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Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations ...
Coope, Sam; Farghly, Tyler; Gerz, Daniela; Vulic, Ivan; Henderson, Matthew; Linguist, Assoc Computat. - : Apollo - University of Cambridge Repository, 2020
Abstract: We introduce Span-ConveRT, a light-weight model for dialog slot-filling which frames the task as a turn-based span extraction task. This formulation allows for a simple integration of conversational knowledge coded in large pretrained conversational models such as ConveRT (Henderson et al., 2019). We show that leveraging such knowledge in Span-ConveRT is especially useful for few-shot learning scenarios: we report consistent gains over 1) a span extractor that trains representations from scratch in the target domain, and 2) a BERT-based span extractor. In order to inspire more work on span extraction for the slot-filling task, we also release RESTAURANTS-8K, a new challenging data set of 8,198 utterances, compiled from actual conversations in the restaurant booking domain. ...
URL: https://dx.doi.org/10.17863/cam.53929
https://www.repository.cam.ac.uk/handle/1810/306838
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Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
Coope, Sam; Farghly, Tyler; Gerz, Daniela. - : Association for Computational Linguistics, 2020. : 58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020), 2020
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