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Improved Pattern Learning for Bootstrapped Entity Extraction
Sonal Gupta
|
Christopher Manning
|
Paper Details:
Month: June
Year: 2014
Location: Ann Arbor, Michigan
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
Structured Aspect Extraction
Omer Gunes
|
Tim Furche
|
Giorgio Orsi
|
A Practical Incremental Learning Framework For Sparse Entity Extraction
Hussein Al-Olimat
|
Steven Gustafson
|
Jason Mackay
|
Krishnaprasad Thirunarayan
|
Amit Sheth
|
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
Ajay Nagesh
|
Mihai Surdeanu
|
Corpus-level Fine-grained Entity Typing Using Contextual Information
Yadollah Yaghoobzadeh
|
Hinrich Schütze
|
Visual Supervision in Bootstrapped Information Extraction
Matthew Berger
|
Ajay Nagesh
|
Joshua Levine
|
Mihai Surdeanu
|
Helen Zhang
|
Bootstrapping Polar-Opposite Emotion Dimensions from Online Reviews
Luwen Huangfu
|
Mihai Surdeanu
|
Distributed Representations of Words to Guide Bootstrapped Entity Classifiers
Sonal Gupta
|
Christopher D. Manning
|
Joint Bootstrapping Machines for High Confidence Relation Extraction
Pankaj Gupta
|
Benjamin Roth
|
Hinrich Schütze
|
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift
Ajay Nagesh
|
Mihai Surdeanu
|
Scalable Construction and Reasoning of Massive Knowledge Bases
Xiang Ren
|
Nanyun Peng
|
William Yang Wang
|
SPIED: Stanford Pattern based Information Extraction and Diagnostics
Sonal Gupta
|
Christopher Manning
|
Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing
Yadollah Yaghoobzadeh
|
Katharina Kann
|
Hinrich Schütze
|
http://nlp.stanford.edu/
http://nlp.stanford.edu/software/
http://storage.googleapis.com/books/
Field Of Study
Task
Information Extraction
Language
English
Dataset
Twitter
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