Concept

Word-sense induction

Related publications (48)

Data fusion for a hand prosthesis tactile feedback system

Christian Enz, Huaiqi Huang, Tao Li, Jörn Justiz, Ozan Unsal

Current myoelectrically controlled hand prostheses normally lack tactile feedback, thus limiting their functionalities and user acceptance. We propose a non-invasive tactile sensory feedback system, consisting miniaturized sensors, wireless communication m ...

IEEE2014

ISWC 2013--Wearables are Here to Stay

Daniel Gatica-Perez, Daniel Roggen

The 17th edition of the IEEE International Symposium on Wearable Computers (ISWC) was a tremendous success. With 17 years of history, it was the perfect place to get a sense of what has been achieved, where our community stands today, and what lies ahead. ...

Institute of Electrical and Electronics Engineers2014

Nonverbal Social Sensing in Action: Unobtrusive Recording and Extracting of Nonverbal Behavior in Social Interactions Illustrated with a Research Example

Daniel Gatica-Perez, Laurent Son Nguyen, Denise Frauendorfer

Nonverbal behavior coding is typically conducted by ‘‘hand’’. To remedy this time and resource intensive undertaking, we illustrate how nonverbal social sensing, defined as the automated recording and extracting of nonverbal behavior via ubiquitous social ...

2014

Word Embeddings through Hellinger PCA

Rémi Philippe Lebret, Ronan Collobert

Word embeddings resulting from neural lan- guage models have been shown to be successful for a large variety of NLP tasks. However, such architecture might be difficult to train and time-consuming. Instead, we propose to drastically simplify the word embed ...

Idiap2013

Is Deep Learning Really Necessary for Word Embeddings?

Rémi Philippe Lebret, Ronan Collobert, Joël Yvon Roland Legrand

Word embeddings resulting from neural language models have been shown to be successful for a large variety of NLP tasks. However, such architecture might be difficult to train and time-consuming. Instead, we propose to drastically sim- plify the word embed ...

Idiap2013

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

Andrei Popescu-Belis, Majid Yazdani

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

A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems

Giancarlo Ferrari Trecate

This paper proposes a control scheme for distributed sensing using a leader/follower multi-agent architecture. The control objective is to make a group of mobile agents cover and sense a sequence of regions of interest. More specifically, when the leaders ...

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

Selection and Aggregation of Ranking Criteria for Retrieval from Scientific Publication Databases

Martin Veselý

Selection and aggregation of ranking criteria became an important topic in information retrieval as search is getting more specialized and as volume of electronically available information grows. In this context, document ranking has undergone a shift from ...

EPFL2012

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