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Efficient Support Vector Classifiers for Named Entity Recognition
Hideki Isozaki
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Hideto Kazawa
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Paper Details:
Year: 2002
Venue:
COLING |
Citations
URL
SVM Answer Selection for Open-Domain Question Answering
Jun Suzuki
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Yutaka Sasaki
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Eisaku Maeda
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A Deterministic Word Dependency Analyzer Enhanced With Preference Learning
Hideki Isozaki
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Hideto Kazawa
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Tsutomu Hirao
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Kernel Slicing: Scalable Online Training with Conjunctive Features
Naoki Yoshinaga
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Masaru Kitsuregawa
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A Self-adaptive Classifier for Efficient Text-stream Processing
Naoki Yoshinaga
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Masaru Kitsuregawa
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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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Polynomial to Linear: Efficient Classification with Conjunctive Features
Naoki Yoshinaga
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Masaru Kitsuregawa
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Bootstrapped Named Entity Recognition for Product Attribute Extraction
Duangmanee Putthividhya
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Junling Hu
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Combining Visual and Textual Features for Information Extraction from Online Flyers
Emilia Apostolova
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Noriko Tomuro
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Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism
Pengfei Cao
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Yubo Chen
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Kang Liu
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Jun Zhao
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Shengping Liu
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NIL Is Not Nothing: Recognition of Chinese Network Informal Language Expressions
Yunqing Xia
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Kam-Fai Wong
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Wei Gao
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A Framework Based on Graphical Models with Logic for Chinese Named Entity Recognition
Xiaofeng Yu
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Wai Lam
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Shing-Kit Chan
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Named Entity Recognition for Telugu
P Srikanth
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Kavi Narayana Murthy
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Improving NER in Arabic Using a Morphological Tagger
Benjamin Farber
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Dayne Freitag
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Nizar Habash
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Owen Rambow
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A Deep Neural Network based Approach for Entity Extraction in Code-Mixed Indian Social Media Text
Deepak Gupta
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Asif Ekbal
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Pushpak Bhattacharyya
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Japanese Named Entity Extraction with Redundant Morphological Analysis
Masayuki Asahara
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Yuji Matsumoto
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Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers
Emilia Apostolova
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Payam Pourashraf
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Jeffrey Sack
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Fast Methods for Kernel-Based Text Analysis
Taku Kudo
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Yuji Matsumoto
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Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data
Jun Suzuki
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Tsutomu Hirao
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Yutaka Sasaki
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Eisaku Maeda
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A Kernel PCA Method for Superior Word Sense Disambiguation
Dekai Wu
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Weifeng Su
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Marine Carpuat
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Incorporating Speech Recognition Confidence into Discriminative Named Entity Recognition of Speech Data
Katsuhito Sudoh
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Hajime Tsukada
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Hideki Isozaki
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An Approximate Approach for Training Polynomial Kernel SVMs in Linear Time
Yu-Chieh Wu
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Jie-Chi Yang
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Yue-Shi Lee
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splitSVM: Fast, Space-Efficient, non-Heuristic, Polynomial Kernel Computation for NLP Applications
Yoav Goldberg
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Michael Elhadad
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Distributional Similarity vs. PU Learning for Entity Set Expansion
Xiao-Li Li
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Lei Zhang
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Bing Liu
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See-Kiong Ng
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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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Question Classification using HDAG Kernel
Jun Suzuki
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Hirotoshi Taira
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Yutaka Sasaki
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Eisaku Maeda
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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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Single Character Chinese Named Entity Recognition
Xiaodan Zhu
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Mu Li
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Jianfeng Gao
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Chang-Ning Huang
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Using Uneven Margins SVM and Perceptron for Information Extraction
Yaoyong Li
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Kalina Bontcheva
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Hamish Cunningham
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Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains
Hong Lei Guo
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Li Zhang
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Zhong Su
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Experiments on Summary-based Opinion Classification
Elena Lloret
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Horacio Saggion
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Manuel Palomar
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Using Deep Belief Nets for Chinese Named Entity Categorization
Yu Chen
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You Ouyang
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Wenjie Li
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Dequan Zheng
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Tiejun Zhao
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Medical Entity Recognition: A Comparaison of Semantic and Statistical Methods
Asma Ben Abacha
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Pierre Zweigenbaum
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Automatic Acquisition of Huge Training Data for Bio-Medical Named Entity Recognition
Yu Usami
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Han-Cheol Cho
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Naoaki Okazaki
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Jun’ichi Tsujii
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Coupling Knowledge-Based and Data-Driven Systems for Named Entity Recognition
Damien Nouvel
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Jean-Yves Antoine
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Nathalie Friburger
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Arnaud Soulet
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Automatic Detection and Analysis of Impressive Japanese Sentences Using Supervised Machine Learning
Daiki Hazure
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Masaki Murata
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Masato Tokuhisa
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Character-based Bidirectional LSTM-CRF with words and characters for Japanese Named Entity Recognition
Shotaro Misawa
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Motoki Taniguchi
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Yasuhide Miura
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Tomoko Ohkuma
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A Feature-based Ensemble Approach to Recognition of Emerging and Rare Named Entities
Utpal Kumar Sikdar
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Björn Gambäck
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Named Entity Recognition on Code-Switched Data Using Conditional Random Fields
Utpal Kumar Sikdar
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Biswanath Barik
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Björn Gambäck
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http://cs.nyu.edu/cs/projects/proteus/irex
http://chasen.aist-nara.ac.jp/
http://cl.aist-nara.ac.jp/taku-ku/software/TinySVM
Field Of Study
Task
Tagging
Chunking
Information Extraction
Question Answering
Language
Japanese
Dataset
News
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