Papers with prediction of discourse marker
Mining Discourse Markers for Unsupervised Sentence Representation Learning (N19-1)
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| Challenge: | Current state of the art systems in NLP heavily rely on manually annotated datasets, which are expensive to obtain and are ineffective to extract. |
| Approach: | They propose to automatically discover sentence pairs with relevant discourse markers and apply it to massive amounts of data. |
| Outcome: | The proposed method can learn transferable sentence embeddings from 174 discourse markers even for rare markers such as “coincidentally” or “amazingly”. |