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ORCIDEMNLP-CoNLL 2007: Prague, Czech Republic
- Jason Eisner:
EMNLP-CoNLL 2007, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, June 28-30, 2007, Prague, Czech Republic. ACL 2007 - James Clarke, Mirella Lapata:
Modelling Compression with Discourse Constraints. 1-11 - Dan Shen, Mirella Lapata:
Using Semantic Roles to Improve Question Answering. 12-21 - Mengqiu Wang, Noah A. Smith, Teruko Mitamura:
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA. 22-32 - Youzheng Wu, Ruiqiang Zhang, Xinhui Hu, Hideki Kashioka:
Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering. 33-41 - Shankar Kumar, Franz Josef Och, Wolfgang Macherey:
Improving Word Alignment with Bridge Languages. 42-50 - Alexander M. Fraser, Daniel Marcu:
Getting the Structure Right for Word Alignment: LEAF. 51-60 - Marine Carpuat, Dekai Wu:
Improving Statistical Machine Translation Using Word Sense Disambiguation. 61-72 - Trevor Cohn, Mirella Lapata:
Large Margin Synchronous Generation and its Application to Sentence Compression. 73-82 - Erdong Chen, Benjamin Snyder, Regina Barzilay:
Incremental Text Structuring with Online Hierarchical Ranking. 83-91 - Ben Wellner, James Pustejovsky:
Automatically Identifying the Arguments of Discourse Connectives. 92-101 - Albert Gatt
, Kees van Deemter:
Incremental Generation of Plural Descriptions: Similarity and Partitioning. 102-111 - Joachim Wagner, Jennifer Foster, Josef van Genabith:
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors. 112-121 - Ryan T. McDonald, Joakim Nivre:
Characterizing the Errors of Data-Driven Dependency Parsing Models. 122-131 - David A. Smith, Noah A. Smith:
Probabilistic Models of Nonprojective Dependency Trees. 132-140 - Terry Koo, Amir Globerson, Xavier Carreras, Michael Collins:
Structured Prediction Models via the Matrix-Tree Theorem. 141-150 - Beatrice Alex, Amit Dubey, Frank Keller:
Using Foreign Inclusion Detection to Improve Parsing Performance. 151-160 - Rahul Bhagat, Patrick Pantel, Eduard H. Hovy:
LEDIR: An Unsupervised Algorithm for Learning Directionality of Inference Rules. 161-170 - Gemma Boleda, Sabine Schulte im Walde, Toni Badia:
Modelling Polysemy in Adjective Classes by Multi-Label Classification. 171-180 - Qing Chen, Mu Li, Ming Zhou:
Improving Query Spelling Correction Using Web Search Results. 181-189 - Ying Chen, James H. Martin:
Towards Robust Unsupervised Personal Name Disambiguation. 190-198 - Kenneth Church, Ted Hart, Jianfeng Gao:
Compressing Trigram Language Models With Golomb Coding. 199-207 - Shay B. Cohen, Noah A. Smith:
Joint Morphological and Syntactic Disambiguation. 208-217 - Sajib Dasgupta, Vincent Ng:
Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages. 218-227 - Günes Erkan, Arzucan Özgür, Dragomir R. Radev:
Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing. 228-237 - Dayne Freitag, Shahram Khadivi:
A Sequence Alignment Model Based on the Averaged Perceptron. 238-247 - Claudio Giuliano, Alfio Massimiliano Gliozzo:
Instance Based Lexical Entailment for Ontology Population. 248-256 - Yuqing Guo, Haifeng Wang, Josef van Genabith:
Recovering Non-Local Dependencies for Chinese. 257-266 - Deirdre Hogan, Conor Cafferkey, Aoife Cahill, Josef van Genabith:
Exploiting Multi-Word Units in History-Based Probabilistic Generation. 267-276 - Fei Huang, Kishore Papineni:
Hierarchical System Combination for Machine Translation. 277-286 - Xiaoguang Hu, Haifeng Wang, Hua Wu:
Using RBMT Systems to Produce Bilingual Corpus for SMT. 287-295 - Mark Johnson:
Why Doesn't EM Find Good HMM POS-Taggers? 296-305 - Daisuke Kawahara, Sadao Kurohashi:
Probabilistic Coordination Disambiguation in a Fully-Lexicalized Japanese Parser. 306-314 - Jun'ichi Kazama, Kentaro Torisawa:
A New Perceptron Algorithm for Sequence Labeling with Non-Local Features. 315-324 - Oi Yee Kwong, Benjamin Ka-Yin T'sou:
Extending a Thesaurus in the Pan-Chinese Context. 325-333 - Jingjing Liu, Yunbo Cao, Chin-Yew Lin, Yalou Huang, Ming Zhou:
Low-Quality Product Review Detection in Opinion Summarization. 334-342 - Yajuan Lü, Jin Huang, Qun Liu:
Improving Statistical Machine Translation Performance by Training Data Selection and Optimization. 343-350 - Irina Matveeva, Gina-Anne Levow:
Topic Segmentation with Hybrid Document Indexing. 351-359 - Jonathan May, Kevin Knight:
Syntactic Re-Alignment Models for Machine Translation. 360-368 - Diana McCarthy, Sriram Venkatapathy, Aravind K. Joshi:
Detecting Compositionality of Verb-Object Combinations using Selectional Preferences. 369-379 - Rada Mihalcea, Hakan Ceylan:
Explorations in Automatic Book Summarization. 380-389 - Taesun Moon, Jason Baldridge:
Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts. 390-399 - Sebastian Padó, Ulrike Padó, Katrin Erk:
Flexible, Corpus-Based Modelling of Human Plausibility Judgements. 400-409 - Andrew Rosenberg, Julia Hirschberg:
V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure. 410-420 - Issei Sato, Hiroshi Nakagawa:
Bayesian Document Generative Model with Explicit Multiple Topics. 421-429 - Holger Schwenk, Marta R. Costa-jussà, José A. R. Fonollosa:
Smooth Bilingual N-Gram Translation. 430-438 - Danny Shacham, Shuly Wintner:
Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination. 439-447 - Krysta M. Svore, Lucy Vanderwende, Christopher J. C. Burges:
Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources. 448-457 - Hironori Takeuchi, L. Venkata Subramaniam, Tetsuya Nasukawa, Shourya Roy:
Automatic Identification of Important Segments and Expressions for Mining of Business-Oriented Conversations at Contact Centers. 458-467 - David Talbot, Miles Osborne:
Smoothed Bloom Filter Language Models: Tera-Scale LMs on the Cheap. 468-476 - Takaaki Tanaka, Francis Bond, Timothy Baldwin, Sanae Fujita, Chikara Hashimoto:
Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information. 477-485 - Katrin Tomanek, Joachim Wermter, Udo Hahn:
An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data. 486-495 - Yannick Versley:
Antecedent Selection Techniques for High-Recall Coreference Resolution. 496-505 - Tonio Wandmacher, Jean-Yves Antoine:
Methods to Integrate a Language Model with Semantic Information for a Word Prediction Component. 506-513 - Hirofumi Yamamoto, Eiichiro Sumita:
Bilingual Cluster Based Models for Statistical Machine Translation. 514-523 - Richard Zens, Sasa Hasan, Hermann Ney:
A Systematic Comparison of Training Criteria for Statistical Machine Translation. 524-532 - Dongdong Zhang, Mu Li, Chi-Ho Li, Ming Zhou:
Phrase Reordering Model Integrating Syntactic Knowledge for SMT. 533-540 - Shanheng Zhao, Hwee Tou Ng:
Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach. 541-550 - Willem H. Zuidema:
Parsimonious Data-Oriented Parsing. 551-560 - Andy Chiu, Pascal Poupart, Chrysanne DiMarco:
Generating Lexical Analogies Using Dependency Relations. 561-570 - Saif M. Mohammad, Iryna Gurevych, Graeme Hirst, Torsten Zesch:
Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance. 571-580 - Thad Hughes, Daniel Ramage:
Lexical Semantic Relatedness with Random Graph Walks. 581-589 - Yudong Liu, Anoop Sarkar:
Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling. 590-599 - Akihiro Tamura, Hiroya Takamura, Manabu Okumura:
Japanese Dependency Analysis Using the Ancestor-Descendant Relation. 600-609 - Masashi Shimbo, Kazuo Hara:
A Discriminative Learning Model for Coordinate Conjunctions. 610-619 - Denis Filimonov, Mary P. Harper:
Recovery of Empty Nodes in Parse Structures. 620-629 - Ines Rehbein, Josef van Genabith:
Treebank Annotation Schemes and Parser Evaluation for German. 630-639 - Qinfeng Shi, Yasemin Altun, Alexander J. Smola, S. V. N. Vishwanathan:
Semi-Markov Models for Sequence Segmentation. 640-648 - Yotaro Watanabe, Masayuki Asahara, Yuji Matsumoto:
A Graph-Based Approach to Named Entity Categorization in Wikipedia Using Conditional Random Fields. 649-657 - Anthony Fader, Dragomir R. Radev, Michael H. Crespin, Burt L. Monroe, Kevin M. Quinn, Michael Colaresi:
MavenRank: Identifying Influential Members of the US Senate Using Lexical Centrality. 658-666 - David A. Smith, Jason Eisner:
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors. 667-677 - Luke Zettlemoyer, Michael Collins:
Online Learning of Relaxed CCG Grammars for Parsing to Logical Form. 678-687 - Percy Liang, Slav Petrov, Michael I. Jordan, Dan Klein:
The Infinite PCFG Using Hierarchical Dirichlet Processes. 688-697 - Jun'ichi Kazama, Kentaro Torisawa:
Exploiting Wikipedia as External Knowledge for Named Entity Recognition. 698-707 - Silviu Cucerzan:
Large-Scale Named Entity Disambiguation Based on Wikipedia Data. 708-716 - Siddharth Patwardhan, Ellen Riloff:
Effective Information Extraction with Semantic Affinity Patterns and Relevant Regions. 717-727 - Guodong Zhou, Min Zhang, Dong-Hong Ji, Qiaoming Zhu:
Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information. 728-736 - Chao Wang, Michael Collins, Philipp Koehn:
Chinese Syntactic Reordering for Statistical Machine Translation. 737-745 - Wei Wang, Kevin Knight, Daniel Marcu:
Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy. 746-754 - Steve DeNeefe, Kevin Knight, Wei Wang, Daniel Marcu:
What Can Syntax-Based MT Learn from Phrase-Based MT? 755-763 - Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki:
Online Large-Margin Training for Statistical Machine Translation. 764-773 - Jingyang Li, Maosong Sun:
Scalable Term Selection for Text Categorization. 774-782 - Jingbo Zhu, Eduard H. Hovy:
Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem. 783-790 - Jun Suzuki, Akinori Fujino, Hideki Isozaki:
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. 791-800 - Edward Loper:
Finding Good Sequential Model Structures using Output Transformations. 801-809 - Tee Kiah Chia, Haizhou Li, Hwee Tou Ng:
A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval. 810-818 - Shane Bergsma, Qin Iris Wang:
Learning Noun Phrase Query Segmentation. 819-826 - Sander Canisius, Caroline Sporleder:
Bootstrapping Information Extraction from Field Books. 827-836 - Donghui Feng, Gully Burns, Eduard H. Hovy:
Extracting Data Records from Unstructured Biomedical Full Text. 837-846 - Ariel S. Schwartz, Anna Divoli, Marti A. Hearst:
Multiple Alignment of Citation Sentences with Conditional Random Fields and Posterior Decoding. 847-857 - Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Josef Och, Jeffrey Dean:
Large Language Models in Machine Translation. 858-867 - Philipp Koehn, Hieu Hoang:
Factored Translation Models. 868-876 - Philippe Langlais, Alexandre Patry:
Translating Unknown Words by Analogical Learning. 877-886 - Alexandre Bouchard-Côté, Percy Liang, Thomas Griffiths, Dan Klein:
A Probabilistic Approach to Diachronic Phonology. 887-896 - Slav Petrov, Adam Pauls, Dan Klein:
Learning Structured Models for Phone Recognition. 897-905 - Karl Branting:
Inducing Search Keys for Name Filtering. 906-914 - Joakim Nivre, Johan Hall, Sandra Kübler, Ryan T. McDonald, Jens Nilsson, Sebastian Riedel, Deniz Yuret:
The CoNLL 2007 Shared Task on Dependency Parsing. 915-932 - Johan Hall, Jens Nilsson, Joakim Nivre, Gülsen Eryigit, Beáta Megyesi, Mattias Nilsson, Markus Saers:
Single Malt or Blended? A Study in Multilingual Parser Optimization. 933-939 - Xiangyu Duan, Jun Zhao, Bo Xu:
Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing. 940-946 - Ivan Titov, James Henderson:
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model. 947-951 - Tetsuji Nakagawa:
Multilingual Dependency Parsing Using Global Features. 952-956 - Xavier Carreras:
Experiments with a Higher-Order Projective Dependency Parser. 957-961 - Keith B. Hall, Jirí Havelka, David A. Smith:
Log-Linear Models of Non-Projective Trees, $k$-best MST Parsing and Tree-Ranking. 962-966 - Howard Johnson, Joel D. Martin, George F. Foster, Roland Kuhn:
Improving Translation Quality by Discarding Most of the Phrasetable. 967-975 - Adam Lopez:
Hierarchical Phrase-Based Translation with Suffix Arrays. 976-985 - Wolfgang Macherey, Franz Josef Och:
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems. 986-995 - Jian-Cheng Wu, Jason S. Chang:
Learning to Find English to Chinese Transliterations on the Web. 996-1004 - Rion Snow, Sushant Prakash, Daniel Jurafsky, Andrew Y. Ng:
Learning to Merge Word Senses. 1005-1014 - Junfu Cai, Wee Sun Lee, Yee Whye Teh:
Improving Word Sense Disambiguation Using Topic Features. 1015-1023 - Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu:
A Topic Model for Word Sense Disambiguation. 1024-1033 - Aline Villavicencio, Valia Kordoni, Yi Zhang, Marco Idiart, Carlos Ramisch:
Validation and Evaluation of Automatically Acquired Multiword Expressions for Grammar Engineering. 1034-1043 - Kenji Sagae, Jun'ichi Tsujii:
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles. 1044-1050 - Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando C. N. Pereira:
Frustratingly Hard Domain Adaptation for Dependency Parsing. 1051-1055 - Soo-Min Kim, Eduard H. Hovy:
Crystal: Analyzing Predictive Opinions on the Web. 1056-1064 - Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto:
Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining. 1065-1074 - Nobuhiro Kaji, Masaru Kitsuregawa:
Building Lexicon for Sentiment Analysis from Massive Collection of HTML Documents. 1075-1083 - Nizar Habash, Ryan Gabbard, Owen Rambow, Seth Kulick, Mitchell P. Marcus:
Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features. 1084-1092 - Zhongqiang Huang, Mary P. Harper, Wen Wang:
Mandarin Part-of-Speech Tagging and Discriminative Reranking. 1093-1102 - John E. Miller, Manabu Torii, K. Vijay-Shanker:
Building Domain-Specific Taggers without Annotated (Domain) Data. 1103-1111 - Giuseppe Attardi, Felice Dell'Orletta, Maria Simi, Atanas Chanev, Massimiliano Ciaramita:
Multilingual Dependency Parsing and Domain Adaptation using DeSR. 1112-1118 - Eckhard Bick:
Hybrid Ways to Improve Domain Independence in an ML Dependency Parser. 1119-1123 - Sander Canisius, Erik F. Tjong Kim Sang:
A Constraint Satisfaction Approach to Dependency Parsing. 1124-1128 - Wenliang Chen, Yujie Zhang, Hitoshi Isahara:
A Two-Stage Parser for Multilingual Dependency Parsing. 1129-1133 - Richard Johansson, Pierre Nugues:
Incremental Dependency Parsing Using Online Learning. 1134-1138 - Prashanth Mannem:
Online Learning for Deterministic Dependency Parsing. 1139-1143 - Svetoslav Marinov:
Covington Variations. 1144-1148 - Le-Minh Nguyen, Akira Shimazu, Thai Phuong Nguyen, Xuan Hieu Phan:
A Multilingual Dependency Analysis System Using Online Passive-Aggressive Learning. 1149-1155 - Michael Schiehlen, Kristina Spranger:
Global Learning of Labeled Dependency Trees. 1156-1160 - Gerold Schneider, Kaarel Kaljurand, Fabio Rinaldi, Tobias Kuhn:
Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task. 1161-1165 - Nobuyuki Shimizu, Hiroshi Nakagawa:
Structural Correspondence Learning for Dependency Parsing. 1166-1169 - Rebecca Watson, Ted Briscoe:
Adapting the RASP System for the CoNLL07 Domain-Adaptation Task. 1170-1174 - Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee:
Multilingual Deterministic Dependency Parsing Framework using Modified Finite Newton Method Support Vector Machines. 1175-1181
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