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Weakly Supervised Natural Language Learning Without Redundant Views
Vincent Ng
|
Claire Cardie
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Paper Details:
Year: 2003
Venue:
HLT |
NAACL |
Citations
URL
Unsupervised Models for Coreference Resolution
Vincent Ng
|
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms
Mamoru Komachi
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Taku Kudo
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Masashi Shimbo
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Yuji Matsumoto
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Classifier Combination for Contextual Idiom Detection Without Labelled Data
Linlin Li
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Caroline Sporleder
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Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
Jian Bo Yang
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Qi Mao
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Qiao Liang Xiang
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Ivor Wai-Hung Tsang
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Kian Ming Adam Chai
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Hai Leong Chieu
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Bilingual Co-Training for Sentiment Classification of Chinese Product Reviews
Xiaojun Wan
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Collaborative Partitioning for Coreference Resolution
Olga Uryupina
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Alessandro Moschitti
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Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset
Pavithra Rajendran
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Danushka Bollegala
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Simon Parsons
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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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Weakly Supervised Learning for Hedge Classification in Scientific Literature
Ben Medlock
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Ted Briscoe
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Co-Training for Cross-Lingual Sentiment Classification
Xiaojun Wan
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Reducing Semantic Drift with Bagging and Distributional Similarity
Tara McIntosh
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James R. Curran
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Updating a Name Tagger Using Contemporary Unlabeled Data
Cristina Mota
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Ralph Grishman
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Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing
Ruihong Huang
|
Ellen Riloff
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Adapting Self-Training for Semantic Role Labeling
Rasoul Samad Zadeh Kaljahi
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Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation
Rui Xia
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Cheng Wang
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Xin-Yu Dai
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Tao Li
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Featureless Domain-Specific Term Extraction with Minimal Labelled Data
Rui Wang
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Wei Liu
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Chris McDonald
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Bootstrapping Coreference Classifiers with Multiple Machine Learning Algorithms
Vincent Ng
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Claire Cardie
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Co-training and Self-training for Word Sense Disambiguation
Rada Mihalcea
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An Expectation Maximization Approach to Pronoun Resolution
Colin Cherry
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Shane Bergsma
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Weakly Supervised Learning Methods for Improving the Quality of Gene Name Normalization Data
Ben Wellner
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Discriminative Models for Semi-Supervised Natural Language Learning
Sajib Dasgupta
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Vincent Ng
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Viterbi Training Improves Unsupervised Dependency Parsing
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Christopher D. Manning
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Assessing the practical usability of an automatically annotated corpus
Md. Faisal Mahbub Chowdhury
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Alberto Lavelli
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Tagging
Coreference Resolution
Approach
Generative Model
Language
English
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