Conference on Empirical Methods in Natural Language Processing (2007)

Volumes

Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) 132 papers

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bib (full) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

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Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
Jason Eisner

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Modelling Compression with Discourse Constraints
James Clarke | Mirella Lapata

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Using Semantic Roles to Improve Question Answering
Dan Shen | Mirella Lapata

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What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
Mengqiu Wang | Noah A. Smith | Teruko Mitamura

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Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
Youzheng Wu | Ruiqiang Zhang | Xinhui Hu | Hideki Kashioka

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Improving Word Alignment with Bridge Languages
Shankar Kumar | Franz J. Och | Wolfgang Macherey

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Getting the Structure Right for Word Alignment: LEAF
Alexander Fraser | Daniel Marcu

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Improving Statistical Machine Translation Using Word Sense Disambiguation
Marine Carpuat | Dekai Wu

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Large Margin Synchronous Generation and its Application to Sentence Compression
Trevor Cohn | Mirella Lapata

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Incremental Text Structuring with Online Hierarchical Ranking
Erdong Chen | Benjamin Snyder | Regina Barzilay

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Automatically Identifying the Arguments of Discourse Connectives
Ben Wellner | James Pustejovsky

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Incremental Generation of Plural Descriptions: Similarity and Partitioning
Albert Gatt | Kees van Deemter

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A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
Joachim Wagner | Jennifer Foster | Josef van Genabith

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Characterizing the Errors of Data-Driven Dependency Parsing Models
Ryan McDonald | Joakim Nivre

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Probabilistic Models of Nonprojective Dependency Trees
David A. Smith | Noah A. Smith

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Structured Prediction Models via the Matrix-Tree Theorem
Terry Koo | Amir Globerson | Xavier Carreras | Michael Collins

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Using Foreign Inclusion Detection to Improve Parsing Performance
Beatrice Alex | Amit Dubey | Frank Keller

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LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules
Rahul Bhagat | Patrick Pantel | Eduard Hovy

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Modelling Polysemy in Adjective Classes by Multi-Label Classification
Gemma Boleda | Sabine Schulte im Walde | Toni Badia

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Improving Query Spelling Correction Using Web Search Results
Qing Chen | Mu Li | Ming Zhou

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Towards Robust Unsupervised Personal Name Disambiguation
Ying Chen | James Martin

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Compressing Trigram Language Models With Golomb Coding
Kenneth Church | Ted Hart | Jianfeng Gao

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Joint Morphological and Syntactic Disambiguation
Shay B. Cohen | Noah A. Smith

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Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
Sajib Dasgupta | Vincent Ng

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Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing
Güneş Erkan | Arzucan Özgür | Dragomir R. Radev

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A Sequence Alignment Model Based on the Averaged Perceptron
Dayne Freitag | Shahram Khadivi

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Instance Based Lexical Entailment for Ontology Population
Claudio Giuliano | Alfio Gliozzo

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Recovering Non-Local Dependencies for Chinese
Yuqing Guo | Haifeng Wang | Josef van Genabith

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Exploiting Multi-Word Units in History-Based Probabilistic Generation
Deirdre Hogan | Conor Cafferkey | Aoife Cahill | Josef van Genabith

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Hierarchical System Combination for Machine Translation
Fei Huang | Kishore Papineni

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Using RBMT Systems to Produce Bilingual Corpus for SMT
Xiaoguang Hu | Haifeng Wang | Hua Wu

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Why Doesn’t EM Find Good HMM POS-Taggers?
Mark Johnson

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Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser
Daisuke Kawahara | Sadao Kurohashi

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A New Perceptron Algorithm for Sequence Labeling with Non-Local Features
Jun’ichi Kazama | Kentaro Torisawa

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Extending a Thesaurus in the Pan-Chinese Context
Oi Yee Kwong | Benjamin K. Tsou

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Low-Quality Product Review Detection in Opinion Summarization
Jingjing Liu | Yunbo Cao | Chin-Yew Lin | Yalou Huang | Ming Zhou

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Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
Yajuan Lü | Jin Huang | Qun Liu

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Topic Segmentation with Hybrid Document Indexing
Irina Matveeva | Gina-Anne Levow

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Syntactic Re-Alignment Models for Machine Translation
Jonathan May | Kevin Knight

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Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
Diana McCarthy | Sriram Venkatapathy | Aravind Joshi

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Explorations in Automatic Book Summarization
Rada Mihalcea | Hakan Ceylan

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Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
Taesun Moon | Jason Baldridge

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Flexible, Corpus-Based Modelling of Human Plausibility Judgements
Sebastian Padó | Ulrike Padó | Katrin Erk

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V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
Andrew Rosenberg | Julia Hirschberg

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Bayesian Document Generative Model with Explicit Multiple Topics
Issei Sato | Hiroshi Nakagawa

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Smooth Bilingual N-Gram Translation
Holger Schwenk | Marta R. Costa-jussà | Jose A. R. Fonollosa

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Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination
Danny Shacham | Shuly Wintner

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Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
Krysta Svore | Lucy Vanderwende | Christopher Burges

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Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers
Hironori Takeuchi | L Venkata Subramaniam | Tetsuya Nasukawa | Shourya Roy

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Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap
David Talbot | Miles Osborne

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Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
Takaaki Tanaka | Francis Bond | Timothy Baldwin | Sanae Fujita | Chikara Hashimoto

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An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data
Katrin Tomanek | Joachim Wermter | Udo Hahn

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Antecedent Selection Techniques for High-Recall Coreference Resolution
Yannick Versley

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Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component
Tonio Wandmacher | Jean-Yves Antoine

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Bilingual Cluster Based Models for Statistical Machine Translation
Hirofumi Yamamoto | Eiichiro Sumita

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A Systematic Comparison of Training Criteria for Statistical Machine Translation
Richard Zens | Saša Hasan | Hermann Ney

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Phrase Reordering Model Integrating Syntactic Knowledge for SMT
Dongdong Zhang | Mu Li | Chi-Ho Li | Ming Zhou

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Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach
Shanheng Zhao | Hwee Tou Ng

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Parsimonious Data-Oriented Parsing
Willem Zuidema

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Generating Lexical Analogies Using Dependency Relations
Andy Chiu | Pascal Poupart | Chrysanne DiMarco

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Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance
Saif Mohammad | Iryna Gurevych | Graeme Hirst | Torsten Zesch

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Lexical Semantic Relatedness with Random Graph Walks
Thad Hughes | Daniel Ramage

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Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
Yudong Liu | Anoop Sarkar

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Japanese Dependency Analysis Using the Ancestor-Descendant Relation
Akihiro Tamura | Hiroya Takamura | Manabu Okumura

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A Discriminative Learning Model for Coordinate Conjunctions
Masashi Shimbo | Kazuo Hara

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Recovery of Empty Nodes in Parse Structures
Denis Filimonov | Mary Harper

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Treebank Annotation Schemes and Parser Evaluation for German
Ines Rehbein | Josef van Genabith

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Semi-Markov Models for Sequence Segmentation
Qinfeng Shi | Yasemin Altun | Alex Smola | S.V.N. Vishwanathan

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A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields
Yotaro Watanabe | Masayuki Asahara | Yuji Matsumoto

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Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
David A. Smith | Jason Eisner

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Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
Luke Zettlemoyer | Michael Collins

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The Infinite PCFG Using Hierarchical Dirichlet Processes
Percy Liang | Slav Petrov | Michael Jordan | Dan Klein

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Exploiting Wikipedia as External Knowledge for Named Entity Recognition
Jun’ichi Kazama | Kentaro Torisawa

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Large-Scale Named Entity Disambiguation Based on Wikipedia Data
Silviu Cucerzan

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Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions
Siddharth Patwardhan | Ellen Riloff

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Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information
GuoDong Zhou | Min Zhang | Dong Hong Ji | QiaoMing Zhu

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Chinese Syntactic Reordering for Statistical Machine Translation
Chao Wang | Michael Collins | Philipp Koehn

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Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
Wei Wang | Kevin Knight | Daniel Marcu

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What Can Syntax-Based MT Learn from Phrase-Based MT?
Steve DeNeefe | Kevin Knight | Wei Wang | Daniel Marcu

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Online Large-Margin Training for Statistical Machine Translation
Taro Watanabe | Jun Suzuki | Hajime Tsukada | Hideki Isozaki

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Scalable Term Selection for Text Categorization
Jingyang Li | Maosong Sun

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Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem
Jingbo Zhu | Eduard Hovy

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Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
Jun Suzuki | Akinori Fujino | Hideki Isozaki

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Finding Good Sequential Model Structures using Output Transformations
Edward Loper

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A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
Tee Kiah Chia | Haizhou Li | Hwee Tou Ng

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Learning Noun Phrase Query Segmentation
Shane Bergsma | Qin Iris Wang

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Bootstrapping Information Extraction from Field Books
Sander Canisius | Caroline Sporleder

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Extracting Data Records from Unstructured Biomedical Full Text
Donghui Feng | Gully Burns | Eduard Hovy

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Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding
Ariel Schwartz | Anna Divoli | Marti Hearst

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Large Language Models in Machine Translation
Thorsten Brants | Ashok C. Popat | Peng Xu | Franz J. Och | Jeffrey Dean

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Factored Translation Models
Philipp Koehn | Hieu Hoang

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Translating Unknown Words by Analogical Learning
Philippe Langlais | Alexandre Patry

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A Probabilistic Approach to Diachronic Phonology
Alexandre Bouchard | Percy Liang | Thomas Griffiths | Dan Klein

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Learning Structured Models for Phone Recognition
Slav Petrov | Adam Pauls | Dan Klein

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Inducing Search Keys for Name Filtering
L. Karl Branting

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Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing
Xiangyu Duan | Jun Zhao | Bo Xu

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Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
Ivan Titov | James Henderson

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Multilingual Dependency Parsing Using Global Features
Tetsuji Nakagawa

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Experiments with a Higher-Order Projective Dependency Parser
Xavier Carreras

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Log-Linear Models of Non-Projective Trees, k-best MST Parsing and Tree-Ranking
Keith Hall | Jiří Havelka | David A. Smith

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Improving Translation Quality by Discarding Most of the Phrasetable
Howard Johnson | Joel Martin | George Foster | Roland Kuhn

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Hierarchical Phrase-Based Translation with Suffix Arrays
Adam Lopez

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An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
Wolfgang Macherey | Franz J. Och

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Learning to Find English to Chinese Transliterations on the Web
Jian-Cheng Wu | Jason S. Chang

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Learning to Merge Word Senses
Rion Snow | Sushant Prakash | Daniel Jurafsky | Andrew Y. Ng

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Improving Word Sense Disambiguation Using Topic Features
Junfu Cai | Wee Sun Lee | Yee Whye Teh

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A Topic Model for Word Sense Disambiguation
Jordan Boyd-Graber | David Blei | Xiaojin Zhu

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Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar Engineering
Aline Villavicencio | Valia Kordoni | Yi Zhang | Marco Idiart | Carlos Ramisch

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Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
Kenji Sagae | Jun’ichi Tsujii

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Crystal: Analyzing Predictive Opinions on the Web
Soo-Min Kim | Eduard Hovy

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Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
Nozomi Kobayashi | Kentaro Inui | Yuji Matsumoto

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Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents
Nobuhiro Kaji | Masaru Kitsuregawa

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Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
Nizar Habash | Ryan Gabbard | Owen Rambow | Seth Kulick | Mitch Marcus

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Mandarin Part-of-Speech Tagging and Discriminative Reranking
Zhongqiang Huang | Mary Harper | Wen Wang

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Building Domain-Specific Taggers without Annotated (Domain) Data
John Miller | Manabu Torii | K. Vijay-Shanker

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Multilingual Dependency Parsing and Domain Adaptation using DeSR
Giuseppe Attardi | Felice Dell’Orletta | Maria Simi | Atanas Chanev | Massimiliano Ciaramita

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Hybrid Ways to Improve Domain Independence in an ML Dependency Parser
Eckhard Bick

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A Constraint Satisfaction Approach to Dependency Parsing
Sander Canisius | Erik Tjong Kim Sang

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A Two-Stage Parser for Multilingual Dependency Parsing
Wenliang Chen | Yujie Zhang | Hitoshi Isahara

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Incremental Dependency Parsing Using Online Learning
Richard Johansson | Pierre Nugues

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Online Learning for Deterministic Dependency Parsing
Prashanth Reddy Mannem

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Covington Variations
Svetoslav Marinov

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A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning
Le-Minh Nguyen | Akira Shimazu | Phuong-Thai Nguyen | Xuan-Hieu Phan

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Global Learning of Labeled Dependency Trees
Michael Schiehlen | Kristina Spranger

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Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task
Gerold Schneider | Kaarel Kaljurand | Fabio Rinaldi | Tobias Kuhn

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Structural Correspondence Learning for Dependency Parsing
Nobuyuki Shimizu | Hiroshi Nakagawa

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Adapting the RASP System for the CoNLL07 Domain-Adaptation Task
Rebecca Watson | Ted Briscoe

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Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines
Yu-Chieh Wu | Jie-Chi Yang | Yue-Shi Lee

Conference on Empirical Methods in Natural Language Processing (2007)

Volumes

pdf (full)bib (full) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

pdf (full)
bib (full) Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)