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Front matter |
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Modelling Compression with Discourse Constraints James Clarke and Mirella Lapata |
pp. 1–11 |
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Using Semantic Roles to Improve Question Answering Dan Shen and Mirella Lapata |
pp. 12–21 |
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What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA Mengqiu Wang, Noah A. Smith and Teruko Mitamura |
pp. 22–32 |
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Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering Youzheng Wu, Ruiqiang Zhang, Xinhui Hu and Hideki Kashioka |
pp. 33–41 |
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Improving Word Alignment with Bridge Languages Shankar Kumar, Franz J. Och and Wolfgang Macherey |
pp. 42–50 |
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Getting the Structure Right for Word Alignment: LEAF Alexander Fraser and Daniel Marcu |
pp. 51–60 |
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Improving Statistical Machine Translation Using Word Sense Disambiguation Marine Carpuat and Dekai Wu |
pp. 61–72 |
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Large Margin Synchronous Generation and its Application to Sentence Compression Trevor Cohn and Mirella Lapata |
pp. 73–82 |
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Incremental Text Structuring with Online Hierarchical Ranking Erdong Chen, Benjamin Snyder and Regina Barzilay |
pp. 83–91 |
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Automatically Identifying the Arguments of Discourse Connectives Ben Wellner and James Pustejovsky |
pp. 92–101 |
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Incremental Generation of Plural Descriptions: Similarity and Partitioning Albert Gatt and Kees van Deemter |
pp. 102–111 |
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A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors Joachim Wagner, Jennifer Foster and Josef van Genabith |
pp. 112–121 |
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Characterizing the Errors of Data-Driven Dependency Parsing Models Ryan McDonald and Joakim Nivre |
pp. 122–131 |
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Probabilistic Models of Nonprojective Dependency Trees David A. Smith and Noah A. Smith |
pp. 132–140 |
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Structured Prediction Models via the Matrix-Tree Theorem Terry Koo, Amir Globerson, Xavier Carreras and Michael Collins |
pp. 141–150 |
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Using Foreign Inclusion Detection to Improve Parsing Performance Beatrice Alex, Amit Dubey and Frank Keller |
pp. 151–160 |
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LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules Rahul Bhagat, Patrick Pantel and Eduard Hovy |
pp. 161–170 |
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Modelling Polysemy in Adjective Classes by Multi-Label Classification Gemma Boleda, Sabine Schulte im Walde and Toni Badia |
pp. 171–180 |
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Improving Query Spelling Correction Using Web Search Results Qing Chen, Mu Li and Ming Zhou |
pp. 181–189 |
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Towards Robust Unsupervised Personal Name Disambiguation Ying Chen and James Martin |
pp. 190–198 |
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Compressing Trigram Language Models With Golomb Coding Kenneth Church, Ted Hart and Jianfeng Gao |
pp. 199–207 |
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Joint Morphological and Syntactic Disambiguation Shay B. Cohen and Noah A. Smith |
pp. 208–217 |
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Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages Sajib Dasgupta and Vincent Ng |
pp. 218–227 |
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Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing Gunes Erkan, Arzucan Ozgur and Dragomir R. Radev |
pp. 228–237 |
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A Sequence Alignment Model Based on the Averaged Perceptron Dayne Freitag and Shahram Khadivi |
pp. 238–247 |
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Instance Based Lexical Entailment for Ontology Population Claudio Giuliano and Alfio Gliozzo |
pp. 248–256 |
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Recovering Non-Local Dependencies for Chinese Yuqing Guo, Haifeng Wang and Josef van Genabith |
pp. 257–266 |
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Exploiting Multi-Word Units in History-Based Probabilistic Generation Deirdre Hogan, Conor Cafferkey, Aoife Cahill and Josef van Genabith |
pp. 267–276 |
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Hierarchical System Combination for Machine Translation Fei Huang and Kishore Papineni |
pp. 277–286 |
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Using RBMT Systems to Produce Bilingual Corpus for SMT Xiaoguang Hu, Haifeng Wang and Hua Wu |
pp. 287–295 |
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Why Doesn’t EM Find Good HMM POS-Taggers? Mark Johnson |
pp. 296–305 |
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Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser Daisuke Kawahara and Sadao Kurohashi |
pp. 306–314 |
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A New Perceptron Algorithm for Sequence Labeling with Non-Local Features Jun’ichi Kazama and Kentaro Torisawa |
pp. 315–324 |
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Extending a Thesaurus in the Pan-Chinese Context Oi Yee Kwong and Benjamin K. Tsou |
pp. 325–333 |
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Low-Quality Product Review Detection in Opinion Summarization Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang and Ming Zhou |
pp. 334–342 |
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Improving Statistical Machine Translation Performance by Training Data Selection and Optimization Yajuan Lu, Jin Huang and Qun Liu |
pp. 343–350 |
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Topic Segmentation with Hybrid Document Indexing Irina Matveeva and Gina-Anne Levow |
pp. 351–359 |
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Syntactic Re-Alignment Models for Machine Translation Jonathan May and Kevin Knight |
pp. 360–368 |
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Detecting Compositionality of Verb-Object Combinations using Selectional Preferences Diana McCarthy, Sriram Venkatapathy and Aravind Joshi |
pp. 369–379 |
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Explorations in Automatic Book Summarization Rada Mihalcea and Hakan Ceylan |
pp. 380–389 |
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Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts Taesun Moon and Jason Baldridge |
pp. 390–399 |
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Flexible, Corpus-Based Modelling of Human Plausibility Judgements Sebastian Padó, Ulrike Padó and Katrin Erk |
pp. 400–409 |
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V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure Andrew Rosenberg and Julia Hirschberg |
pp. 410–420 |
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Bayesian Document Generative Model with Explicit Multiple Topics Issei Sato and Hiroshi Nakagawa |
pp. 421–429 |
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Smooth Bilingual N-Gram Translation Holger Schwenk, Marta R. Costa-jussa and Jose A. R. Fonollosa |
pp. 430–438 |
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Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination Danny Shacham and Shuly Wintner |
pp. 439–447 |
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Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources Krysta Svore, Lucy Vanderwende and Christopher Burges |
pp. 448–457 |
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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 and Shourya Roy |
pp. 458–467 |
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Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap David Talbot and Miles Osborne |
pp. 468–476 |
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Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information Takaaki Tanaka, Francis Bond, Timothy Baldwin, Sanae Fujita and Chikara Hashimoto |
pp. 477–485 |
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An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data Katrin Tomanek, Joachim Wermter and Udo Hahn |
pp. 486–495 |
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Antecedent Selection Techniques for High-Recall Coreference Resolution Yannick Versley |
pp. 496–505 |
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Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component Tonio Wandmacher and Jean-Yves Antoine |
pp. 506–513 |
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Bilingual Cluster Based Models for Statistical Machine Translation Hirofumi Yamamoto and Eiichiro Sumita |
pp. 514–523 |
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A Systematic Comparison of Training Criteria for Statistical Machine Translation Richard Zens, Sasa Hasan and Hermann Ney |
pp. 524–532 |
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Phrase Reordering Model Integrating Syntactic Knowledge for SMT Dongdong Zhang, Mu Li, Chi-Ho Li and Ming Zhou |
pp. 533–540 |
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Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach Shanheng Zhao and Hwee Tou Ng |
pp. 541–550 |
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Parsimonious Data-Oriented Parsing Willem Zuidema |
pp. 551–560 |
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Generating Lexical Analogies Using Dependency Relations Andy Chiu, Pascal Poupart and Chrysanne DiMarco |
pp. 561–570 |
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Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance Saif Mohammad, Iryna Gurevych, Graeme Hirst and Torsten Zesch |
pp. 571–580 |
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Lexical Semantic Relatedness with Random Graph Walks Thad Hughes and Daniel Ramage |
pp. 581–589 |
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Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling Yudong Liu and Anoop Sarkar |
pp. 590–599 |
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Japanese Dependency Analysis Using the Ancestor-Descendant Relation Akihiro Tamura, Hiroya Takamura and Manabu Okumura |
pp. 600–609 |
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A Discriminative Learning Model for Coordinate Conjunctions Masashi Shimbo and Kazuo Hara |
pp. 610–619 |
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Recovery of Empty Nodes in Parse Structures Denis Filimonov and Mary Harper |
pp. 620–629 |
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Treebank Annotation Schemes and Parser Evaluation for German Ines Rehbein and Josef van Genabith |
pp. 630–639 |
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Semi-Markov Models for Sequence Segmentation Qinfeng Shi, Yasemin Altun, Alex Smola and S.V.N. Vishwanathan |
pp. 640–648 |
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A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields Yotaro Watanabe, Masayuki Asahara and Yuji Matsumoto |
pp. 649–657 |
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MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality Anthony Fader, Dragomir R. Radev, Michael H. Crespin, Burt L. Monroe, Kevin M. Quinn and Michael Colaresi |
pp. 658–666 |
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Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors David A. Smith and Jason Eisner |
pp. 667–677 |
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Online Learning of Relaxed CCG Grammars for Parsing to Logical Form Luke Zettlemoyer and Michael Collins |
pp. 678–687 |
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The Infinite PCFG Using Hierarchical Dirichlet Processes Percy Liang, Slav Petrov, Michael Jordan and Dan Klein |
pp. 688–697 |
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Exploiting Wikipedia as External Knowledge for Named Entity Recognition Jun’ichi Kazama and Kentaro Torisawa |
pp. 698–707 |
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Large-Scale Named Entity Disambiguation Based on Wikipedia Data Silviu Cucerzan |
pp. 708–716 |
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Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions Siddharth Patwardhan and Ellen Riloff |
pp. 717–727 |
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Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information GuoDong Zhou, Min Zhang, DongHong Ji and QiaoMing Zhu |
pp. 728–736 |
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Chinese Syntactic Reordering for Statistical Machine Translation Chao Wang, Michael Collins and Philipp Koehn |
pp. 737–745 |
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Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy Wei Wang, Kevin Knight and Daniel Marcu |
pp. 746–754 |
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What Can Syntax-Based MT Learn from Phrase-Based MT? Steve DeNeefe, Kevin Knight, Wei Wang and Daniel Marcu |
pp. 755–763 |
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Online Large-Margin Training for Statistical Machine Translation Taro Watanabe, Jun Suzuki, Hajime Tsukada and Hideki Isozaki |
pp. 764–773 |
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Scalable Term Selection for Text Categorization Jingyang Li and Maosong Sun |
pp. 774–782 |
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Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem Jingbo Zhu and Eduard Hovy |
pp. 783–790 |
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Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach Jun Suzuki, Akinori Fujino and Hideki Isozaki |
pp. 791–800 |
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Finding Good Sequential Model Structures using Output Transformations Edward Loper |
pp. 801–809 |
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A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval Tee Kiah Chia, Haizhou Li and Hwee Tou Ng |
pp. 810–818 |
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Learning Noun Phrase Query Segmentation Shane Bergsma and Qin Iris Wang |
pp. 819–826 |
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Bootstrapping Information Extraction from Field Books Sander Canisius and Caroline Sporleder |
pp. 827–836 |
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Extracting Data Records from Unstructured Biomedical Full Text Donghui Feng, Gully Burns and Eduard Hovy |
pp. 837–846 |
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Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding Ariel Schwartz, Anna Divoli and Marti Hearst |
pp. 847–857 |
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Large Language Models in Machine Translation Thorsten Brants, Ashok C. Popat, Peng Xu, Franz J. Och and Jeffrey Dean |
pp. 858–867 |
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Factored Translation Models Philipp Koehn and Hieu Hoang |
pp. 868–876 |
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Translating Unknown Words by Analogical Learning Philippe Langlais and Alexandre Patry |
pp. 877–886 |
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A Probabilistic Approach to Diachronic Phonology Alexandre Bouchard, Percy Liang, Thomas Griffiths and Dan Klein |
pp. 887–896 |
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Learning Structured Models for Phone Recognition Slav Petrov, Adam Pauls and Dan Klein |
pp. 897–905 |
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Inducing Search Keys for Name Filtering L. Karl Branting |
pp. 906–914 |
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The CoNLL 2007 Shared Task on Dependency Parsing Joakim Nivre, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel and Deniz Yuret |
pp. 915–932 |
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Single Malt or Blended? A Study in Multilingual Parser Optimization Johan Hall, Jens Nilsson, Joakim Nivre, Gülsen Eryigit, Beáta Megyesi, Mattias Nilsson and Markus Saers |
pp. 933–939 |
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Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing Xiangyu Duan, Jun Zhao and Bo Xu |
pp. 940–946 |
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Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model Ivan Titov and James Henderson |
pp. 947–951 |
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Multilingual Dependency Parsing Using Global Features Tetsuji Nakagawa |
pp. 952–956 |
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Experiments with a Higher-Order Projective Dependency Parser Xavier Carreras |
pp. 957–961 |
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Log-Linear Models of Non-Projective Trees, k-best MST Parsing and Tree-Ranking Keith Hall, Jiri Havelka and David A. Smith |
pp. 962–966 |
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Improving Translation Quality by Discarding Most of the Phrasetable Howard Johnson, Joel Martin, George Foster and Roland Kuhn |
pp. 967–975 |
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Hierarchical Phrase-Based Translation with Suffix Arrays Adam Lopez |
pp. 976–985 |
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An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems Wolfgang Macherey and Franz J. Och |
pp. 986–995 |
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Learning to Find English to Chinese Transliterations on the Web Jian-Cheng Wu and Jason S. Chang |
pp. 996–1004 |
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Learning to Merge Word Senses Rion Snow, Sushant Prakash, Daniel Jurafsky and Andrew Y. Ng |
pp. 1005–1014 |
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Improving Word Sense Disambiguation Using Topic Features Junfu Cai, Wee Sun Lee and Yee Whye Teh |
pp. 1015–1023 |
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A Topic Model for Word Sense Disambiguation Jordan Boyd-Graber, David Blei and Xiaojin Zhu |
pp. 1024–1033 |
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Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar Engineering Aline Villavicencio, Valia Kordoni, Yi Zhang, Marco Idiart and Carlos Ramisch |
pp. 1034–1043 |
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Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles Kenji Sagae and Jun’ichi Tsujii |
pp. 1044–1050 |
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Frustratingly Hard Domain Adaptation for Dependency Parsing Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graca and Fernando Pereira |
pp. 1051–1055 |
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Crystal: Analyzing Predictive Opinions on the Web Soo-Min Kim and Eduard Hovy |
pp. 1056–1064 |
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Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining Nozomi Kobayashi, Kentaro Inui and Yuji Matsumoto |
pp. 1065–1074 |
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Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents Nobuhiro Kaji and Masaru Kitsuregawa |
pp. 1075–1083 |
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Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features Nizar Habash, Ryan Gabbard, Owen Rambow, Seth Kulick and Mitch Marcus |
pp. 1084–1092 |
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Mandarin Part-of-Speech Tagging and Discriminative Reranking Zhongqiang Huang, Mary Harper and Wen Wang |
pp. 1093–1102 |
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Building Domain-Specific Taggers without Annotated (Domain) Data John Miller, Manabu Torii and K. Vijay-Shanker |
pp. 1103–1111 |
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Multilingual Dependency Parsing and Domain Adaptation using DeSR Giuseppe Attardi, Felice Dell’Orletta, Maria Simi, Atanas Chanev and Massimiliano Ciaramita |
pp. 1112–1118 |
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Hybrid Ways to Improve Domain Independence in an ML Dependency Parser Eckhard Bick |
pp. 1119–1123 |
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A Constraint Satisfaction Approach to Dependency Parsing Sander Canisius and Erik Tjong Kim Sang |
pp. 1124–1128 |
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A Two-Stage Parser for Multilingual Dependency Parsing Wenliang Chen, Yujie Zhang and Hitoshi Isahara |
pp. 1129–1133 |
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Incremental Dependency Parsing Using Online Learning Richard Johansson and Pierre Nugues |
pp. 1134–1138 |
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Online Learning for Deterministic Dependency Parsing Prashanth Reddy Mannem |
pp. 1139–1143 |
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Covington Variations Svetoslav Marinov |
pp. 1144–1148 |
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A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning Le-Minh Nguyen, Akira Shimazu, Phuong-Thai Nguyen and Xuan-Hieu Phan |
pp. 1149–1155 |
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Global Learning of Labeled Dependency Trees Michael Schiehlen and Kristina Spranger |
pp. 1156–1160 |
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Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task Gerold Schneider, Kaarel Kaljurand, Fabio Rinaldi and Tobias Kuhn |
pp. 1161–1165 |
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Structural Correspondence Learning for Dependency Parsing Nobuyuki Shimizu and Hiroshi Nakagawa |
pp. 1166–1169 |
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Adapting the RASP System for the CoNLL07 Domain-Adaptation Task Rebecca Watson and Ted Briscoe |
pp. 1170–1174 |
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Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines Yu-Chieh Wu, Jie-Chi Yang and Yue-Shi Lee |
pp. 1175–1181 |
Last modified on May 27, 2007, 10:22 p.m.