Papers by Stefan Heindorf
CausalQA: A Benchmark for Causal Question Answering (2022.coling-1)
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Alexander Bondarenko, Magdalena Wolska, Stefan Heindorf, Lukas Blübaum, Axel-Cyrille Ngonga Ngomo, Benno Stein, Pavel Braslavski, Matthias Hagen, Martin Potthast
| Challenge: | Existing causal question answering datasets are relatively small and only include one type of causal question. |
| Approach: | They construct a benchmark corpus of 1.1 million causal questions with answers . they use a typology derived from a data-driven, manual analysis of QA datasets . |
| Outcome: | The proposed model achieves a ROUGE-L F1 score of 0.48 on the new QA benchmark. |