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Unsupervised Models for Named Entity Classification
Michael Collins
|
Yoram Singer
|
Paper Details:
Year: 1999
Venue:
EMNLP |
WS |
SIG: SIGDAT
Citations
URL
Answer Extraction
Steven Abney
|
Michael Collins
|
Amit Singhal
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Named Entity Chunking Techniques in Supervised Learning for Japanese Named Entity Recognition
Manabu Sassano
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Takehito Utsuro
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Unsupervised Named Entity Classification Models and their Ensembles
Jae-Ho Kim
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In-Ho Kang
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Key-Sun Choi
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Fine Grained Classification of Named Entities
Michael Fleischman
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Eduard Hovy
|
Probabilistic Reasoning for Entity & Relation Recognition
Dan Roth
|
Wen-tau Yih
|
Unsupervised Learning of Generalized Names
Roman Yangarber
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Winston Lin
|
Ralph Grishman
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Cascading Use of Soft and Hard Matching Pattern Rules for Weakly Supervised Information Extraction
Jing Xiao
|
Tat-Seng Chua
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Hang Cui
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Automatic extraction of paraphrastic phrases from medium-size corpora
Thierry Poibeau
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Named Entity Discovery Using Comparable News Articles
Yusuke Shinyama
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Satoshi Sekine
|
A Linguistic Knowledge Discovery Tool: Very Large Ngram Database Search with Arbitrary Wildcards
Satoshi Sekine
|
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
Ang Sun
|
Ralph Grishman
|
Unsupervised Coreference Resolution by Utilizing the Most Informative Relations
Nafise Sadat Moosavi
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Michael Strube
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Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks
Othman Zennaki
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Nasredine Semmar
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Laurent Besacier
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A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Vikas Yadav
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Steven Bethard
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An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
Ajay Nagesh
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Mihai Surdeanu
|
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms
Mamoru Komachi
|
Taku Kudo
|
Masashi Shimbo
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Yuji Matsumoto
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A Multi-Pass Sieve for Coreference Resolution
Karthik Raghunathan
|
Heeyoung Lee
|
Sudarshan Rangarajan
|
Nathanael Chambers
|
Mihai Surdeanu
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Dan Jurafsky
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Christopher Manning
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Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
Valentin I. Spitkovsky
|
Hiyan Alshawi
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Daniel Jurafsky
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Named Entity Recognition in Tweets: An Experimental Study
Alan Ritter
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Sam Clark
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Mausam
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Oren Etzioni
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An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training
Fan Yang
|
Paul Vozila
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Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Visual Supervision in Bootstrapped Information Extraction
Matthew Berger
|
Ajay Nagesh
|
Joshua Levine
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Mihai Surdeanu
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Helen Zhang
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Bootstrapping statistical parsers from small datasets
Mark Steedman
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Miles Osborne
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Anoop Sarkar
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Stephen Clark
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Rebecca Hwa
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Julia Hockenmaier
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Paul Ruhlen
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Steven Baker
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Jeremiah Crim
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The Multilingual Named Entity Recognition Framework
Thierry Poibeau
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A. Acoulon
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C. Avaux
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L. Beroff-Bénéat
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A. Cadeau
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M. Calberg
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A. Delale
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L. De Temmerman
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A.-L. Guenet
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D. Huis
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M. Jamalpour
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A. Krul
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A. Marcus
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F. Picoli
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C. Plancq
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Named Entity Recognition For Catalan Using Only Spanish Resources and Unlabelled Data
Xavier Carreras
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Lluís Màrquez
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Lluís Padró
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The Multilingual Named Entity Recognition Framework
Thierry Poibeau
|
A. Acoulon
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C. Avaux
|
L. Beroff-Bénéat
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A. Cadeau
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M. Calberg
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A. Delale
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L. De Temmerman
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A.-L. Guenet
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D. Huis
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M. Jamalpour
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A. Krul
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A. Marcus
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F. Picoli
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C. Plancq
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Bootstrapping Named Entity Recognition with Automatically Generated Gazetteer Lists
Zornitsa Kozareva
|
EM Works for Pronoun Anaphora Resolution
Eugene Charniak
|
Micha Elsner
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Learning-Based Named Entity Recognition for Morphologically-Rich, Resource-Scarce Languages
Kazi Saidul Hasan
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Md. Altaf ur Rahman
|
Vincent Ng
|
Learning Dictionaries for Named Entity Recognition using Minimal Supervision
Arvind Neelakantan
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Michael Collins
|
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
Abhishek Abhishek
|
Ashish Anand
|
Amit Awekar
|
End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification
Sanjeev Karn
|
Ulli Waltinger
|
Hinrich Schütze
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Investigating Unsupervised Learning for Text Categorization Bootstrapping
Alfio Gliozzo
|
Carlo Strapparava
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Ido Dagan
|
Bootstrapping Without the Boot
Jason Eisner
|
Damianos Karakos
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Chinese Named Entity Recognition with Multiple Features
Youzheng Wu
|
Jun Zhao
|
Bo Xu
|
Hao Yu
|
Product Named Entity Recognition Based on Hierarchical Hidden Markov Model
Feifan Liu
|
Jun Zhao
|
Bibo Lv
|
Bo Xu
|
Hao Yu
|
Minimally Supervised Learning of Semantic Knowledge from Query Logs
Mamoru Komachi
|
Hisami Suzuki
|
Named Entity Recognition for Telugu
P Srikanth
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Kavi Narayana Murthy
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Named Entity Recognition for South Asian Languages
Amit Goyal
|
Word Translation Disambiguation Using Bilingual Bootstrapping
Hang Li
|
Cong Li
|
Understanding the Yarowsky Algorithm
Steven Abney
|
Building and Using a Lexical Knowledge Base of Near-Synonym Differences
Diana Inkpen
|
Graeme Hirst
|
Is this NE tagger getting old?
Cristina Mota
|
Ralph Grishman
|
Bootstrapping Polar-Opposite Emotion Dimensions from Online Reviews
Luwen Huangfu
|
Mihai Surdeanu
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SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems
Kevin Bowden
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Jiaqi Wu
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Shereen Oraby
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Amita Misra
|
Marilyn Walker
|
Unsupervised Learning of Name Structure From Coreference Data
Eugene Charniak
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Applying Co-Training Methods to Statistical Parsing
Anoop Sarkar
|
Weakly Supervised Natural Language Learning Without Redundant Views
Vincent Ng
|
Claire Cardie
|
Bootstrapping for Named Entity Tagging Using Concept-based Seeds
Cheng Niu
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Wei Li
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Jihong Ding
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Rohini K. Srihari
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Role of Local Context in Automatic Deidentification of Ungrammatical, Fragmented Text
Tawanda Sibanda
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Ozlem Uzuner
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Ozlem Uzuner
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Exploiting Domain Structure for Named Entity Recognition
Jing Jiang
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ChengXiang Zhai
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Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
Alexandre Klementiev
|
Dan Roth
|
Alignment by Agreement
Percy Liang
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Ben Taskar
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Dan Klein
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Structured Generative Models for Unsupervised Named-Entity Clustering
Micha Elsner
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Eugene Charniak
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Mark Johnson
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Coreference Resolution in a Modular, Entity-Centered Model
Aria Haghighi
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Dan Klein
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Entity Clustering Across Languages
Spence Green
|
Nicholas Andrews
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Matthew R. Gormley
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Mark Dredze
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Christopher D. Manning
|
Labeling the Languages of Words in Mixed-Language Documents using Weakly Supervised Methods
Ben King
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Steven Abney
|
Multiview LSA: Representation Learning via Generalized CCA
Pushpendre Rastogi
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Benjamin Van Durme
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Raman Arora
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Distributed Representations of Words to Guide Bootstrapped Entity Classifiers
Sonal Gupta
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Christopher D. Manning
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Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition
Yudong Liu
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Clinton Burkhart
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James Hearne
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Liang Luo
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Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning
Boliang Zhang
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Xiaoman Pan
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Tianlu Wang
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Ashish Vaswani
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Heng Ji
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Kevin Knight
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Daniel Marcu
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Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift
Ajay Nagesh
|
Mihai Surdeanu
|
Tagging Unknown Proper Names Using Decision Trees
Frédéric Béchet
|
Alexis Nasr
|
Franck Genet
|
Extracting Paraphrases from a Parallel Corpus
Regina Barzilay
|
Kathleen R. McKeown
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Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning
Hideki Isozaki
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Applying Co-Training to Reference Resolution
Christoph Mueller
|
Stefan Rapp
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Michael Strube
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Bootstrapping
Steven Abney
|
Teaching a Weaker Classifier: Named Entity Recognition on Upper Case Text
Hai Leong Chieu
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Hwee Tou Ng
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Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
Yunbo Cao
|
Hang Li
|
Li Lian
|
A Bootstrapping Approach to Named Entity Classification Using Successive Learners
Cheng Niu
|
Wei Li
|
Jihong Ding
|
Rohini Srihari
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Counter-Training in Discovery of Semantic Patterns
Roman Yangarber
|
Annealing Techniques For Unsupervised Statistical Language Learning
Noah A. Smith
|
Jason Eisner
|
Applying Machine Learning to Chinese Temporal Relation Resolution
Wenjie Li
|
Kam-Fai Wong
|
Guihong Cao
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Chunfa Yuan
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A High-Performance Semi-Supervised Learning Method for Text Chunking
Rie Ando
|
Tong Zhang
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Syntax-based Semi-Supervised Named Entity Tagging
Behrang Mohit
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Rebecca Hwa
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Names and Similarities on the Web: Fact Extraction in the Fast Lane
Marius Paşca
|
Dekang Lin
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Jeffrey Bigham
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Andrei Lifchits
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Alpa Jain
|
Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora
Alexandre Klementiev
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Dan Roth
|
Boosting Statistical Word Alignment Using Labeled and Unlabeled Data
Hua Wu
|
Haifeng Wang
|
Zhanyi Liu
|
Guiding Semi-Supervision with Constraint-Driven Learning
Ming-Wei Chang
|
Lev Ratinov
|
Dan Roth
|
Semantic Class Induction and Coreference Resolution
Vincent Ng
|
Weakly Supervised Learning for Hedge Classification in Scientific Literature
Ben Medlock
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Ted Briscoe
|
Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs
Marius Paşca
|
Benjamin Van Durme
|
Language Dynamics and Capitalization using Maximum Entropy
Fernando Batista
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Nuno Mamede
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Isabel Trancoso
|
Updating a Name Tagger Using Contemporary Unlabeled Data
Cristina Mota
|
Ralph Grishman
|
Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing
Ruihong Huang
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Ellen Riloff
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Boosting-Based System Combination for Machine Translation
Tong Xiao
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Jingbo Zhu
|
Muhua Zhu
|
Huizhen Wang
|
Confidence Driven Unsupervised Semantic Parsing
Dan Goldwasser
|
Roi Reichart
|
James Clarke
|
Dan Roth
|
Bootstrapping via Graph Propagation
Max Whitney
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Anoop Sarkar
|
Infusion of Labeled Data into Distant Supervision for Relation Extraction
Maria Pershina
|
Bonan Min
|
Wei Xu
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Ralph Grishman
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Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification
Audi Primadhanty
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Xavier Carreras
|
Ariadna Quattoni
|
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
Nanyun Peng
|
Mark Dredze
|
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang
|
Christopher D. Manning
|
Ensemble-based Semantic Lexicon Induction for Semantic Tagging
Ashequl Qadir
|
Ellen Riloff
|
FEUP at SemEval-2018 Task 5: An Experimental Study of a Question Answering System
Carla Abreu
|
Eugénio Oliveira
|
Learning in Natural Language: Theory and Algorithmic Approaches
Dan Roth
|
Limitations of Co-Training for Natural Language Learning from Large Datasets
David Pierce
|
Claire Cardie
|
Boosting automatic lexical acquisition with morphological information
Massimiliano Ciaramita
|
Exploiting Strong Syntactic Heuristics and Co-Training to Learn Semantic Lexicons
William Phillips
|
Ellen Riloff
|
Metonymy Resolution as a Classification Task
Katja Markert
|
Malvina Nissim
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A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts
Michael Thelen
|
Ellen Riloff
|
Fine-Grained Proper Noun Ontologies for Question Answering
Gideon S. Mann
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Probabilistic Named Entity Verification
Yi-Chung Lin
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Peng-Hsiang Hung
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Extracting Pronunciation-translated Names from Chinese Texts using Bootstrapping Approach
Jing Xiao
|
Jimin Liu
|
Tat-Seng Chua
|
Statistical Named Entity Recognizer Adaptation
John D. Burger
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John C. Henderson
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William T. Morgan
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Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day
Silviu Cucerzan
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David Yarowsky
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Named Entity Learning and Verification: Expectation Maximization in Large Corpora
Uwe Quasthoff
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Christian Biemann
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Christian Wolff
|
Use of Support Vector Machines in Extended Named Entity Recognition
Koichi Takeuchi
|
Nigel Collier
|
Bootstrapping POS-taggers using unlabelled data
Stephen Clark
|
James Curran
|
Miles Osborne
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Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint
Yoshimasa Tsuruoka
|
Jun’ichi Tsujii
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Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons
Andrew McCallum
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Wei Li
|
Bootstrapping Coreference Classifiers with Multiple Machine Learning Algorithms
Vincent Ng
|
Claire Cardie
|
Supersense Tagging of Unknown Nouns in WordNet
Massimiliano Ciaramita
|
Mark Johnson
|
Korean Named Entity Recognition using HMM and CoTraining Model
Euisok Chung
|
Yi-Gyu Hwang
|
Myung-Gil Jang
|
Protein Name Tagging for Biomedical Annotation in Text
Kaoru Yamamoto
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Taku Kudo
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Akihiko Konagaya
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Yuji Matsumoto
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An Investigation of Various Information Sources for Classifying Biological names
Manabu Torii
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Sachin Kamboj
|
K. Vijay-Shanker
|
Low-cost Named Entity Classification for Catalan: Exploiting Multilingual Resources and Unlabeled Data
Lluís Màrquez
|
Adrià de Gispert
|
Xavier Carreras
|
Lluís Padró
|
Chinese Named Entity Recognition Combining Statistical Model wih Human Knowledge
Youzheng Wu
|
Jun Zhao
|
Bo Xu
|
Representation and Treatment of Multiword Expressions in Basque
Iñaki Alegria
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Olatz Ansa
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Xabier Artola
|
Nerea Ezeiza
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Koldo Gojenola
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Ruben Urizar
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Semantic Lexicon Construction: Learning from Unlabeled Data via Spectral Analysis
Rie Kubota Ando
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Trained Named Entity Recognition using Distributional Clusters
Dayne Freitag
|
Automatic Short Answer Marking
Stephen G. Pulman
|
Jana Z. Sukkarieh
|
Data Selection in Semi-supervised Learning for Name Tagging
Heng Ji
|
Ralph Grishman
|
Learning Domain-Specific Information Extraction Patterns from the Web
Siddharth Patwardhan
|
Ellen Riloff
|
A Weakly Supervised Learning Approach for Spoken Language Understanding
Wei-Lin Wu
|
Ru-Zhan Lu
|
Jian-Yong Duan
|
Hui Liu
|
Feng Gao
|
Yu-Quan Chen
|
Transductive Pattern Learning for Information Extraction
Brian McLernon
|
Nicholas Kushmerick
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A Hybrid Approach for the Acquisition of Information Extraction Patterns
Mihai Surdeanu
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Jordi Turmo
|
Alicia Ageno
|
Expanding the Recall of Relation Extraction by Bootstrapping
Junji Tomita
|
Stephen Soderland
|
Oren Etzioni
|
Active Annotation
Andreas Vlachos
|
Bootstrapping and Evaluating Named Entity Recognition in the Biomedical Domain
Andreas Vlachos
|
Caroline Gasperin
|
Named Entity Recognition for Ukrainian: A Resource-Light Approach
Sophia Katrenko
|
Pieter Adriaans
|
Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender
Shane Bergsma
|
Dekang Lin
|
Randy Goebel
|
Investigation of Unsupervised Pattern Learning Techniques for Bootstrap Construction of a Medical Treatment Lexicon
Rong Xu
|
Alexander A. Morgan
|
Amar Das
|
Alan Garber
|
Coupling Semi-Supervised Learning of Categories and Relations
Andrew Carlson
|
Justin Betteridge
|
Estevam Rafael Hruschka Junior
|
Tom M. Mitchell
|
An Analysis of Bootstrapping for the Recognition of Temporal Expressions
Jordi Poveda
|
Mihai Surdeanu
|
Jordi Turmo
|
A Simple Semi-supervised Algorithm For Named Entity Recognition
Wenhui Liao
|
Sriharsha Veeramachaneni
|
A Corpus-based Method for Extracting Paraphrases of Emotion Terms
Fazel Keshtkar
|
Diana Inkpen
|
Empirical Studies in Learning to Read
Marjorie Freedman
|
Edward Loper
|
Elizabeth Boschee
|
Ralph Weischedel
|
Using Deep Belief Nets for Chinese Named Entity Categorization
Yu Chen
|
You Ouyang
|
Wenjie Li
|
Dequan Zheng
|
Tiejun Zhao
|
Think Globally, Apply Locally: Using Distributional Characteristics for Hindi Named Entity Identification
Shalini Gupta
|
Pushpak Bhattacharyya
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Learning Better Monolingual Models with Unannotated Bilingual Text
David Burkett
|
Slav Petrov
|
John Blitzer
|
Dan Klein
|
Expanding textual entailment corpora fromWikipedia using co-training
Fabio Massimo Zanzotto
|
Marco Pennacchiotti
|
Automatically Building Training Examples for Entity Extraction
Marco Pennacchiotti
|
Patrick Pantel
|
Improved Pattern Learning for Bootstrapped Entity Extraction
Sonal Gupta
|
Christopher Manning
|
SPIED: Stanford Pattern based Information Extraction and Diagnostics
Sonal Gupta
|
Christopher Manning
|
Simple Semi-Supervised POS Tagging
Karl Stratos
|
Michael Collins
|
Challenges and Solutions for Latin Named Entity Recognition
Alexander Erdmann
|
Christopher Brown
|
Brian Joseph
|
Mark Janse
|
Petra Ajaka
|
Micha Elsner
|
Marie-Catherine de Marneffe
|
No URLs Found
Field Of Study
Approach
Generative Model
Language
English
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