Projects

High quality information extraction is a major pillar of our rapidly developing global information and knowledge society. At this time, either rule-based or statistical approaches are employed. Statis

The aim of this project is to develop a search function based on textual inference, which can be used to find, for an incoming support request, relevant documents in an existing customer support syste

This project's goal is to develop an information-extraction system with higher coverage and improved accuracy compared to state-of-the-art competitors. The corresponding research area of text analytic

The modern language learning lessons can take place via web-based online learning services, which can be accessed anywhere and anytime. This kind of services needs urgently the support of language tec

Quality translation of text into other languages is in higher demand today than ever before. Europe is the region where the lack of fast, affordable quality translation hurts the most. Despite conside

The aim of this project is to improve existing methodology for generic deep linguistic analysis, i.e. the syntactic and semantic analysis needed for many language technology applications. A dependency

Identifying semantic inference relations between texts is a major underlying language processing task, needed in practically all text understanding applications. For example, Question Answering and In

The aim of this project is to develop an intelligent question answering system for health information systems. To this end, we will further develop the DFKI LT information extraction technology for co

(EU Project Name: LT-Web. MultilingualWeb-LT is the external brand of the project.) One of the main obstacles that currently prevent effective integration of language technologies (like machine transl

The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has lead to challenges of how to access and interpret these strongly multilingual data,