Search Results for author: Georg Wiese

Found 3 papers, 2 papers with code

Neural Question Answering at BioASQ 5B

no code implementations WS 2017 Georg Wiese, Dirk Weissenborn, Mariana Neves

We focus on factoid and list question, using an extractive QA model, that is, we restrict our system to output substrings of the provided text snippets.

Question Answering Word Embeddings

Neural Domain Adaptation for Biomedical Question Answering

1 code implementation CONLL 2017 Georg Wiese, Dirk Weissenborn, Mariana Neves

However, these systems have not yet been applied to QA in more specific domains, such as biomedicine, because datasets are generally too small to train a DL system from scratch.

Domain Adaptation Question Answering +2

Making Neural QA as Simple as Possible but not Simpler

3 code implementations CONLL 2017 Dirk Weissenborn, Georg Wiese, Laura Seiffe

We argue that this surprising finding puts results of previous systems and the complexity of recent QA datasets into perspective.

Question Answering Reading Comprehension

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