activity
19952021
most citedFrom Frequency to Meaning: Vector Space Models of Semantics

2.9k citations · 7.4k across the 60 of their papers we have counts for

collaborators
Showing cs.LGShow all

27 papers · 1 filter

cs.LG2013

Distributional semantics beyond words: Supervised learning of analogy and paraphrase

Peter D. Turney

There have been several efforts to extend distributional semantics beyond individual words, to measure the similarity of word pairs, phrases, and sentences (briefly, tuples; ordere…

cs.LG2007★ 31 cited

Empirical Evaluation of Four Tensor Decomposition Algorithms

Peter D. Turney

Higher-order tensor decompositions are analogous to the familiar Singular Value Decomposition (SVD), but they transcend the limitations of matrices (second-order tensors). SVD is a…

cs.LG2005★ 15 cited

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…

cs.LG2005★ 168 cited

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…

cs.LG2005

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…

cs.LG2003★ 160 cited

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…