DeepText: Intelligent Text Analysis with Deep Learning

At a glance

Project leader : Dr. Mark Cieliebak
Deputy of project leader : Jan Milan Deriu
Project team : Dominic Egger, Dr. Thilo Stadelmann
Project budget : CHF 520'000
Project status : completed
Funding partner : CTI
Project partner : World Vision , Universität Basel / Universitätsbibliothek Basel / Schweizerisches Wirtschaftsarchiv, Supertext AG, SpinningBytes AG
Contact person : Jan Milan Deriu

Description

DeepText develops a software framework to automatically analyse texts in order to extract important information. The framework comprises modern algorithms from the field of machine learning (deep learning) that are better at analyzing texts than traditional approaches. They can for example be used to extract important topics or named entities like company or person names from a text.

Publications

Deriu, Jan Milan; Cieliebak, Mark,

2017.

SwissAlps at SemEval-2017 Task 3 : attention-based convolutional neural network for community question answering [paper].

In:

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017).

SemEval 2017 - International Workshop on Semantic Evaluation, Vancouver, Canada, 3-4 August 2017.

Association for Computational Linguistics.

pp. 334-338.

Available from: https://doi.org/10.18653/v1/S17-2054

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