Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX)

Towards Distributed MCMC Inference in Probabilistic Knowledge Bases
Mathias Niepert | Christian Meilicke | Heiner Stuckenschmidt

Collectively Representing Semi-Structured Data from the Web
Bhavana Dalvi | William Cohen | Jamie Callan

Unsupervised Content Discovery from Concise Summaries
Horacio Saggion

Automatic Evaluation of Relation Extraction Systems on Large-scale
Mirko Bronzi | Zhaochen Guo | Filipe Mesquita | Denilson Barbosa | Paolo Merialdo

Relabeling Distantly Supervised Training Data for Temporal Knowledge Base Population
Suzanne Tamang | Heng Ji

Web Based Collection and Comparison of Cognitive Properties in English and Chinese
Bin Li | Jiajun Chen | Yingjie Zhang

Population of a Knowledge Base for News Metadata from Unstructured Text and Web Data
Rosa Stern | Benoît Sagot

Real-time Population of Knowledge Bases: Opportunities and Challenges
Ndapandula Nakashole | Gerhard Weikum

Adding Distributional Semantics to Knowledge Base Entities through Web-scale Entity Linking
Matt Gardner

KrakeN: N-ary Facts in Open Information Extraction
Alan Akbik | Alexander Löser

Structural Linguistics and Unsupervised Information Extraction
Ralph Grishman

Evaluating the Quality of a Knowledge Base Populated from Text
James Mayfield | Tim Finin

Constructing a Textual KB from a Biology TextBook
Peter Clark | Phil Harrison | Niranjan Balasubramanian | Oren Etzioni

Knowledge Extraction and Joint Inference Using Tractable Markov Logic
Chloé Kiddon | Pedro Domingos

Entity Linking at Web Scale
Thomas Lin | Mausam | Oren Etzioni

Human-Machine Cooperation: Supporting User Corrections to Automatically Constructed KBs
Michael Wick | Karl Schultz | Andrew McCallum

Annotated Gigaword
Courtney Napoles | Matthew Gormley | Benjamin Van Durme

Rel-grams: A Probabilistic Model of Relations in Text
Niranjan Balasubramanian | Stephen Soderland | Mausam | Oren Etzioni

Automatic Knowledge Base Construction using Probabilistic Extraction, Deductive Reasoning, and Human Feedback
Daisy Zhe Wang | Yang Chen | Sean Goldberg | Christan Grant | Kun Li

Monte Carlo MCMC: Efficient Inference by Sampling Factors
Sameer Singh | Michael Wick | Andrew McCallum

Probabilistic Databases of Universal Schema
Limin Yao | Sebastian Riedel | Andrew McCallum

Using Textual Patterns to Learn Expected Event Frequencies
Jonathan Gordon | Lenhart Schubert