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Easy-first Coreference Resolution
Veselin Stoyanov
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Jason Eisner
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Paper Details:
Month: December
Year: 2012
Location: Mumbai, India
Venue:
COLING |
Citations
URL
An Entity-Centric Coreference Resolution System for Person Entities with Rich Linguistic Information
Marcos Garcia
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Pablo Gamallo
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Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
Pankaj Gupta
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Hinrich Schütze
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Bernt Andrassy
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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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Prune-and-Score: Learning for Greedy Coreference Resolution
Chao Ma
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Janardhan Rao Doppa
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J. Walker Orr
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Prashanth Mannem
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Xiaoli Fern
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Tom Dietterich
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Prasad Tadepalli
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Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins
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Julia Kreutzer
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Sanaphor++: Combining Deep Neural Networks with Semantics for Coreference Resolution
Julien Plu
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Roman Prokofyev
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Alberto Tonon
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Philippe Cudré-Mauroux
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Djellel Eddine Difallah
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Raphaël Troncy
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Giuseppe Rizzo
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Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features
Anders Björkelund
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Jonas Kuhn
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Entity-Centric Coreference Resolution with Model Stacking
Kevin Clark
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Christopher D. Manning
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Improving Coreference Resolution by Learning Entity-Level Distributed Representations
Kevin Clark
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Christopher D. Manning
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Latent Structures for Coreference Resolution
Sebastian Martschat
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Michael Strube
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A State-of-the-Art Mention-Pair Model for Coreference Resolution
Olga Uryupina
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Alessandro Moschitti
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No URLs Found
Field Of Study
Linguistic Trends
Discourse
Task
Coreference Resolution
Language
English
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