Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 235,712,895 papers from all fields of science
Search
Sign In
Create Free Account
Distributional semantics
Known as:
Distribution
, Distributional hypothesis
Distributional semantics is a research area that develops and studies theories and methods for quantifying and categorizing semantic similarities…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
15 relations
Cognitive science
Cosine similarity
George Furnas
Latent semantic analysis
Expand
Broader (1)
Computational linguistics
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Analysis of unsupervised aspect term identification methods for Portuguese reviews
M. Machado
,
Thiago Alexandre Salgueiro Pardo
,
E. Ruiz
2017
Corpus ID: 52527507
Automatic term identification is a fundamental task for text mining and many other natural language processing applications…
Expand
2016
2016
Modeling metaphor perception with distributional semantics vector space models
Kat R. Agres
,
Stephen McGregor
,
K. Rataj
,
Matthew Purver
,
Geraint A. Wiggins
C3GI@ESSLLI
2016
Corpus ID: 12230251
In this paper, we present a novel application of a computational model of word meaning to capture human judgments of the…
Expand
2016
2016
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations
Fei Sun
,
J. Guo
,
Yanyan Lan
,
Jun Xu
,
Xueqi Cheng
AAAI Conference on Artificial Intelligence
2016
Corpus ID: 4024375
Distributional hypothesis lies in the root of most existing word representation models by inferring word meaning from its…
Expand
2016
2016
Shift sprinting: Fine-grained temperature-aware NoC-based MCSoC architecture in dark silicon age
Amin Rezaei
,
Danella Zhao
,
M. Daneshtalab
,
Hongyi Wu
Design Automation Conference
2016
Corpus ID: 18650218
Reliability is a critical feature of chip integration and unreliability can lead to performance, cost, and time-to-market…
Expand
2015
2015
Learning Better Embeddings for Rare Words Using Distributional Representations
Irina Sergienya
,
Hinrich Schütze
Conference on Empirical Methods in Natural…
2015
Corpus ID: 505323
There are two main types of word representations: low-dimensional embeddings and high-dimensional distributional vectors, in…
Expand
2011
2011
Word meaning in context: a probabilistic model and its application to question answering
Georgiana Dinu
2011
Corpus ID: 37594808
The need for assessing similarity in meaning is central to most language technology applications. Distributional methods are…
Expand
2011
2011
Proceedings of the Workshop on Distributional Semantics and Compositionality
Chris Biemann
,
Eugenie Giesbrecht
2011
Corpus ID: 61999383
Any NLP system that does semantic processing relies on the assumption of semantic compositionality: the meaning of a phrase is…
Expand
2009
2009
Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models
Yuval Marton
2009
Corpus ID: 2138458
Abstract : This dissertation focuses on effective combination of data-driven natural language processing (NLP) approaches with…
Expand
2008
2008
Hard Hearts and Open Minds? Governance, Identity, and Counterinsurgency Strategy
Michael F. Fitzsimmons
2008
Corpus ID: 153966263
Abstract : The premise of most Western thinking on counterinsurgency is that success depends on establishing a perception of…
Expand
2004
2004
Term Aggregation: Mining Synonymous Expressions using Personal Stylistic Variations
Akiko Murakami
,
Tetsuya Nasukawa
International Conference on Computational…
2004
Corpus ID: 12919540
We present a text mining method for finding synonymous expressions based on the distributional hypothesis in a set of coherent…
Expand