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Found 12 papers, 1 papers with code
Domain-specific knowledge distillation yields smaller and better models for conversational commerce
We demonstrate that knowledge distillation can be used not only to reduce model size, but to simultaneously adapt a contextual language model to a specific domain.
The economic trade-offs of large language models: A case study
Contacting customer service via chat is a common practice.
Behind the Mask: Demographic bias in name detection for PII masking
PII masking is commonly used to redact personal information such as names, addresses, and phone numbers from text data.
Actionable Conversational Quality Indicators for Improving Task-Oriented Dialog Systems
Automatic dialog systems have become a mainstream part of online customer service.
Should Semantic Vector Composition be Explicit? Can it be Linear?
The second considers whether semantic vector composition should be explicitly described mathematically, or whether it can be a model-internal side-effect of training a neural network.
Clausal Modifiers in the Grammar Matrix
We extend the coverage of an existing grammar customization system to clausal modifiers, also referred to as adverbial clauses.
Improving Feature Extraction for Pathology Reports with Precise Negation Scope Detection
We use a broad coverage, linguistically precise English Resource Grammar (ERG) to detect negation scope in sentences taken from pathology reports.
