Named Entity Recognition Using Appropriate Unlabeled Data, Post-processing and Voting

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Informatica

• Publication date

  Unknown publication date

• Fields of study

  Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Proceedings of CoNLL-2009

  2009cited by this paper
• Named entities : recognition, classification and use

  2009influential reference
• Maximum Entropy Approach for Named Entity Recognition in Bengali and Hindi

  2009cited by this paper
• A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition

  2008cited by this paper
• Aggregating Machine Learning and Rule Based Heuristics for Named Entity Recognition

  2008cited by this paper
• A Character n-gram Based Approach for Improved Recall in Indian Language NER

  2008cited by this paper
• Domain Focused Named Entity Recognizer for Tamil Using Conditional Random Fields

  2008cited by this paper
• Web-Based Bengali News Corpus for Lexicon Development and POS Tagging

  2008cited by this paper
• A Hybrid Named Entity Recognition System for South and South East Asian Languages

  2008cited by this paper
• Named Entity Recognition for Telugu

  2008cited by this paper
• Bengali Named Entity Recognition Using Support Vector Machine

  2008cited by this paper
• A web-based Bengali news corpus for named entity recognition

  2008influential reference
• Named Entity Recognition in Bengali: A Conditional Random Field Approach

  2008cited by this paper
• Named Entity Recognition and transliteration in Bengali

  2007cited by this paper
• Extracting Named Entities Using Support Vector Machines

  2006cited by this paper
• Data Selection in Semi-supervised Learning for Name Tagging

  2006cited by this paper
• Name Tagging with Word Clusters and Discriminative Training

  2004cited by this paper
• Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution

  2004cited by this paper
• Bootstrapped Learning of Semantic Classes from Positive and Negative Examples

  2003cited by this paper
• Named Entity Recognition through Classifier Combination

  2003cited by this paper
• Rapid development of Hindi named entity recognition using conditional random fields and feature induction

  2003cited by this paper
• A Stacked, Voted, Stacked Model for Named Entity Recognition

  2003cited by this paper
• Association rules mining for name entity recognition

  2003cited by this paper
• Improving Machine Translation Quality with Automatic Named Entity Recognition

  2003cited by this paper
• Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons

  2003cited by this paper
• Japanese Named Entity Extraction with Redundant Morphological Analysis

  2003cited by this paper
• Unsupervised Learning of Generalized Names

  2002cited by this paper
• Exploiting Strong Syntactic Heuristics and Co-Training to Learn Semantic Lexicons

  2002cited by this paper
• Language Independent NER using a Unified Model of Internal and Contextual Evidence

  2002cited by this paper
• Named Entity Recognition using an HMM-based Chunk Tagger

  2002cited by this paper
• Japanese named entity extraction using support vector machine

  2002cited by this paper
• Use of Support Vector Machines in Extended Named Entity Recognition

  2002cited by this paper
• A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts

  2002cited by this paper
• LCC Tools for Question Answering

  2002cited by this paper
• Unsupervised Named Entity Classification Models and their Ensembles

  2002cited by this paper
• Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

  2001cited by this paper
• Chunking with Support Vector Machines

  2001cited by this paper
• Japanese Named Entity Extraction using Support Vector Machines

  2001cited by this paper
• RULE-BASED NAMED ENTITY RECOGNITION FOR GREEK FINANCIAL TEXTS

  2000cited by this paper
• TnT – A Statistical Part-of-Speech Tagger

  2000cited by this paper
• A Hybrid Approach for Named Entity and Sub-Type Tagging

  2000cited by this paper
• The Nature of Statistical Learning Theory

  2000cited by this paper
• Using Learning-based Filters to Detect Rule-based Filtering Obsolescence

  2000cited by this paper
• Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, EMNLP 2000, Hong Kong, October 7-8, 2000

  2000cited by this paper
• Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence

  1999cited by this paper
• Named Entity Recognition without Gazetteers

  1999cited by this paper
• A Maximum Entropy Approach to Named Entity Recognition

  1999cited by this paper
• Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping

  1999cited by this paper
• Unsupervised Models for Named Entity Classification

  1999cited by this paper
• An Algorithm that Learns What's in a Name

  1999cited by this paper
• Description of the LTG System Used for MUC-7

  1998cited by this paper
• University of Sheffield: Description of the LaSIE-II System as Used for MUC-7

  1998cited by this paper
• Description of the Japanese NE System Used for MET-2

  1998cited by this paper
• BBN: Description of the SIFT System as Used for MUC-7

  1998cited by this paper
• SRA: Description of the IE2 System Used for MUC-7

  1998cited by this paper
• NYU: Description of the MENE Named Entity System as Used in MUC-7

  1998cited by this paper
• Learning to Tag Multilingual Texts Through Observation

  1997cited by this paper
• A Self-Learning Universal Concept Spotter

  1996cited by this paper
• GATE-a General Architecture for Text Engineering

  1996cited by this paper
• The NYU System for MUC-6 or Where’s the Syntax?

  1995cited by this paper
• Automatic Processing of Proper Names in Texts

  1995cited by this paper
• FASTUS: A Finite-state Processor for Information Extraction from Real-world Text

  1993cited by this paper
• Appropriate Unlabeled Data , Post-processing and Voting can Improve the Performance of a NER System

  year unknowncited by this paper

• Survey Report on Named Entity Recognition in Bengali

  2025influential citation
• Word Embedding and String-Matching Techniques for Automobile Entity Name Identification from Web Reviews

  2021influential citation
• A comprehensive survey on Indian regional language processing

  2020cites this paper
• Named Entity Recognition Among Chinese MicroBlog Based on Cascaded CRF

  2018cites this paper
• A Survey on Named Entity Recognition of the Indian Languages with special reference to Manipuri

  2018cites this paper
• Study of Named Entity Recognition for Indian Languages

  2016cites this paper
• A survey on the state-of-the-art machine learning models in the context of NLP

  2016cites this paper
• Elimination of person names in spoken documents for privacy protection

  2014cites this paper
• Named Entity Recognition for Nepali Text Using Support Vector Machines

  2014cites this paper
• RANSLITERATION USING SVM

  2013cites this paper
• Emotion Co-referencing - Emotional Expression, Holder, and Topic

  2013cites this paper
• Named-Entity Recognition in Bengali

  2013cites this paper
• Named Entity Recognition in Manipuri: A Hybrid Approach

  2013cites this paper
• Holder and Topic Based Analysis of Emotions on Blog Texts: A Case Study for Bengali

  2013cites this paper
• HINDI AND MARATHI TO ENGLISH MACHINE TRANSLITERATION USING SVM

  2013cites this paper
• Optimizing Transliteration for Hindi/Marathi to English Using only Two Weights

  2012cites this paper
• Arabic Named Entity Recognition: A Corpus-Based Study

  2012cites this paper
• Design And Development Of A Named Entity Based Question Answering System For Malayalam Language

  2012cites this paper
• Hindi to English Machine Transliteration of Named Entities using Conditional Random Fields

  2012cites this paper
• Emotions on Bengali Blog Texts: Role of Holder and Topic

  2011cites this paper
• Named Entity Recognizer employing Multiclass Support Vector Machines for the Development of Question Answering Systems

  2011cites this paper
• Named Entity Identifier for Malayalam Using Linguistic Principles Employing Statistical Methods

  2011cites this paper
• Discerning Emotions of Bloggers based on Topics – a Supervised Coreference Approach in Bengali

  2010cites this paper
• Computational Linguistics & Chinese Language Processing Aims and Scope on the Use of Speech Recognition Techniques to Identify Bird a Novel Approach for Handling Unknown Word Problem in Chinese-vietnamese Machine Translation

  year unknowncites this paper
• A New Ensemble Semi-supervised Self-labeled Algorithm

  year unknowncites this paper