | Mark Dredze |

Crowdsourced Accessibility: Elicitation of Wikipedia Articles WS

Scott Novotney | Chris Callison-Burch |

Cheap Facts and Counter-Facts WS

Rui Wang | Chris Callison-Burch |

Using Mechanical Turk to Build Machine Translation Evaluation Sets WS

Michael Bloodgood | Chris Callison-Burch |

Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR WS

Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation WS

Joshua 2.0: A Toolkit for Parsing-Based Machine Translation with Syntax, Semirings, Discriminative Training and Other Goodies WS

Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach AMTA

Transliterating From All Languages AMTA

Ann Irvine | Chris Callison-Burch | Alexandre Klementiev |

Feasibility of Human-in-the-loop Minimum Error Rate Training EMNLP

Omar F. Zaidan | Chris Callison-Burch |

Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon’s Mechanical Turk EMNLP

Chris Callison-Burch |

Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases EMNLP

Yuval Marton | Chris Callison-Burch | Philip Resnik |

Demonstration of Joshua: An Open Source Toolkit for Parsing-based Machine Translation ACL IJCNLP

Proceedings of the Fourth Workshop on Statistical Machine Translation WMT WS

Chris Callison-Burch | Philipp Koehn | Christof Monz | Josh Schroeder |

Findings of the 2009 Workshop on Statistical Machine Translation WMT WS

Chris Callison-Burch | Philipp Koehn | Christof Monz | Josh Schroeder |

Joshua: An Open Source Toolkit for Parsing-Based Machine Translation WMT WS

Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences CoNLL WS

Nikesh Garera | Chris Callison-Burch | David Yarowsky |