Papers by Karthik Raghunathan
Entity resolution for noisy ASR transcripts (D19-3)
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| Challenge: | Domain-agnostic Automatic Speech Recognition systems often mistranscribe domain-specific words and phrases. |
| Approach: | They propose a method for handling ASR errors in named entities, specifically person names, for a voice-based collaboration assistant. |
| Outcome: | The proposed method improves accuracy by 40.8% on a voice-based collaboration assistant. |
Developing Production-Level Conversational Interfaces with Shallow Semantic Parsing (D18-2)
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| Challenge: | In this demo, we demonstrate an end-to-end approach for building conversational interfaces from prototype to production. |
| Approach: | They propose an end-to-end approach for building conversational interfaces from prototype to production that leverages shallow semantic parsing. |
| Outcome: | The proposed approach has proven to work well for a number of applications across diverse verticals. |