Concept

Word embedding

Related publications (147)

Computing text semantic relatedness using the contents and links of a hypertext encyclopedia

We propose a method for computing semantic relatedness between words or texts by using knowledge from hypertext encyclopedias such as Wikipedia. A network of concepts is built by filtering the encyclopedia's articles, each concept corresponding to an artic ...

Elsevier Science Bv2013

Probabilistic Lexical Modeling and Unsupervised Training for Zero-Resourced ASR

Ramya Rasipuram, Marzieh Razavi

Standard automatic speech recognition (ASR) systems rely on transcribed speech, language models, and pronunciation dictionaries to achieve state-of-the-art performance. The unavailability of these resources constrains the ASR technology to be available for ...

2013

KL-HMM and Probabilistic Lexical Modeling

Ramya Rasipuram

Kullback-Leibler divergence based hidden Markov model (KL-HMM) is an approach where a posteriori probabilities of phonemes estimated by artificial neural networks (ANN) are modeled directly as feature observation. In this paper, we show the relation betwee ...

Idiap2013

Modeling car ownership and usage: a dynamic discrete-continuous choice modeling approach

Michel Bierlaire, Aurélie Glerum, Emma Frejinger

In this research we specify a dynamic discrete-continuous choice model (DDCCM) of car ownership and usage. This model embeds a discrete-continuous choice model into a dynamic programming (DP) framework. The DDCCM allows to jointly model the transaction typ ...

2013

Modeling car ownership and usage: a dynamic discrete-continuous choice modeling approach

Michel Bierlaire, Aurélie Glerum, Emma Frejinger

2013

Joint Image and Word Sense Discrimination For Image Retrieval

Aurélien Lucchi

We study the task of learning to rank images given a text query, a problem that is complicated by the issue of multiple senses. That is, the senses of interest are typically the visually distinct concepts that a user wishes to retrieve. In this paper, we p ...

2012

A Survey on Language Modeling using Neural Networks

Nikolaos Pappas, Thomas Meyer

A Language Model (LM) is a helpful component of a variety of Natural Language Processing (NLP) systems today. For speech recognition, machine translation, information retrieval, word sense disambiguation etc., the contribution of an LM is to provide featur ...

Idiap2012

Jet: An Embedded DSL for High Performance Big Data Processing

Martin Odersky, Tiark Rompf, Vojin Jovanovic, Stefan Ackermann

Cluster computing systems today impose a trade-off between generality, performance and productivity. Hadoop and Dryad force programmers to write low level programs that are tedious to compose but easy to optimize. Systems like Dryad/LINQ and Spark allow co ...

2012

Peer-to-Peer Data Management

Karl Aberer

This lecture introduces systematically into the problem of managing large data collections in peer-to-peer systems. Search over large datasets has always been a key problem in peer-to-peer systems and the peer-to-peer paradigm has incited novel directions ...

Morgan & Claypool Publishers2011

Learning from Images with Captions Using the Maximum Margin Set Algorithm

Barbara Caputo, Jie Luo, Vittorio Ferrari

A large amount of images with accompanying text captions are available on the Internet. These are valuable for training visual classifiers without any explicit manual intervention. In this paper, we present a general framework to address this problem. Unde ...

Idiap2011

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