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Language Independent NER using a Maximum Entropy Tagger
James Curran
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Stephen Clark
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Paper Details:
Year: 2003
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
A Semantic Network Approach to Measuring Relatedness
Brian Harrington
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Multi-Document Summarisation Using Generic Relation Extraction
Ben Hachey
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Analysing Wikipedia and Gold-Standard Corpora for NER Training
Joel Nothman
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Tara Murphy
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James R. Curran
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Comparing Knowledge Sources for Nominal Anaphora Resolution
Katja Markert
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Malvina Nissim
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Error Analysis for Learning-based Coreference Resolution
Olga Uryupina
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Exploiting Multiply Annotated Corpora in Biomedical Information Extraction Tasks
Barry Haddow
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Beatrice Alex
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IXA pipeline: Efficient and Ready to Use Multilingual NLP tools
Rodrigo Agerri
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Josu Bermudez
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German Rigau
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Incorporating Lexico-semantic Heuristics into Coreference Resolution Sieves for Named Entity Recognition at Document-level
Marcos Garcia
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Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Gustavo Aguilar
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Adrian Pastor López-Monroy
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Fabio González
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Thamar Solorio
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A Machine Learning Approach to German Pronoun Resolution
Beata Kouchnir
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Logarithmic Opinion Pools for Conditional Random Fields
Andrew Smith
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Trevor Cohn
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Miles Osborne
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Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Jenny Rose Finkel
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Trond Grenager
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Christopher Manning
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An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
Vijay Krishnan
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Christopher D. Manning
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Linguistically Motivated Large-Scale NLP with C&C and Boxer
James Curran
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Stephen Clark
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Johan Bos
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Joint Apposition Extraction with Syntactic and Semantic Constraints
Will Radford
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James R. Curran
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Recognizing Complex Entity Mentions: A Review and Future Directions
Xiang Dai
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Edinburgh-LTG: TempEval-2 System Description
Claire Grover
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Richard Tobin
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Beatrice Alex
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Kate Byrne
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Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Erik F. Tjong Kim Sang
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Fien De Meulder
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A Rhetorical Status Classifier for Legal Text Summarisation
Ben Hachey
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Claire Grover
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Exploiting Context for Biomedical Entity Recognition: From Syntax to the Web
Jenny Finkel
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Shipra Dingare
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Huy Nguyen
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Malvina Nissim
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Christopher Manning
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Gail Sinclair
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The HOLJ Corpus. Supporting Summarisation of Legal Texts
Claire Grover
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Ben Hachey
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Ian Hughson
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Dimensionality Reduction Aids Term Co-Occurrence Based Multi-Document Summarization
Ben Hachey
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Gabriel Murray
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David Reitter
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Tools to Address the Interdependence between Tokenisation and Standoff Annotation
Claire Grover
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Michael Matthews
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Richard Tobin
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Using Gazetteers in Discriminative Information Extraction
Andrew Smith
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Miles Osborne
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Recognising Nested Named Entities in Biomedical Text
Beatrice Alex
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Barry Haddow
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Claire Grover
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The Extraction of Enriched Protein-Protein Interactions from Biomedical Text
Barry Haddow
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Michael Matthews
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Using Automated Feature Optimisation to Create an Adaptable Relation Extraction System
Barry Haddow
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Topic Indexing and Retrieval for Factoid QA
Kisuh Ahn
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Bonnie Webber
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The Web is not a PERSON, Berners-Lee is not an ORGANIZATION, and African-Americans are not LOCATIONS: An Analysis of the Performance of Named-Entity Recognition
Robert Krovetz
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Paul Deane
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Nitin Madnani
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GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks
Mohammed Attia
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Younes Samih
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Wolfgang Maier
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No URLs Found
Field Of Study
Task
Tagging
Chunking
Language
English
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