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Abstract / Description of output
Parsing spoken dialogue presents challenges that parsing text does not, including a lack of clear sentence boundaries. We know from previous work that prosody helps in parsing single sentences [1], but we want to show the effect of prosody on parsing speech that isn’t segmented into sentences. In experiments on the English Switchboard corpus, we find prosody helps our model both with parsing and with accurately identifying sentence boundaries. However, we find that the best performing parser is not necessarily the parser that produces the best sentence segmentation performance. We suggest that the best parses instead come from modelling sentence boundaries jointly with other syntactic boundaries.
Original language | English |
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Title of host publication | Proc. INTERSPEECH 2023 |
Publisher | International Speech Communication Association |
Pages | 2633-2637 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 20 Aug 2023 |
Event | Interspeech 2023 - Dublin, Ireland Duration: 20 Aug 2023 → 24 Aug 2023 Conference number: 24 https://www.interspeech2023.org/ |
Publication series
Name | Interspeech |
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ISSN (Electronic) | 1990-9772 |
Conference
Conference | Interspeech 2023 |
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Country/Territory | Ireland |
City | Dublin |
Period | 20/08/23 → 24/08/23 |
Internet address |
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Dive into the research topics of 'Prosodic features improve sentence segmentation and parsing in English'. Together they form a unique fingerprint.Projects
- 1 Finished
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SEMANTAX-Form-Independent Semantics for Natural Language Understanding
1/08/17 → 31/07/23
Project: Research
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