Concept

Semantic network

Related publications (173)

NEMo: An Evolutionary Model With Modularity for PPI Networks

Bernard Moret, Xiuwei Zhang, Min Ye, Qijia Jiang, Gabriela Clara Racz

Modeling the evolution of biological networks is a major challenge. Biological networks are usually represented as graphs; evolutionary events not only include addition and removal of vertices and edges but also duplication of vertices and their associated ...

IEEE Press2017

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

Martin Jaggi, Matteo Pagliardini, Prakhar Gupta

The recent tremendous success of unsupervised word embeddings in a multitude of applications raises the obvious question if similar methods could be derived to improve embeddings (i.e. semantic representations) of word sequences as well. We present a simpl ...

2017

Point-based Path Prediction from Polar Histograms

Alexandre Massoud Alahi

We address the problem of modeling complex target behavior using a stochastic model that integrates object dynamics, statistics gathered from the environment and semantic knowledge about the scene. The method exploits prior knowledge to build point-wise po ...

2016

Question Answering in Conversations: Query Refinement Using Contextual and Semantic Information

Andrei Popescu-Belis, Maryam Habibi, Parvaz Mahdabi

This paper introduces a query refinement method applied to questions asked by users to a system during a meeting or a conversation that they have with other users. To answer the questions, the proposed method leverages the local context of the conversation ...

Idiap2016

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Min-Jung Yoo

This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messagi ...

Mdpi Ag2016

Multilingual Visual Sentiment Concept Matching

Nikolaos Pappas, Hongyi Liu

What would someone from another culture think of this photograph I just took? Would they think my picture of this 'wilted flower' was also sentimentally positive or would they perceive it negatively instead? Or what if I wanted to find other photographs th ...

Assoc Computing Machinery2016

Word Embeddings for Natural Language Processing

Rémi Philippe Lebret

Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...

EPFL2016

Building Word Embeddings for Solving Natural Language Processing

Rémi Philippe Lebret

École Polytechnique Fédérale de Lausanne2016

On the Privacy Implications of Location Semantics

Jean-Pierre Hubaux, Kévin Clément Huguenin, Urs Beda Hengartner

Mobile users increasingly make use of location-based online services enabled by localization systems. Not only do they share their locations to obtain contextual services in return (e.g., 'nearest restaurant'), but they also share, with their friends, info ...

2016

Conceptual processing is referenced to the experienced location of the self, not to the location of the physical body

Olaf Blanke, Bruno Herbelin, Andrea Serino, Elisa Canzoneri

We tested whether an experimentally induced change in the experienced location of the self by means of the Full Body Illusion (FBI) would impact high-level cognitive processing. In an implicit association task, participants saw a landscape where words, con ...

Elsevier2016

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.