Concept

Information extraction

Related publications (135)

Artificial niche microarrays for identifying extrinsic cell-fate determinants

The complex cellular microenvironment plays an important role in determining cell fate. For example, stem cells located in a microenvironment termed niche integrate a wide variety of extrinsic cues to take distinct fate choices. Capturing this multiple-inp ...

ELSEVIER ACADEMIC PRESS INC2018

Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts

Karl Aberer, Philippe Cudré-Mauroux, Julia Proskurnia, Carlos Castillo

Automatically extracting information from social media is challenging given that social content is often noisy, ambiguous, and inconsistent. However, as many stories break on social channels first before being picked up by mainstream media, developing meth ...

2017

Automated Taxonomy Induction and its Applications

Amit Gupta

Machine-readable semantic knowledge in the form of taxonomies (i.e., a collection of is-a edges) has proved to be beneficial in an array of NLP tasks including inference, textual entailment, question answering and information extraction. Such widespread ut ...

EPFL2017

Evaluating Attention Networks for Anaphora Resolution

Andrei Popescu-Belis, Nikolaos Pappas, Lesly Sadiht Miculicich Werlen

In this paper, we evaluate the results of using inter and intra attention mechanisms from two architectures, a Deep Attention Long Short-Term Memory-Network (LSTM-N) (Cheng et al., 2016) and a Decomposable Attention model (Parikh et al., 2016), for anaphor ...

Idiap2017

Template Induction over Unstructured Email Corpora

Julia Proskurnia

Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...

Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

Petr Motlicek

Automatic Speech Recognition (ASR) can introduce higher levels of automation into Air Traffic Control (ATC), where spoken language is still the predominant form of communication. While ATC uses standard phraseology and a limited vocabulary, we need to adap ...

2017

Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

Petr Motlicek

Idiap2017

Unsupervised extraction of students navigation patterns on an EPFL MOOC

Thibault Lucien Christian Asselborn, Louis Pierre Faucon, Victor Faramond

How do students learn in MOOCs? This project aims at answering this question by analyzing the activities of thousands of students registered on EPFL Scalaa MOOC hosted by Coursera. With the rapid growth of MOOCs, Education Science has entered the Big Data ...

2017

Microfluidic and Electrokinetic Manipulation of Single Cells

Samuel Kilchenmann

Traditional cell assays report on the average results of a cell population. However, a wide range of new tools are being developed for a fundamental understanding of single cell's functionality. Nonetheless, the current tools are either limited in their th ...

EPFL2017

Towards large scale multimedia indexing: A case study on person discovery in broadcast news

Jean-Marc Odobez

The rapid growth of multimedia databases and the human interest in their peers make indices representing the location and identity of people in audio-visual documents essential for searching archives. Person discovery in the absence of prior identity knowl ...

2017

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