168 citations · 205 across the 6 of their papers we have counts for
6 papers
Corpus-based Learning of Analogies and Semantic Relations
Peter D. Turney, Michael L. Littman
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that can solve verbal analogy questions of the kind found…
Measuring Semantic Similarity by Latent Relational Analysis
Peter D. Turney
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. Wh…
Self-Replicating Strands that Self-Assemble into User-Specified Meshes
Robert Ewaschuk, Peter Turney
It has been argued that a central objective of nanotechnology is to make products inexpensively, and that self-replication is an effective approach to very low-cost manufacturing.…
Combining Independent Modules in Lexical Multiple-Choice Problems
Peter D. Turney, Michael L. Littman, Jeffrey Bigham +1
Existing statistical approaches to natural language problems are very coarse approximations to the true complexity of language processing. As such, no single technique will be best…
Human-Level Performance on Word Analogy Questions by Latent Relational Analysis
Peter D. Turney
This paper introduces Latent Relational Analysis (LRA), a method for measuring relational similarity. LRA has potential applications in many areas, including information extraction…
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
Peter D. Turney
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system a…