Zero-shot transfer for implicit discourse relation classification
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| Authors | Murathan Kurfalı, Robert Östling |
| Journal/Conference Name | SIGDIAL 2019 - 20th Annual Meeting of the Special Interest Group Discourse Dialogue - Proceedings of the Conference |
| Paper Category | Artificial Intelligence |
| Paper Abstract | Automatically classifying the relation between sentences in a discourse is a challenging task, in particular when there is no overt expression of the relation. It becomes even more challenging by the fact that annotated training data exists only for a small number of languages, such as English and Chinese. We present a new system using zero-shot transfer learning for implicit discourse relation classification, where the only resource used for the target language is unannotated parallel text. This system is evaluated on the discourse-annotated TED-MDB parallel corpus, where it obtains good results for all seven languages using only English training data. |
| Date of publication | 2019 |
| Code Programming Language | Python |
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