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Learning Entailment Relations by Global Graph Structure Optimization
Structure Optimization Entailment Relations
2015/9/10
Identifying entailment relations between predicates is an important part of applied semantic
inference. In this article we propose a global inference algorithm that learns such entailment
rules. Fir...
A Graph-Theoretic Framework for Semantic Distance
Semantic Distance Graph-Theoretic Framework
2015/9/8
Many NLP applications entail that texts are classified based on their semantic distance (how
similar or different the texts are). For example, comparing the text of a new document to that of
d...
We present a system for deciding whether a given sentence can be inferred from text. Each sentence is represented as a directed graph (extracted from a dependency parser) in which the nodes represent ...
Graph Relational Features for Speaker Recognition and Mining
Speaker Recognition Speaker Mining
2015/3/9
Graph Relational Features for Speaker Recognition and Mining.
Graph-based Re-ranking using Acoustic Feature Similarity between Search Results for Spoken Term Detection on Low-resource Languages
Random Walk Spoken Term Detection
2015/3/9
Graph-based Re-ranking using Acoustic Feature Similarity between Search Results for Spoken Term Detection on Low-resource Languages.