News - NLP and IR

Focus Group: Natural Language Processing and Information Retrieval (Prof. Ponzetto and Prof. Glavaš)

The NLP and IR group at DWS conducts research on methods for knowledge acquisition and natural language processing (NLP), as well as their application to support empirical research in (Computational) Social Sciences and (Digital) Humanities. In our work, we investigate a wide range of techniques for text understanding - ranging from representation learning and distributional semantics all the way through symbolic, entity-based approaches leveraging wide-coverage knowledge graphs - and apply these to a wide range of research topics such as such computational semantics, multilinguality, information retrieval and multimodal NLP, to name a few.

People

Faculty:

Staff:

Alumni:

 *  joint project with the AI group

Projects

Completed

Publications

Book

Conference Item

Article

Dissertation

Master and Bachelor Theses

The "ius commune" or "learned laws" (= "roman and canon law” of the Middle Ages) are full of citations which follow a set of generally common rules...

more

The Web offers a goldmine of information describing a multitude of companies whose products and services can be potentially matched against Web users’...

more

Recently, there has been much interest to exploit Web-scale resource like the CommonCrawl for intelligent text processing and information extraction...

more

Recently, we started investigating methods and framework to automatically extract high-quality hypernym relations from Web-scale amounts of data,...

more

Entity linking, the task of linking mentions of entities in text to wide-coverage concept repositories like DBPedia or Freebase, has so far...

more