The MSC Data Set
From this page you can download resources we created for modal sense classification as reported in the publication listed below:
- Heuristically sense-annotated training data acquired from EUROPARL and OpenSubtitles (EPOS, English) [ZFFP15, MZPF16, MF16]
- Composition of training and testing used for the classification experiments [ZFFP15, MF16]
- Manually annotated subsection of MASC (English) [MZPF16]
- Heuristically modal sense annotated training data and manually annotated test data from EUROPARL and OpenSubtitles (EPOS, German) [MF16]
If you make use of this data, please make sure to cite the following publication:
- Zhou, M., Frank, A., Friedrich, A. and Palmer, A., (2015): Semantically Enriched Models for Modal Sense Classification. Proceedings of the EMNLP Workshop LSDSem 2015: Linking Models of Lexical, Sentential and Discourse-level Semantics, Lisbon. [pdf] [ZFFP15]
- Marasović, A., Zhou, M., Palmer, A., and Frank, A. (2016): Modal Sense Classification At Large: Paraphrase-Driven Sense Projection, Semantically Enriched Classification Models and Cross-Genre Evaluations. Linguistic Issues in Language Technology, Special issue on Modality in Natural Language Understanding, Stanford, CA., vol. 14 (2), CSLI Publications. [MZPF16]
- Marasović, A. and Frank, A. (2016): Multilingual Modal Sense Classification using a Convolutional Neural Network. Proceedings of the 1st Workshop on Representation Learning for NLP, Berlin, Germany, pp. 111-120, Association for Computational Linguistics. [pdf] [MF16]