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Chunking with Support Vector Machines
Taku Kudo
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Yuji Matsumoto
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Paper Details:
Year: 2001
Venue:
NAACL |
Citations
URL
Extracting Important Sentences with Support Vector Machines
Tsutomu Hirao
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Hideki Isozaki
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Eisaku Maeda
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Yuji Matsumoto
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Efficient Support Vector Classifiers for Named Entity Recognition
Hideki Isozaki
|
Hideto Kazawa
|
SVM Answer Selection for Open-Domain Question Answering
Jun Suzuki
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Yutaka Sasaki
|
Eisaku Maeda
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A Deterministic Word Dependency Analyzer Enhanced With Preference Learning
Hideki Isozaki
|
Hideto Kazawa
|
Tsutomu Hirao
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Japanese Unknown Word Identification by Character-based Chunking
Masayuki Asahara
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Yuji Matsumoto
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Dependency Structure Analysis and Sentence Boundary Detection in Spontaneous Japanese
Kazuya Shitaoka
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Kiyotaka Uchimoto
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Tatsuya Kawahara
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Hitoshi Isahara
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Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Improved Inference
Xu Sun
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Louis-Philippe Morency
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Daisuke Okanohara
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Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Experiments in Base-NP Chunking and Its Role in Dependency Parsing for Thai
Shisanu Tongchim
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Virach Sornlertlamvanich
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Hitoshi Isahara
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Using Web-scale N-grams to Improve Base NP Parsing Performance
Emily Pitler
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Shane Bergsma
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Dekang Lin
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Kenneth Church
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A Minimum Error Weighting Combination Strategy for Chinese Semantic Role Labeling
Tao Zhuang
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Chengqing Zong
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Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
Son Doan
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Hua Xu
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Mongolian Named Entity Recognition System with Rich Features
Weihua Wang
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Feilong Bao
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Guanglai Gao
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Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Yi Zhang
|
Xu Sun
|
Shuming Ma
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Yang Yang
|
Xuancheng Ren
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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
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Single Malt or Blended? A Study in Multilingual Parser Optimization
Johan Hall
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Jens Nilsson
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Joakim Nivre
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Gülşen Eryiǧit
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Beáta Megyesi
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Mattias Nilsson
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Markus Saers
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A Two-Stage Parser for Multilingual Dependency Parsing
Wenliang Chen
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Yujie Zhang
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Hitoshi Isahara
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Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
Marco Dinarelli
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Alessandro Moschitti
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Giuseppe Riccardi
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On the Role of Lexical Features in Sequence Labeling
Yoav Goldberg
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Michael Elhadad
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Chinese Semantic Role Labeling with Shallow Parsing
Weiwei Sun
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Zhifang Sui
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Meng Wang
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Xin Wang
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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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Bootstrapped Named Entity Recognition for Product Attribute Extraction
Duangmanee Putthividhya
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Junling Hu
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Exploiting Chunk-level Features to Improve Phrase Chunking
Junsheng Zhou
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Weiguang Qu
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Fen Zhang
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Modeling Joint Entity and Relation Extraction with Table Representation
Makoto Miwa
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Yutaka Sasaki
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Recognizing Biographical Sections in Wikipedia
Alessio Palmero Aprosio
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Sara Tonelli
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A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
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Caiming Xiong
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Yoshimasa Tsuruoka
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Richard Socher
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Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators
Aldrian Obaja Muis
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Wei Lu
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Re-Ranking Models for Spoken Language Understanding
Marco Dinarelli
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Alessandro Moschitti
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Giuseppe Riccardi
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Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data
Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Comparing and Combining Finite-State and Context-Free Parsers
Kristy Hollingshead
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Seeger Fisher
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Brian Roark
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Paradigmatic Modifiability Statistics for the Extraction of Complex Multi-Word Terms
Joachim Wermter
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Udo Hahn
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Flexible Text Segmentation with Structured Multilabel Classification
Ryan McDonald
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Koby Crammer
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Fernando Pereira
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High Efficiency Realization for a Wide-Coverage Unification Grammar
John Carroll
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Stephan Oepen
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PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples
Daisuke Kawahara
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Sadao Kurohashi
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HMM Based Chunker for Hindi
Akshay Singh
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Sushma Bendre
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Rajeev Sangal
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NIL Is Not Nothing: Recognition of Chinese Network Informal Language Expressions
Yunqing Xia
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Kam-Fai Wong
|
Wei Gao
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Combination of Machine Learning Methods for Optimum Chinese Word Segmentation
Masayuki Asahara
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Kenta Fukuoka
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Ai Azuma
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Chooi-Ling Goh
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Yotaro Watanabe
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Yuji Matsumoto
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Takashi Tsuzuki
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Achilles: NiCT/ATR Chinese Morphological Analyzer for the Fourth Sighan Bakeoff
Ruiqiang Zhang
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Eiichiro Sumita
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Bengali Named Entity Recognition Using Support Vector Machine
Asif Ekbal
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Sivaji Bandyopadhyay
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Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Xu Sun
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Wenjie Li
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Houfeng Wang
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Qin Lu
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A Comparison of Various Methods for Concept Tagging for Spoken Language Understanding
Stefan Hahn
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Patrick Lehnen
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Christian Raymond
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Hermann Ney
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Japanese Named Entity Extraction with Redundant Morphological Analysis
Masayuki Asahara
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Yuji Matsumoto
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Shallow Parsing with Conditional Random Fields
Fei Sha
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Fernando Pereira
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Shallow Semantic Parsing using Support Vector Machines
Sameer S. Pradhan
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Wayne H. Ward
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Kadri Hacioglu
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James H. Martin
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Dan Jurafsky
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Shallow Semantc Parsing of Chinese
Honglin Sun
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Daniel Jurafsky
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Parsing Arguments of Nominalizations in English and Chinese
Sameer Pradhan
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Honglin Sun
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Wayne Ward
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James H. Martin
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Daniel Jurafsky
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Reducing Weight Undertraining in Structured Discriminative Learning
Charles Sutton
|
Michael Sindelar
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Andrew McCallum
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Towards Robust Semantic Role Labeling
Sameer Pradhan
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Wayne Ward
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James Martin
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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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Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding
Yangyang Shi
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Kaisheng Yao
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Hu Chen
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Dong Yu
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Yi-Cheng Pan
|
Mei-Yuh Hwang
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An Empirical Study of Active Learning with Support Vector Machines forJapanese Word Segmentation
Manabu Sassano
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Fast Methods for Kernel-Based Text Analysis
Taku Kudo
|
Yuji Matsumoto
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A SNoW Based Supertagger with Application to NP Chunking
Libin Shen
|
Aravind K. Joshi
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Chinese Unknown Word Identification Using Character-based Tagging and Chunking
Chooi Ling Goh
|
Masayuki Asahara
|
Yuji Matsumoto
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A High-Performance Semi-Supervised Learning Method for Text Chunking
Rie Ando
|
Tong Zhang
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Boosting-based Parse Reranking with Subtree Features
Taku Kudo
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Jun Suzuki
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Hideki Isozaki
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Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE
Ryan McDonald
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Fernando Pereira
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Seth Kulick
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Scott Winters
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Yang Jin
|
Pete White
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Semantic Role Labeling Using Different Syntactic Views
Sameer Pradhan
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Wayne Ward
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Kadri Hacioglu
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James Martin
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Daniel Jurafsky
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Jointly Labeling Multiple Sequences: A Factorial HMM Approach
Kevin Duh
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Training Conditional Random Fields with Multivariate Evaluation Measures
Jun Suzuki
|
Erik McDermott
|
Hideki Isozaki
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An Empirical Study of Chinese Chunking
Wenliang Chen
|
Yujie Zhang
|
Hitoshi Isahara
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Speeding Up Full Syntactic Parsing by Leveraging Partial Parsing Decisions
Elliot Glaysher
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Dan Moldovan
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Discriminative Classifiers for Deterministic Dependency Parsing
Johan Hall
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Joakim Nivre
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Jens Nilsson
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Detection of Quotations and Inserted Clauses and Its Application to Dependency Structure Analysis in Spontaneous Japanese
Ryoji Hamabe
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Kiyotaka Uchimoto
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Tatsuya Kawahara
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Hitoshi Isahara
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Subword-Based Tagging for Confidence-Dependent Chinese Word Segmentation
Ruiqiang Zhang
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Genichiro Kikui
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Eiichiro Sumita
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An Approximate Approach for Training Polynomial Kernel SVMs in Linear Time
Yu-Chieh Wu
|
Jie-Chi Yang
|
Yue-Shi Lee
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Minimally Lexicalized Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
Jun Suzuki
|
Hideki Isozaki
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Accurate Learning for Chinese Function Tags from Minimal Features
Caixia Yuan
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Fuji Ren
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Xiaojie Wang
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Semantics-Driven Shallow Parsing for Chinese Semantic Role Labeling
Weiwei Sun
|
A Stacked Sub-Word Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
Weiwei Sun
|
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
Rafal Rak
|
BalaKrishna Kolluru
|
Sophia Ananiadou
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Smart Selection
Patrick Pantel
|
Michael Gamon
|
Ariel Fuxman
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Generalized Character-Level Spelling Error Correction
Noura Farra
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Nadi Tomeh
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Alla Rozovskaya
|
Nizar Habash
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Tuning support vector machines for biomedical named entity recognition
Jun’ichi Kazama
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Takaki Makino
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Yoshihiro Ohta
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Jun’ichi Tsujii
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Entity Extraction without Language-Specific Resources
Paul McNamee
|
James Mayfield
|
An SVM-based voting algorithm with application to parse reranking
Libin Shen
|
Aravind K. Joshi
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A Stacked, Voted, Stacked Model for Named Entity Recognition
Dekai Wu
|
Grace Ngai
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Marine Carpuat
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Japanese Zero Pronoun Resolution based on Ranking Rules and Machine Learning
Hideki Isozaki
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Tsutomu Hirao
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Virtual Examples for Text Classification with Support Vector Machines
Manabu Sassano
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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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Multi-Language Named-Entity Recognition System based on HMM
Kuniko Saito
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Masaaki Nagata
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Combining Segmenter and Chunker for Chinese Word Segmentation
Masayuki Asahara
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Chooi Ling Goh
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Xiaojie Wang
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Yuji Matsumoto
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Chinese Word Segmentation by Classification of Characters
Chooi-Ling GOH
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Masayuki Asahara
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Yuji Matsumoto
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NP Bracketing by Maximum Entropy Tagging and SVM Reranking
Hal Daumé III
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Daniel Marcu
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Semantic Role Labeling Using Support Vector Machines
Tomohiro Mitsumori
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Masaki Murata
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Yasushi Fukuda
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Kouichi Doi
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Hirohumi Doi
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Semantic Role Chunking Combining Complementary Syntactic Views
Sameer Pradhan
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Kadri Hacioglu
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Wayne Ward
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James H. Martin
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Daniel Jurafsky
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A Classifier-Based Parser with Linear Run-Time Complexity
Kenji Sagae
|
Alon Lavie
|
Chunk Parsing Revisited
Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Hybrid Models for Chinese Named Entity Recognition
Lishuang Li
|
Tingting Mao
|
Degen Huang
|
Yuansheng Yang
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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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A SVM-Based Model for Chinese Functional Chunk Parsing
Yingze Zhao
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Qiang Zhou
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Identification of Event Mentions and their Semantic Class
Steven Bethard
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James H. Martin
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Chunking Japanese Compound Functional Expressions by Machine Learning
Masatoshi Tsuchiya
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Takao Shime
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Toshihiro Takagi
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Takehito Utsuro
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Kiyotaka Uchimoto
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Suguru Matsuyoshi
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Satoshi Sato
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Seiichi Nakagawa
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Learning Dependency Relations of Japanese Compound Functional Expressions
Takehito Utsuro
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Takao Shime
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Masatoshi Tsuchiya
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Suguru Matsuyoshi
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Satoshi Sato
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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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A Supervised Learning based Chunking in Thai using Categorial Grammar
Thepchai Supnithi
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Chanon Onman
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Peerachet Porkaew
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Taneth Ruangrajitpakorn
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Kanokorn Trakultaweekool
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Asanee Kawtrakul
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An Double Hidden HMM and an CRF for Segmentation Tasks with Pinyin’s Finals
Huixing Jiang
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Zhe Dong
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Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
Yoshimasa Tsuruoka
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Yusuke Miyao
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Jun’ichi Kazama
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A Boosted Semi-Markov Perceptron
Tomoya Iwakura
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Chunking Clinical Text Containing Non-Canonical Language
Aleksandar Savkov
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John Carroll
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Jackie Cassell
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Stacked Generalization for Medical Concept Extraction from Clinical Notes
Youngjun Kim
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Ellen Riloff
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The impact of simple feature engineering in multilingual medical NER
Rebecka Weegar
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Arantza Casillas
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Arantza Diaz de Ilarraza
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Maite Oronoz
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Alicia Pérez
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Koldo Gojenola
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Improving NER for Clinical Texts by Ensemble Approach using Segment Representations
Hamada Nayel
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H. L. Shashirekha
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http://lcg-www.uia.ac.be/conll2000/chunking/
http://cl.aist-nara.ac.jp/
Field Of Study
Task
Tagging
Chunking
Text Categorization
Language
English
Japanese
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