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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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Paper Details:
Month: June
Year: 2005
Location: Ann Arbor, Michigan
Venue:
ACL |
Citations
URL
Feature Embedding for Dependency Parsing
Wenliang Chen
|
Yue Zhang
|
Min Zhang
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Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
Jun Suzuki
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Akinori Fujino
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Hideki Isozaki
|
Improving Word Sense Disambiguation Using Topic Features
Junfu Cai
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Wee Sun Lee
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Yee Whye Teh
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Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks
Xian Qian
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Qi Zhang
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Yaqian Zhou
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Xuanjing Huang
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Lide Wu
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Semi-Supervised Feature Transformation for Dependency Parsing
Wenliang Chen
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Min Zhang
|
Yue Zhang
|
Revisiting Embedding Features for Simple Semi-supervised Learning
Jiang Guo
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Wanxiang Che
|
Haifeng Wang
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Ting Liu
|
Bootstrapping Without the Boot
Jason Eisner
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Damianos Karakos
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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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
|
Alexander Yates
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Model Transfer with Explicit Knowledge of the Relation between Class Definitions
Hiyori Yoshikawa
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Tomoya Iwakura
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Exploiting Domain Structure for Named Entity Recognition
Jing Jiang
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ChengXiang Zhai
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Reducing Weight Undertraining in Structured Discriminative Learning
Charles Sutton
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Michael Sindelar
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Andrew McCallum
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Quadratic Features and Deep Architectures for Chunking
Joseph Turian
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James Bergstra
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Yoshua Bengio
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Robust Morphological Tagging with Word Representations
Thomas Müller
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Hinrich Schuetze
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Learning Predictive Structures for Semantic Role Labeling of NomBank
Chang Liu
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Hwee Tou Ng
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Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
Jun Suzuki
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Hideki Isozaki
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Distributional Representations for Handling Sparsity in Supervised Sequence-Labeling
Fei Huang
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Alexander Yates
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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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Hierarchical Joint Learning: Improving Joint Parsing and Named Entity Recognition with Non-Jointly Labeled Data
Jenny Rose Finkel
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Christopher D. Manning
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Cross-Language Text Classification Using Structural Correspondence Learning
Peter Prettenhofer
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Benno Stein
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Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
Jun Suzuki
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Hideki Isozaki
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Masaaki Nagata
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Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition
Man Lan
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Yu Xu
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Zhengyu Niu
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Tagging The Web: Building A Robust Web Tagger with Neural Network
Ji Ma
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Yue Zhang
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Jingbo Zhu
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Open-Source Tools for Morphology, Lemmatization, POS Tagging and Named Entity Recognition
Jana Straková
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Milan Straka
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Jan Hajič
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Cross-domain Text Classification with Multiple Domains and Disparate Label Sets
Himanshu Sharad Bhatt
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Manjira Sinha
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Shourya Roy
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Semi-supervised sequence tagging with bidirectional language models
Matthew Peters
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Waleed Ammar
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Chandra Bhagavatula
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Russell Power
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Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang
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Christopher D. Manning
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A Hybrid Approach to Chinese Base Noun Phrase Chunking
Fang Xu
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Chengqing Zong
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Jun Zhao
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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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Applying Alternating Structure Optimization to Word Sense Disambiguation
Rie Kubota Ando
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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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A Fast Boosting-based Learner for Feature-Rich Tagging and Chunking
Tomoya Iwakura
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Seishi Okamoto
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Design Challenges and Misconceptions in Named Entity Recognition
Lev Ratinov
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Dan Roth
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Exploring Representation-Learning Approaches to Domain Adaptation
Fei Huang
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Alexander Yates
|
An Double Hidden HMM and an CRF for Segmentation Tasks with Pinyin’s Finals
Huixing Jiang
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Zhe Dong
|
Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition
Oscar Täckström
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A Boosted Semi-Markov Perceptron
Tomoya Iwakura
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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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Semi-supervised Sequence Labeling for Named Entity Extraction based on Tri-Training: Case Study on Chinese Person Name Extraction
Chien-Lung Chou
|
Chia-Hui Chang
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Shin-Yi Wu
|
http://cnts.uia.ac.be/conll2003/ner
http://cnts.uia.ac.be/conll2000/chunking
Field Of Study
Task
Tagging
Chunking
Approach
Semi-supervised Learning
Language
Multilingual
English
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