MEGA RST Discourse Treebanks with Structure and Nuclearity from Scalable Distant Sentiment Supervision (2020.emnlp-main)
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| Challenge: | Existing discourse treebanks are limited in the application of data-driven approaches to discourse parsing. |
| Approach: | They propose a method to automatically generate discourse treebanks using distant supervision from sentiment annotated datasets by heuristic beam-search strategy extended with a stochastic component. |
| Outcome: | The proposed method generates discourse trees incorporating structure and nuclearity for documents of arbitrary length using an efficient beam-search strategy, extended with a stochastic component. |
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