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Information & Communication Technologies

Language Technologies

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Please note that the project factsheets will no longer be updated.  All information relevant to the project can be found on the CORDIS factsheet.  This is updated on a regular basis with public deliverables, etc.

EXCITEMENT - EXploring Customer Interactions through Textual EntailMENT

287923 - STREP

At a glance

FP7-ICT-2011-7 - Language technologies


The EXCITEMENT project is focused on the text analytics market and follows the increasing demand for automatically analysing customer interaction aspects, which today crosses multiple channels including speech, email, chat and social media.


There are two interleaved high-level goals for this project. The first is to set up, for the first time, a generic architecture and a comprehensive implementation for a multilingual textual inference platform and make it available to the scientific and technological communities. This will enable developers of many different applications to leverage the platform and boost their semantic inference capabilities. The second goal is to develop a new generation of industrial text exploration applications for customer interactions, which will enable business users to better analyse and make sense from their diverse and often unpredicted client content.


Target Group of the project

The target group of the project are: scientific and technological communities, application developers and business environment.


The target group of the project are: scientific and technological communThe first planned result of the project is a comprehensive “MOSES-style” open source platform for multi-lingual textual inference, based on the textual entailment paradigm.
The second is an inference-based exploration system for customer interactions in multiple languages and interaction channels. Those goals will be achieved for three languages – English, German and Italian, and for three customer interaction channels – speech (transcriptions), email and social media.
ities, application developers and business environment.


The expected impact of EXCITEMENT is driven by the prospect to lay new grounds for powerful textual inference technology. On the scientific side, the realization of the generic textual entailment paradigm within encompassing architecture and open platform would end the current state of affairs in applied semantics technology, which, for a long time was lacking a feasible unifying driving framework. On the industrial side, providing new inference capabilities will open new horizons for text analytics in general, and customer interaction analytics in particular, which will enable businesses to better harness the value of their customers’ inputs and thus increase their competitiveness.

Altogether, the expected outcome of EXCITEMENT ranges from new scientific insights all the way to novel practical technology in the hands of European developers and end-users. The consortium’s dedication to the open source platform, shared resources and transparent scientific dissemination will ensure that the results strengthen the R&D base in applied semantics and text exploration: from university students to commercial developers, all types of both academic and industrial players will benefit from the proposed project.



Contact Person:

Name: Ms. Ahalota Revital
Tel: +972 9 7753549

Organisation: NICE SYSTEMS LTD







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