Conference on Empirical Methods in Natural Language Processing (2007)
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Jason Eisner
Modelling Compression with Discourse Constraints
James Clarke
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Mirella Lapata
Using Semantic Roles to Improve Question Answering
Dan Shen
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Mirella Lapata
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
Mengqiu Wang
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Noah A. Smith
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Teruko Mitamura
Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
Youzheng Wu
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Ruiqiang Zhang
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Xinhui Hu
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Hideki Kashioka
Improving Word Alignment with Bridge Languages
Shankar Kumar
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Franz J. Och
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Wolfgang Macherey
Getting the Structure Right for Word Alignment: LEAF
Alexander Fraser
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Daniel Marcu
Improving Statistical Machine Translation Using Word Sense Disambiguation
Marine Carpuat
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Dekai Wu
Large Margin Synchronous Generation and its Application to Sentence Compression
Trevor Cohn
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Mirella Lapata
Incremental Text Structuring with Online Hierarchical Ranking
Erdong Chen
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Benjamin Snyder
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Regina Barzilay
Automatically Identifying the Arguments of Discourse Connectives
Ben Wellner
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James Pustejovsky
Incremental Generation of Plural Descriptions: Similarity and Partitioning
Albert Gatt
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Kees van Deemter
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
Joachim Wagner
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Jennifer Foster
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Josef van Genabith
Characterizing the Errors of Data-Driven Dependency Parsing Models
Ryan McDonald
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Joakim Nivre
Probabilistic Models of Nonprojective Dependency Trees
David A. Smith
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Noah A. Smith
Structured Prediction Models via the Matrix-Tree Theorem
Terry Koo
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Amir Globerson
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Xavier Carreras
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Michael Collins
Using Foreign Inclusion Detection to Improve Parsing Performance
Beatrice Alex
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Amit Dubey
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Frank Keller
LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
Rahul Bhagat
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Patrick Pantel
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Eduard Hovy
Modelling Polysemy in Adjective Classes by Multi-Label Classification
Gemma Boleda
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Sabine Schulte im Walde
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Toni Badia
Improving Query Spelling Correction Using Web Search Results
Qing Chen
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Mu Li
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Ming Zhou
Towards Robust Unsupervised Personal Name Disambiguation
Ying Chen
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James Martin
Compressing Trigram Language Models With Golomb Coding
Kenneth Church
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Ted Hart
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Jianfeng Gao
Joint Morphological and Syntactic Disambiguation
Shay B. Cohen
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Noah A. Smith
Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
Sajib Dasgupta
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Vincent Ng
Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing
Güneş Erkan
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Arzucan Özgür
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Dragomir R. Radev
A Sequence Alignment Model Based on the Averaged Perceptron
Dayne Freitag
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Shahram Khadivi
Instance Based Lexical Entailment for Ontology Population
Claudio Giuliano
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Alfio Gliozzo
Recovering Non-Local Dependencies for Chinese
Yuqing Guo
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Haifeng Wang
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Josef van Genabith
Exploiting Multi-Word Units in History-Based Probabilistic Generation
Deirdre Hogan
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Conor Cafferkey
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Aoife Cahill
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Josef van Genabith
Hierarchical System Combination for Machine Translation
Fei Huang
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Kishore Papineni
Using RBMT Systems to Produce Bilingual Corpus for SMT
Xiaoguang Hu
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Haifeng Wang
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Hua Wu
Why Doesn’t EM Find Good HMM POS-Taggers?
Mark Johnson
Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser
Daisuke Kawahara
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Sadao Kurohashi
A New Perceptron Algorithm for Sequence Labeling with Non-Local Features
Jun’ichi Kazama
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Kentaro Torisawa
Extending a Thesaurus in the Pan-Chinese Context
Oi Yee Kwong
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Benjamin K. Tsou
Low-Quality Product Review Detection in Opinion Summarization
Jingjing Liu
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Yunbo Cao
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Chin-Yew Lin
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Yalou Huang
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Ming Zhou
Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
Yajuan Lü
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Jin Huang
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Qun Liu
Topic Segmentation with Hybrid Document Indexing
Irina Matveeva
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Gina-Anne Levow
Syntactic Re-Alignment Models for Machine Translation
Jonathan May
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Kevin Knight
Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
Diana McCarthy
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Sriram Venkatapathy
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Aravind Joshi
Explorations in Automatic Book Summarization
Rada Mihalcea
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Hakan Ceylan
Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
Taesun Moon
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Jason Baldridge
Flexible, Corpus-Based Modelling of Human Plausibility Judgements
Sebastian Padó
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Ulrike Padó
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Katrin Erk
V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
Andrew Rosenberg
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Julia Hirschberg
Bayesian Document Generative Model with Explicit Multiple Topics
Issei Sato
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Hiroshi Nakagawa
Smooth Bilingual N-Gram Translation
Holger Schwenk
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Marta R. Costa-jussà
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Jose A. R. Fonollosa
Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination
Danny Shacham
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Shuly Wintner
Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
Krysta Svore
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Lucy Vanderwende
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Christopher Burges
Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers
Hironori Takeuchi
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L Venkata Subramaniam
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Tetsuya Nasukawa
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Shourya Roy
Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap
David Talbot
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Miles Osborne
Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
Takaaki Tanaka
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Francis Bond
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Timothy Baldwin
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Sanae Fujita
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Chikara Hashimoto
An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data
Katrin Tomanek
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Joachim Wermter
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Udo Hahn
Antecedent Selection Techniques for High-Recall Coreference Resolution
Yannick Versley
Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component
Tonio Wandmacher
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Jean-Yves Antoine
Bilingual Cluster Based Models for Statistical Machine Translation
Hirofumi Yamamoto
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Eiichiro Sumita
A Systematic Comparison of Training Criteria for Statistical Machine Translation
Richard Zens
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Saša Hasan
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Hermann Ney
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Dongdong Zhang
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Mu Li
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Chi-Ho Li
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Ming Zhou
Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach
Shanheng Zhao
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Hwee Tou Ng
Parsimonious Data-Oriented Parsing
Willem Zuidema
Generating Lexical Analogies Using Dependency Relations
Andy Chiu
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Pascal Poupart
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Chrysanne DiMarco
Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance
Saif Mohammad
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Iryna Gurevych
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Graeme Hirst
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Torsten Zesch
Lexical Semantic Relatedness with Random Graph Walks
Thad Hughes
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Daniel Ramage
Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
Yudong Liu
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Anoop Sarkar
Japanese Dependency Analysis Using the Ancestor-Descendant Relation
Akihiro Tamura
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Hiroya Takamura
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Manabu Okumura
A Discriminative Learning Model for Coordinate Conjunctions
Masashi Shimbo
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Kazuo Hara
Recovery of Empty Nodes in Parse Structures
Denis Filimonov
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Mary Harper
Treebank Annotation Schemes and Parser Evaluation for German
Ines Rehbein
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Josef van Genabith
Semi-Markov Models for Sequence Segmentation
Qinfeng Shi
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Yasemin Altun
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Alex Smola
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S.V.N. Vishwanathan
A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields
Yotaro Watanabe
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Masayuki Asahara
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Yuji Matsumoto
MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality
Anthony Fader
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Dragomir R. Radev
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Michael H. Crespin
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Burt L. Monroe
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Kevin M. Quinn
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Michael Colaresi
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
David A. Smith
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Jason Eisner
Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
Luke Zettlemoyer
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Michael Collins
The Infinite PCFG Using Hierarchical Dirichlet Processes
Percy Liang
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Slav Petrov
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Michael Jordan
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Dan Klein
Exploiting Wikipedia as External Knowledge for Named Entity Recognition
Jun’ichi Kazama
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Kentaro Torisawa
Large-Scale Named Entity Disambiguation Based on Wikipedia Data
Silviu Cucerzan
Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions
Siddharth Patwardhan
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Ellen Riloff
Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
GuoDong Zhou
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Min Zhang
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Dong Hong Ji
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QiaoMing Zhu
Chinese Syntactic Reordering for Statistical Machine Translation
Chao Wang
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Michael Collins
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Philipp Koehn
Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
Wei Wang
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Kevin Knight
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Daniel Marcu
What Can Syntax-Based MT Learn from Phrase-Based MT?
Steve DeNeefe
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Kevin Knight
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Wei Wang
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Daniel Marcu
Online Large-Margin Training for Statistical Machine Translation
Taro Watanabe
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Jun Suzuki
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Hajime Tsukada
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Hideki Isozaki
Scalable Term Selection for Text Categorization
Jingyang Li
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Maosong Sun
Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem
Jingbo Zhu
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Eduard Hovy
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
Jun Suzuki
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Akinori Fujino
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Hideki Isozaki
Finding Good Sequential Model Structures using Output Transformations
Edward Loper
A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
Tee Kiah Chia
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Haizhou Li
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Hwee Tou Ng
Learning Noun Phrase Query Segmentation
Shane Bergsma
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Qin Iris Wang
Bootstrapping Information Extraction from Field Books
Sander Canisius
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Caroline Sporleder
Extracting Data Records from Unstructured Biomedical Full Text
Donghui Feng
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Gully Burns
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Eduard Hovy
Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding
Ariel Schwartz
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Anna Divoli
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Marti Hearst
Large Language Models in Machine Translation
Thorsten Brants
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Ashok C. Popat
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Peng Xu
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Franz J. Och
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Jeffrey Dean
Factored Translation Models
Philipp Koehn
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Hieu Hoang
Translating Unknown Words by Analogical Learning
Philippe Langlais
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Alexandre Patry
A Probabilistic Approach to Diachronic Phonology
Alexandre Bouchard
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Percy Liang
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Thomas Griffiths
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Dan Klein
Learning Structured Models for Phone Recognition
Slav Petrov
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Adam Pauls
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Dan Klein
Inducing Search Keys for Name Filtering
L. Karl Branting
The CoNLL 2007 Shared Task on Dependency Parsing
Joakim Nivre
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Johan Hall
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Sandra Kübler
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Ryan McDonald
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Jens Nilsson
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Sebastian Riedel
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Deniz Yuret
Single Malt or Blended? A Study in Multilingual Parser Optimization
Johan Hall
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Jens Nilsson
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Joakim Nivre
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Gülşen Eryiǧit
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Beáta Megyesi
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Mattias Nilsson
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Markus Saers
Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing
Xiangyu Duan
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Jun Zhao
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Bo Xu
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
Ivan Titov
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James Henderson
Multilingual Dependency Parsing Using Global Features
Tetsuji Nakagawa
Experiments with a Higher-Order Projective Dependency Parser
Xavier Carreras
Log-Linear Models of Non-Projective Trees, k-best MST Parsing and Tree-Ranking
Keith Hall
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Jiří Havelka
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David A. Smith
Improving Translation Quality by Discarding Most of the Phrasetable
Howard Johnson
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Joel Martin
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George Foster
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Roland Kuhn
Hierarchical Phrase-Based Translation with Suffix Arrays
Adam Lopez
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
Wolfgang Macherey
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Franz J. Och
Learning to Find English to Chinese Transliterations on the Web
Jian-Cheng Wu
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Jason S. Chang
Learning to Merge Word Senses
Rion Snow
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Sushant Prakash
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Daniel Jurafsky
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Andrew Y. Ng
Improving Word Sense Disambiguation Using Topic Features
Junfu Cai
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Wee Sun Lee
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Yee Whye Teh
A Topic Model for Word Sense Disambiguation
Jordan Boyd-Graber
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David Blei
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Xiaojin Zhu
Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar Engineering
Aline Villavicencio
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Valia Kordoni
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Yi Zhang
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Marco Idiart
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Carlos Ramisch
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
Kenji Sagae
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Jun’ichi Tsujii
Frustratingly Hard Domain Adaptation for Dependency Parsing
Mark Dredze
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John Blitzer
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Partha Pratim Talukdar
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Kuzman Ganchev
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João Graça
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Fernando Pereira
Crystal: Analyzing Predictive Opinions on the Web
Soo-Min Kim
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Eduard Hovy
Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
Nozomi Kobayashi
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Kentaro Inui
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Yuji Matsumoto
Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents
Nobuhiro Kaji
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Masaru Kitsuregawa
Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
Nizar Habash
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Ryan Gabbard
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Owen Rambow
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Seth Kulick
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Mitch Marcus
Mandarin Part-of-Speech Tagging and Discriminative Reranking
Zhongqiang Huang
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Mary Harper
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Wen Wang
Building Domain-Specific Taggers without Annotated (Domain) Data
John Miller
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Manabu Torii
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K. Vijay-Shanker
Multilingual Dependency Parsing and Domain Adaptation using DeSR
Giuseppe Attardi
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Felice Dell’Orletta
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Maria Simi
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Atanas Chanev
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Massimiliano Ciaramita
Hybrid Ways to Improve Domain Independence in an ML Dependency Parser
Eckhard Bick
A Constraint Satisfaction Approach to Dependency Parsing
Sander Canisius
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Erik Tjong Kim Sang
A Two-Stage Parser for Multilingual Dependency Parsing
Wenliang Chen
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Yujie Zhang
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Hitoshi Isahara
Incremental Dependency Parsing Using Online Learning
Richard Johansson
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Pierre Nugues
Online Learning for Deterministic Dependency Parsing
Prashanth Reddy Mannem
Covington Variations
Svetoslav Marinov
A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
Le-Minh Nguyen
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Akira Shimazu
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Phuong-Thai Nguyen
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Xuan-Hieu Phan
Global Learning of Labeled Dependency Trees
Michael Schiehlen
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Kristina Spranger
Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task
Gerold Schneider
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Kaarel Kaljurand
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Fabio Rinaldi
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Tobias Kuhn
Structural Correspondence Learning for Dependency Parsing
Nobuyuki Shimizu
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Hiroshi Nakagawa
Adapting the RASP System for the CoNLL07 Domain-Adaptation Task
Rebecca Watson
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Ted Briscoe
Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
Yu-Chieh Wu
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Jie-Chi Yang
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Yue-Shi Lee