论文信息 - Distributional Relational Networks

Distributional Relational Networks

This work introduces Distributional Relational Networks (DRNs), a Knowledge Representation (KR) framework which focuses on allowing semantic approximations over large-scale and heterogeneous knowledge bases. The proposed model uses the distributional semantics information embedded in large text/data corpora to provide a comprehensive and principled solution for semantic approximation. DRNs can be applied to open domain knowledge bases and can be used as a KR model for commonsense reasoning. Experimental results show the suitability of DRNs as a semantically flexible KR framework.

Seán O'Riain | André Freitas | Edward Curry | João Carlos Pereira da Silva

[1] Stephen Clark,et al. Combining Symbolic and Distributional Models of Meaning , 2007, AAAI Spring Symposium: Quantum Interaction.

[2] Stephen Clark,et al. Mathematical Foundations for a Compositional Distributional Model of Meaning , 2010, ArXiv.

[3] Alessandro Lenci,et al. Distributional Memory: A General Framework for Corpus-Based Semantics , 2010, CL.

[4] Seán O'Riain,et al. A Distributional Structured Semantic Space for Querying RDF Graph Data , 2011, Int. J. Semantic Comput..

[5] Philip Resnik,et al. Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[6] Evgeniy Gabrilovich,et al. Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis , 2007, IJCAI.

[7] Seán O'Riain,et al. A distributional approach for terminological semantic search on the Linked Data Web , 2012, SAC '12.

[8] Katrin Erk,et al. A Structured Vector Space Model for Word Meaning in Context , 2008, EMNLP.

[9] Patrick Pantel,et al. From Frequency to Meaning: Vector Space Models of Semantics , 2010, J. Artif. Intell. Res..