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

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

Karl Aberer, Rémi Philippe Lebret, Alireza Mohammadshahi

In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages. We combine two existing objective functions to make images and captions close in a joint embedding space ...

Association for Computational Linguistics2019

Evolution of Topics and Novelty in Science

Orion B Penner

Methods of estimating the similarity between individual publications is an area of long-standing interest in the scientometrics community. Traditional methods have generally relied on references and other metadata, while text mining approaches based on tit ...

INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI2019

Message Distortion in Information Cascades

Robert West, Manoel Horta Ribeiro, Kristina Gligoric

Information diffusion is usually modeled as a process in which immutable pieces of information propagate over a network. In reality, however, messages are not immutable, but may be morphed with every step, potentially entailing large cumulative distortions ...

ASSOC COMPUTING MACHINERY2019

Kenneth Younge, Omid Shahmirzadi, Adam Lugowski

Automatic measurement of semantic text similarity is an important task in natural language processing. In this paper, we evaluate the performance of different vector space models to perform this task. We address the real-world problem of modeling patent-to ...

2018

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Martin Jaggi, Claudiu-Cristian Musat, Kamil Bennani-Smires

Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. Keyphrases can be used for indexing, searching, aggregating and summarizing text documents, serving many automatic as well as ...

2018

Building a Question-Answering Chatbot using Forum Data in the Semantic Space

Pierre Dillenbourg, Marc Laperrouza, Khalil Mrini

We build a conversational agent which knowledge base is an online forum for parents of autistic children. We collect about 35,000 threads totalling some 600,000 replies, and label 1% of them for usefulness using Amazon Mechanical Turk. We train a Random Fo ...

2018

Building Word Embeddings for Solving 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 ...

École Polytechnique Fédérale de Lausanne2016

Wikipedia's Miracle

Frédéric Kaplan, Nicolas Nova

Wikipedia has become the principle gateway to knowledge on the web. The doubts about information quality and the rigor of its collective negotiation process during its first couple of years have proved unfounded. Whether this delights or horrifies us, Wiki ...

EPFL PRESS2016

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

Graph Chatbot

Chattez avec Graph Search

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

Evolution of Topics and Novelty in Science

Message Distortion in Information Cascades

Text Similarity in Vector Space Models: A Comparative Study

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Building a Question-Answering Chatbot using Forum Data in the Semantic Space

Building Word Embeddings for Solving Natural Language Processing

Wikipedia's Miracle

Word Embeddings for Natural Language Processing

Resource Management Processes of External Knowledge Resources: External Designers in Product Development Projects

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Text Similarity in Vector Space Models: A Comparative Study

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

Evolution of Topics and Novelty in Science

Building a Question-Answering Chatbot using Forum Data in the Semantic Space

Building Word Embeddings for Solving Natural Language Processing

Message Distortion in Information Cascades

Wikipedia's Miracle

Word Embeddings for Natural Language Processing

Resource Management Processes of External Knowledge Resources: External Designers in Product Development Projects