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Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models
Sameer Singh
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Amarnag Subramanya
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Fernando Pereira
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Andrew McCallum
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Paper Details:
Month: June
Year: 2011
Location: Portland, Oregon, USA
Venue:
ACL |
Citations
URL
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
Sameer Singh
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Michael Wick
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Andrew McCallum
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Entity Clustering Across Languages
Spence Green
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Nicholas Andrews
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Matthew R. Gormley
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Mark Dredze
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Christopher D. Manning
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A Discriminative Hierarchical Model for Fast Coreference at Large Scale
Michael Wick
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Sameer Singh
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Andrew McCallum
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A Probabilistic Model for Canonicalizing Named Entity Mentions
Dani Yogatama
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Yanchuan Sim
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Noah A. Smith
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Entity Linking for Tweets
Xiaohua Liu
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Yitong Li
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Haocheng Wu
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Ming Zhou
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Furu Wei
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Yi Lu
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Robust Entity Clustering via Phylogenetic Inference
Nicholas Andrews
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Jason Eisner
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Mark Dredze
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Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering
Jianbo Ye
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Yanran Li
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Zhaohui Wu
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James Z. Wang
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Wenjie Li
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Jia Li
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Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment
Sourav Dutta
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Gerhard Weikum
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Structured Databases of Named Entities from Bayesian Nonparametrics
Jacob Eisenstein
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Tae Yano
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William Cohen
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Noah Smith
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Eric Xing
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http://en.wikipedia.org/Hillary_Clinton
Field Of Study
Task
Information Extraction
Coreference Resolution
Approach
Bayesian Model
Graphical Model
Semi-supervised Learning
Language
English
Dataset
News
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