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Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks
Partha Pratim Talukdar
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Joseph Reisinger
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Marius Paşca
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Deepak Ravichandran
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Rahul Bhagat
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Fernando Pereira
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Paper Details:
Month: October
Year: 2008
Location: Honolulu, Hawaii
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
FactRank: Random Walks on a Web of Facts
Alpa Jain
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Patrick Pantel
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Co-STAR: A Co-training Style Algorithm for Hyponymy Relation Acquisition from Structured and Unstructured Text
Jong-Hoon Oh
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Ichiro Yamada
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Kentaro Torisawa
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Stijn De Saeger
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The Role of Queries in Ranking Labeled Instances Extracted from Text
Marius Paşca
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A Probabilistic Co-Bootstrapping Method for Entity Set Expansion
Bei Shi
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Zhenzhong Zhang
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Le Sun
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Xianpei Han
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Entity Extraction via Ensemble Semantics
Marco Pennacchiotti
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Patrick Pantel
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Class Label Enhancement via Related Instances
Zornitsa Kozareva
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Konstantin Voevodski
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Shanghua Teng
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No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
Thomas Lin
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Mausam
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Oren Etzioni
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Ensemble Semantics for Large-scale Unsupervised Relation Extraction
Bonan Min
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Shuming Shi
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Ralph Grishman
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Chin-Yew Lin
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Open-Domain Fine-Grained Class Extraction from Web Search Queries
Marius Paşca
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Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features
Marc Schulder
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Michael Wiegand
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Josef Ruppenhofer
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Benjamin Roth
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Opinion Holder and Target Extraction based on the Induction of Verbal Categories
Michael Wiegand
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Josef Ruppenhofer
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Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds
Zornitsa Kozareva
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Eduard Hovy
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Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach
Michael Wiegand
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Christine Bocionek
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Josef Ruppenhofer
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Inducing a Lexicon of Abusive Words – a Feature-Based Approach
Michael Wiegand
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Josef Ruppenhofer
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Anna Schmidt
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Clayton Greenberg
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Learning 5000 Relational Extractors
Raphael Hoffmann
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Congle Zhang
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Daniel S. Weld
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Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition
Partha Pratim Talukdar
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Fernando Pereira
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Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
Zornitsa Kozareva
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Eduard Hovy
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Ranking Class Labels Using Query Sessions
Marius Paşca
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Typed Graph Models for Learning Latent Attributes from Names
Delip Rao
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David Yarowsky
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Graph-based Semi-Supervised Learning Algorithms for NLP
Amar Subramanya
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Partha Pratim Talukdar
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Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
Xiaodong Zeng
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Derek F. Wong
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Lidia S. Chao
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Isabel Trancoso
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Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation
Majid Razmara
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Maryam Siahbani
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Reza Haffari
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Anoop Sarkar
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Structured Learning for Taxonomy Induction with Belief Propagation
Mohit Bansal
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David Burkett
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Gerard de Melo
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Dan Klein
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How Well can We Learn Interpretable Entity Types from Text?
Dirk Hovy
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Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels
Claudio Giuliano
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No URLs Found
Field Of Study
Task
Language Understanding
Named Entity Recognition
Information Extraction
Language
English
Dataset
Query Logs
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