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.

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ACM Symposium 2018: Michael Strube speaks about „the dark side of NLP“

The German Chapter of the Association for Computing Machinery (ACM) turns 50 this year and celebrates its anniversary with a Symposium in Heidelberg. The Symposium takes place 20-21 September 2018 under the motto “Being Human with Algorithms”. Experts from all over the world discuss effects of the digital transformation to modern society – including all its side effects. The talks range from topics of digitalization, artificial intelligence, autonomous driving, over big data to blockchain, and more.

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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…

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