Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches
Papers from the 2015 AAAI Spring Symposium
Evgeniy Gabrilovich, Ramanathan Guha, Andrew McCallum, Kevin Murphy,, Program Chair
Technical Report SS-15-03
Published by The AAAI Press, Palo Alto, California.
This technical report is also available in book format.
Contents
Distributional Semantic Features as Semantic Primitives — Or Not
Gemma Boleda, Katrin Erk
On Approximate Reasoning Capabilities of Low-Rank Vector Spaces
Guillaume Bouchard, Sameer Singh, Théo Trouillon
Learning Distributed Word Representations for Natural Logic Reasoning
Samuel R. Bowman, Christopher Potts, Christopher D. Manning
Probability Distributions over Structured Spaces
Arthur Choi, Guy Van den Broeck, Adnan Darwiche
Neural-Symbolic Learning and Reasoning: Contributions and Challenges
Artur d'Avila Garcez, Tarek R. Besold, Luc de Raedt, Peter Földiak, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luis C. Lamb, Risto Miikkulainen, Daniel L. Silver
Towards A Model Theory for Distributed Representations
Ramanathan Guha
Towards Ontologies in Variation
Torsten Hahmann, Sheila A. McIlraith
Compositional Vector Space Models for Knowledge Base Inference
Arvind Neelakantan, Benjamin Roth, Andrew McCallum
Towards Extracting Faithful and Descriptive Representations of Latent Variable Models
Vicente Iván Sánchez Carmona, Tim Rocktäschel, Sebastian Riedel, Sameer Singh
Enriching Word Embeddings Using Knowledge Graph for Semantic Tagging in Conversational Dialog Systems
Asli Celikyilmaz, Dilek Hakkani-Tur, Panupong Pasupat, Ruhi Sarikaya
Latent Predicate Networks: Concept Learning with Probabilistic Context-Sensitive Grammars
Eyal Dechter, Joshua Rule, Joshua B. Tenenbaum
Dimensionality Reduction via Program Induction
Kevin Ellis, Eyal Dechter, Joshua B. Tenenbaum
Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses
Manoel Vitor Macedo Franca, Gerson Zaverucha, Artur S. d'Avila Garcez
Distributional-Relational Models: Scalable Semantics for Databases
Andre Freitas, Siegfried Handschuh, Edward Curry
Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text
Matt Gardner, Partha Talukdar, Tom Mitchell
Probabilistic Region Connection Calculus
Codruta Liliana Girlea, Eyal Amir
A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang, Leonid Sigal
Towards Learning a Knowledge Base of Actions from Experiential Microblogs
Emre Kiciman
FoxPSL: An Extended and Scalable PSL Implementation
Sara Magliacane, Philip Stutz, Paul Groth, Abraham Bernstein
Learning Probabilistic Logic Models with Human Advice
Phillip Odom, Tushar Khot, Sriraam Natarajan
Commonsense Reasoning Based on Betweenness and Direction in Distributional Models
Steven Schockaert, Joaquín Derrac
Towards High-Level Probabilistic Reasoning with Lifted Inference
Guy Van den Broeck
CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot
Shiqi Zhang, Peter Stone
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