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.


LREC Paper Accepted

The paper “BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages” by Benjamin Heinzerling and Michael Strube has been accepted for LREC 2018, which will take place in Miyazaki, Japan, from May 7th to 12th, 2018. The paper comes with an innovative natural language resource, which can be downloaded from this GitHub page. BTW: The European…


Michael Strube at NAACL-HLT 2018

Michael Strube, NLP group leader, will serve as one of the area chairs for Information Extraction at the next NAACL-HLT conference. The conference, which is held by the North American chapter of the ACL, will take place in New Orleans, Louisiana, from June 1st to 8th, 2018.