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Scalable Zero-shot Entity Linking with Dense Entity Retrieval
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Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization
AbstractEfficient k-nearest neighbor search is a fundamental task, foundational for many problems in NLP. When the similarity is measured by dot-product between dual-encoder vectors or L2-distance, there already exist many …...
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection
AbstractEstablishing retrieval-based dialogue systems that can select appropriate responses from the pre-built index has gained increasing attention. Recent common practice is to construct a two-stage pipeline with a fast retriever …...
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification
AbstractIn task-oriented dialog (ToD) new intents emerge on regular basis, with a handful of available utterances at best. This renders effective Few-Shot Intent Classification (FSIC) a central challenge for modular …...