1.6k citations · 3.7k across the 33 of their papers we have counts for
25 papers · 1 filter
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…
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…
Coherent Keyphrase Extraction via Web Mining
Peter D. Turney
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task of automatic k…
Learning 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…
Robust Classification with Context-Sensitive Features
Peter D. Turney
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the trai…