Papers by Simon Corston-Oliver

2 papers
Developing a Production System for Purpose of Call Detection in Business Phone Conversations (2022.naacl-industry)

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Challenge: a commercial system detects Purpose of Call statements in call transcripts . the model is based on a set of rules and a neural model .
Approach: They propose a system to detect Purpose of Call statements in English business call transcripts in real time.
Outcome: The proposed model achieves 88.6 F1 on average in various types of business calls and has low inference time.
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations (2022.naacl-industry)

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Challenge: Existing systems that align textual mentions of entities to knowledge bases are difficult to deploy in production environments.
Approach: They propose a neural entity linking system that connects entities in business phone conversations to their corresponding Wikipedia and Wikidata entries.
Outcome: The proposed system improves inference speed and memory consumption while maintaining high accuracy.

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