Notes on Presentation Format:
- Every paper will be presented as a poster. Posters should be no larger than 122cm (4ft) wide and 91cm (3ft) high. The posters will stand on a table 150cm long and 45cm deep to allow space for a laptop. One chair will also be provided at each display.
- Poster boards will be provided, along with the fasteners necessary to attach posters to the boards.
- Every paper will also be presented in a 2min spotlight talk.
- Papers marked “Oral” do not get a talk of 2 min, but a talk of 10min. These 10 min include questions and transition.
01: TOWARDS DISTRIBUTED MCMC INFERENCE IN PROBABILISTIC KNOWLEDGE BASES
Mathias Niepert, Christian Meilicke and Heiner Stuckenschmidt
02: COLLECTIVELY REPRESENTING SEMI-STRUCTURED DATA FROM THE WEB (Oral, Top 3 paper)
Bhavana Dalvi, William Cohen and Jamie Callan
05: UNSUPERVISED CONTENT DISCOVERY FROM CONCISE SUMMARIES
Horacio Saggion
08: AUTOMATIC EVALUATION OF RELATION EXTRACTION SYSTEMS ON LARGE-SCALE
Mirko Bronzi, Zhaochen Guo, Filipe Mesquita, Denilson Barbosa and Paolo Merialdo
11: RELABELING DISTANTLY SUPERVISED TRAINING DATA FOR TEMPORAL KNOWLEDGE BASE POPULATION
Suzanne Tamang and Heng Ji
12: WEB BASED COLLECTION AND COMPARISON OF COGNITIVE PROPERTIES IN ENGLISH AND CHINESE
Bin Li, Jiajun Chen and Yingjie Zhang
13: POPULATION OF A KNOWLEDGE BASE FOR NEWS METADATA FROM UNSTRUCTURED TEXT AND WEB DATA
Rosa Stern and Benoît Sagot
14: REAL-TIME POPULATION OF KNOWLEDGE BASES: OPPORTUNITIES AND CHALLENGES (Oral, Top 3 paper)
Ndapandula Nakashole and Gerhard Weikum
15: ADDING DISTRIBUTIONAL SEMANTICS TO KNOWLEDGE BASE ENTITIES THROUGH WEB-SCALE ENTITY LINKING
Matt Gardner
16: KRAKEN: N-ARY FACTS IN OPEN INFORMATION EXTRACTION
Alan Akbik and Alexander Löser
18: STRUCTURAL LINGUISTICS AND UNSUPERVISED INFORMATION EXTRACTION
Ralph Grishman
19: A CONTEXT-AWARE APPROACH TO ENTITY LINKING
Veselin Stoyanov, James Mayfield, Tan Xu, Douglas Oard, Dawn Lawrie, Tim Oates and Tim Finin
20: EVALUATING THE QUALITY OF A KNOWLEDGE BASE POPULATED FROM TEXT
James Mayfield and Tim Finin
23: CONSTRUCTING A TEXTUAL KB FROM A BIOLOGY TEXTBOOK
Peter Clark, Phil Harrison, Niranjan Balasubramanian and Oren Etzioni
24: KNOWLEDGE EXTRACTION AND JOINT INFERENCE USING TRACTABLE MARKOV LOGIC
Chloé Kiddon and Pedro Domingos
25: ENTITY LINKING AT WEB SCALE
Thomas Lin, Mausam and Oren Etzioni
26: HUMAN-MACHINE COOPERATION: SUPPORTING USER CORRECTIONS TO AUTOMATICALLY CONSTRUCTED KBS (Oral, Top 3 paper)
Michael Wick, Karl Schultz and Andrew McCallum
28: ANNOTATED GIGAWORD
Courtney Napoles, Matthew Gormley and Benjamin Van Durme
29: REL-GRAMS: A PROBABILISTIC MODEL OF RELATIONS IN TEXT
Niranjan Balasubramanian, Stephen Soderland, Mausam and Oren Etzioni
31: AUTOMATIC KNOWLEDGE BASE CONSTRUCTION USING PROBABILISTIC EXTRACTION, DEDUCTIVE REASONING, AND HUMAN FEEDBACK
Daisy Zhe Wang, Yang Chen, Sean Goldberg, Christan Grant and Kun Li
32: MONTE CARLO MCMC: EFFICIENT INFERENCE BY SAMPLING FACTORS
Sameer Singh, Michael Wick and Andrew McCallum
33: PROBABILISTIC DATABASES OF UNIVERSAL SCHEMA
Limin Yao, Sebastian Riedel and Andrew McCallum
35: USING TEXTUAL PATTERNS TO LEARN EXPECTED EVENT FREQUENCIES
Jonathan Gordon and Lenhart Schubert
