Natural Language Processing (NLP)

The Natural Language Processing (NLP) group develops methods, algorithms, and tools for the automatic analysis of natural language. The group focuses on questions related to processing, understanding and generating discourse. It works on coreference resolution with a particular focus on appropriate representations for the task. It develops models of local coherence, most recently an unsupervised, graph-based version of the entity grid with applications in text generation, assessing readability and automatic summarization. The group is also interested in word sense disambiguation and its relations to discourse processing.

News

TPDL Paper Accepted

The paper “Semantic Author Name Disambiguation with Word Embeddings” by Mark-Christoph Müller has been accepted as a Long Paper at TPDL 2017 (International Conference on Theory and Practice of Digital Libraries). The conference will take place from September 18 to 21, 2017, in Thessaloniki, Greece. The paper is a result of the project SCAD –…

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The Dark Side of Natural Language Processing

At the first “Ethics in Natural Language Processing” workshop in Valencia, scientists discussed the opportunities and dangers of automatic speech analysis. According to HITS researcher Michael Strube, “Exceedingly few people know how well we can analyze unstructured data.” Smartphones are a part of our everyday lives both at work and at home. We write emails,…

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