Search Results for author: Timo Möller

Found 5 papers, 2 papers with code

COVID-QA: A Question Answering Dataset for COVID-19

1 code implementation NLP-COVID19 (ACL) 2020 Timo Möller, Anthony Reina, Raghavan Jayakumar, Malte Pietsch

We present COVID-QA, a Question Answering dataset consisting of 2, 019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19.

Question Answering

Semantic Answer Similarity for Evaluating Question Answering Models

no code implementations EMNLP (MRQA) 2021 Julian Risch, Timo Möller, Julian Gutsch, Malte Pietsch

To this end, we create an English and a German three-way annotated evaluation dataset containing pairs of answers along with human judgment of their semantic similarity, which we release along with an implementation of the SAS metric and the experiments.

Question Answering Semantic Similarity +1

Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models

no code implementations EMNLP (MRQA) 2021 Bogdan Kostić, Julian Risch, Timo Möller

In this paper, we present an approach for retrieving both texts and tables relevant to a question by jointly encoding texts, tables and questions into a single vector space.

Extractive Question-Answering Question Answering +1

German's Next Language Model

2 code implementations COLING 2020 Branden Chan, Stefan Schweter, Timo Möller

In this work we present the experiments which lead to the creation of our BERT and ELECTRA based German language models, GBERT and GELECTRA.

Benchmarking Document Classification +4

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