A Framework for Argument Retrieval

Author:

Dumani LorikORCID,Neumann Patrick J.ORCID,Schenkel RalfORCID

Publisher

Springer International Publishing

Reference33 articles.

1. Akbik, A., Blythe, D., Vollgraf, R.: Contextual string embeddings for sequence labeling. In: Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, 20–26 August 2018, pp. 1638–1649 (2018). https://aclweb.org/anthology/C18-1139/

2. Amati, G., van Rijsbergen, C.J.: Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM Trans. Inf. Syst. 20(4), 357–389 (2002). https://doi.org/10.1145/582415.582416

3. Args. https://www.args.me/index.html . Accessed 08 Jan 2020

4. ArgumenText. http://www.argumentsearch.com/ . Accessed 08 Jan 2020

5. BM25F in lucene. github. https://github.com/o19s/lucene-bm25f/ . Accessed 23 Sept 2019

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