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Name Tagging with Word Clusters and Discriminative Training
Scott Miller
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Jethran Guinness
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Alex Zamanian
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Paper Details:
Month: May 2 - May 7
Year: 2004
Location: Boston, Massachusetts, USA
Venue:
HLT |
NAACL |
Citations
URL
Using Hidden Markov Random Fields to Combine Distributional and Pattern-Based Word Clustering
Nobuhiro Kaji
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Masaru Kitsuregawa
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Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
Ang Sun
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Ralph Grishman
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A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition
Fahd Alotaibi
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Mark Lee
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Sentence Compression for Target-Polarity Word Collocation Extraction
Yanyan Zhao
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Wanxiang Che
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Honglei Guo
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Bing Qin
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Zhong Su
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Ting Liu
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From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
Simon Šuster
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Gertjan van Noord
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Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns
Roy Schwartz
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Roi Reichart
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Ari Rappoport
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Part of Speech Tagging for French Social Media Data
Farhad Nooralahzadeh
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Caroline Brun
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Claude Roux
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Enhancing Chinese Word Segmentation Using Unlabeled Data
Weiwei Sun
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Jia Xu
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Extreme Extraction – Machine Reading in a Week
Marjorie Freedman
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Lance Ramshaw
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Elizabeth Boschee
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Ryan Gabbard
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Gary Kratkiewicz
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Nicolas Ward
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Ralph Weischedel
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Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation
Longkai Zhang
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Houfeng Wang
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Xu Sun
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Mairgup Mansur
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Revisiting Embedding Features for Simple Semi-supervised Learning
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
Arvind Neelakantan
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Jeevan Shankar
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Alexandre Passos
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Andrew McCallum
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Biography-Dependent Collaborative Entity Archiving for Slot Filling
Yu Hong
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Xiaobin Wang
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Yadong Chen
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Jian Wang
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Tongtao Zhang
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Heng Ji
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Improved Relation Extraction with Feature-Rich Compositional Embedding Models
Matthew R. Gormley
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Mo Yu
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Mark Dredze
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Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen
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Qingming Tang
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Karen Livescu
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Kevin Gimpel
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Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods
Maria Skeppstedt
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Active Learning for Post-Editing Based Incrementally Retrained MT
Aswarth Abhilash Dara
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Josef van Genabith
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Qun Liu
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John Judge
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Antonio Toral
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Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection
Shweta Yadav
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Asif Ekbal
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Sriparna Saha
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Pushpak Bhattacharyya
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Hidden-Variable Models for Discriminative Reranking
Terry Koo
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Michael Collins
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Learning Representations for Weakly Supervised Natural Language Processing Tasks
Fei Huang
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Arun Ahuja
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Doug Downey
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Yi Yang
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Yuhong Guo
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Alexander Yates
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Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports
Maria Evangelia Chatzimina
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Cyril Grouin
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Pierre Zweigenbaum
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Paraphrasing for Automatic Evaluation
David Kauchak
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Regina Barzilay
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Hierarchical Dirichlet Trees for Information Retrieval
Gholamreza Haffari
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Yee Whye Teh
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Domain Adaptation with Latent Semantic Association for Named Entity Recognition
Honglei Guo
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Huijia Zhu
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Zhili Guo
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Xiaoxun Zhang
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Xian Wu
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Zhong Su
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Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
Oscar Täckström
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Ryan McDonald
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Jakob Uszkoreit
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Named Entity Recognition with Bilingual Constraints
Wanxiang Che
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Mengqiu Wang
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Christopher D. Manning
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Ting Liu
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Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter
Shane Bergsma
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Mark Dredze
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Benjamin Van Durme
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Theresa Wilson
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David Yarowsky
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Inducing Lexical Style Properties for Paraphrase and Genre Differentiation
Ellie Pavlick
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Ani Nenkova
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Deep Multilingual Correlation for Improved Word Embeddings
Ang Lu
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Weiran Wang
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
Colin Cherry
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Hongyu Guo
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Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
Mo Yu
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Matthew R. Gormley
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Mark Dredze
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Embedding Lexical Features via Low-Rank Tensors
Mo Yu
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Mark Dredze
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Raman Arora
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Matthew R. Gormley
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BIRA: Improved Predictive Exchange Word Clustering
Jon Dehdari
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Liling Tan
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Josef van Genabith
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A High-Performance Semi-Supervised Learning Method for Text Chunking
Rie Ando
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Tong Zhang
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Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations
Jun’ichi Kazama
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Kentaro Torisawa
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Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Sujan Kumar Saha
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Pabitra Mitra
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Sudeshna Sarkar
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Simple Semi-supervised Dependency Parsing
Terry Koo
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Xavier Carreras
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Michael Collins
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Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
Gideon S. Mann
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Andrew McCallum
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Reducing the Annotation Effort for Letter-to-Phoneme Conversion
Kenneth Dwyer
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Grzegorz Kondrak
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Phrase Clustering for Discriminative Learning
Dekang Lin
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Xiaoyun Wu
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Learning 5000 Relational Extractors
Raphael Hoffmann
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Congle Zhang
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Daniel S. Weld
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Word Representations: A Simple and General Method for Semi-Supervised Learning
Joseph Turian
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Lev-Arie Ratinov
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Yoshua Bengio
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Recognizing Named Entities in Tweets
Xiaohua Liu
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Shaodian Zhang
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Furu Wei
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Ming Zhou
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Semi-supervised Relation Extraction with Large-scale Word Clustering
Ang Sun
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Ralph Grishman
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Satoshi Sekine
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Capturing Paradigmatic and Syntagmatic Lexical Relations: Towards Accurate Chinese Part-of-Speech Tagging
Weiwei Sun
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Hans Uszkoreit
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Joint Event Extraction via Structured Prediction with Global Features
Qi Li
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Heng Ji
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Liang Huang
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The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis
Kashyap Popat
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Balamurali A.R
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Pushpak Bhattacharyya
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Gholamreza Haffari
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Representation Learning for Text-level Discourse Parsing
Yangfeng Ji
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Jacob Eisenstein
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Joint POS Tagging and Transition-based Constituent Parsing in Chinese with Non-local Features
Zhiguo Wang
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Nianwen Xue
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Low-Resource Semantic Role Labeling
Matthew R. Gormley
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Margaret Mitchell
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Benjamin Van Durme
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Mark Dredze
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Tailoring Continuous Word Representations for Dependency Parsing
Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut
Nathan Schneider
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Emily Danchik
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Chris Dyer
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Noah A. Smith
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Enriching Word Sense Embeddings with Translational Context
Mehdi Ghanimifard
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Richard Johansson
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Clinical Information Extraction Using Word Representations
Shervin Malmasi
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Hamed Hassanzadeh
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Mark Dras
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A Powerful and General Approach to Context Exploitation in Natural Language Processing
Robert W. Means
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Syrus C. Nemat-Nasser
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Adrian T. Fan
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Robert Hecht-Nielsen
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Trained Named Entity Recognition using Distributional Clusters
Dayne Freitag
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Morphology Induction from Term Clusters
Dayne Freitag
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Data Selection in Semi-supervised Learning for Name Tagging
Heng Ji
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Ralph Grishman
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Domain Adaptation with Structural Correspondence Learning
John Blitzer
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Ryan McDonald
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Fernando Pereira
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A Context Pattern Induction Method for Named Entity Extraction
Partha Pratim Talukdar
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Thorsten Brants
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Mark Liberman
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Fernando Pereira
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Categorizing Local Contexts as a Step in Grammatical Category Induction
Markus Dickinson
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Charles Jochim
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Interactive Feature Space Construction using Semantic Information
Dan Roth
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Kevin Small
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Design Challenges and Misconceptions in Named Entity Recognition
Lev Ratinov
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Dan Roth
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Cross-lingual Predicate Cluster Acquisition to Improve Bilingual Event Extraction by Inductive Learning
Heng Ji
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Improved Natural Language Learning via Variance-Regularization Support Vector Machines
Shane Bergsma
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Dekang Lin
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Dale Schuurmans
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Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition
Oscar Täckström
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Hierarchical clustering of word class distributions
Grzegorz Chrupała
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Hidden Markov tree models for semantic class induction
Édouard Grave
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Guillaume Obozinski
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Francis Bach
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The AI-KU System at the SPMRL 2013 Shared Task : Unsupervised Features for Dependency Parsing
Volkan Cirik
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Husnu Sensoy
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Lexicon Infused Phrase Embeddings for Named Entity Resolution
Alexandre Passos
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Vineet Kumar
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Andrew McCallum
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An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions
Nitin Madnani
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Aoife Cahill
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Distributed Word Representations Improve NER for e-Commerce
Mahesh Joshi
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Ethan Hart
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Mirko Vogel
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Jean-David Ruvini
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Adapting word2vec to Named Entity Recognition
Scharolta Katharina Sienčnik
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NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter
Colin Cherry
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Hongyu Guo
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Chengbi Dai
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A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing
Yunsu Kim
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Andreas Guta
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Joern Wuebker
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Hermann Ney
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Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems
Syed Sarfaraz Akhtar
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Arihant Gupta
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Avijit Vajpayee
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Arjit Srivastava
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Manish Shrivastava
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No URLs Found
Field Of Study
Task
Tagging
Approach
Discriminative Model
Language
English
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