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Collective Cross-Document Relation Extraction Without Labelled Data
Limin Yao
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Sebastian Riedel
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Andrew McCallum
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Paper Details:
Month: October
Year: 2010
Location: Cambridge, MA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Linking Named Entities to Any Database
Avirup Sil
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Ernest Cronin
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Penghai Nie
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Yinfei Yang
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Ana-Maria Popescu
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Alexander Yates
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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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Combining Generative and Discriminative Model Scores for Distant Supervision
Benjamin Roth
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Dietrich Klakow
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Joint Inference for Knowledge Base Population
Liwei Chen
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Yansong Feng
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Jinghui Mo
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Songfang Huang
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Dongyan Zhao
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Identifying civilians killed by police with distantly supervised entity-event extraction
Katherine Keith
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Abram Handler
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Michael Pinkham
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Cara Magliozzi
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Joshua McDuffie
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Brendan O’Connor
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Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Heike Adel
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Hinrich Schütze
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Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge
Bonan Min
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Marjorie Freedman
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Talya Meltzer
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Noise Mitigation for Neural Entity Typing and Relation Extraction
Yadollah Yaghoobzadeh
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Heike Adel
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Hinrich Schütze
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Event Linking with Sentential Features from Convolutional Neural Networks
Sebastian Krause
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Feiyu Xu
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Hans Uszkoreit
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Dirk Weissenborn
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Multi-Event Extraction Guided by Global Constraints
Roi Reichart
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Regina Barzilay
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Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives
Attapol Rutherford
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Nianwen Xue
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Event Discovery in Social Media Feeds
Edward Benson
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Aria Haghighi
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Regina Barzilay
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In-domain Relation Discovery with Meta-constraints via Posterior Regularization
Harr Chen
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Edward Benson
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Tahira Naseem
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Regina Barzilay
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Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations
Raphael Hoffmann
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Congle Zhang
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Xiao Ling
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Luke Zettlemoyer
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Daniel S. Weld
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Reducing Wrong Labels in Distant Supervision for Relation Extraction
Shingo Takamatsu
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Issei Sato
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Hiroshi Nakagawa
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Big Data versus the Crowd: Looking for Relationships in All the Right Places
Ce Zhang
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Feng Niu
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Christopher Ré
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Jude Shavlik
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Encoding Relation Requirements for Relation Extraction via Joint Inference
Liwei Chen
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Yansong Feng
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Songfang Huang
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Yong Qin
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Dongyan Zhao
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Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction
Xianpei Han
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Le Sun
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Embedding Methods for Fine Grained Entity Type Classification
Dani Yogatama
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Daniel Gillick
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Nevena Lazic
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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
Rajarshi Das
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Manzil Zaheer
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Siva Reddy
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Andrew McCallum
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Customizing an Information Extraction System to a New Domain
Mihai Surdeanu
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David McClosky
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Mason Smith
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Andrey Gusev
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Christopher Manning
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Improving Distantly Supervised Extraction of Drug-Drug and Protein-Protein Interactions
Tamara Bobić
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Roman Klinger
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Philippe Thomas
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Martin Hofmann-Apitius
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Towards Automatic Construction of Knowledge Bases from Chinese Online Resources
Liwei Chen
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Yansong Feng
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Yidong Chen
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Lei Zou
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Dongyan Zhao
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Dynamic Knowledge-Base Alignment for Coreference Resolution
Jiaping Zheng
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Luke Vilnis
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Sameer Singh
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Jinho D. Choi
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Andrew McCallum
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Application-Driven Relation Extraction with Limited Distant Supervision
Andreas Vlachos
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Stephen Clark
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Seed Selection for Distantly Supervised Web-Based Relation Extraction
Isabelle Augenstein
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Coreference Resolution for Swedish and German using Distant Supervision
Alexander Wallin
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Pierre Nugues
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http://opennlp.sourceforge.net/
Field Of Study
Task
Relation Extraction
Biomedical
Approach
Graphical Model
Language
English
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