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Found 4 papers, 4 papers with code
GLEN: Generative Retrieval via Lexical Index Learning
For training, GLEN effectively exploits a dynamic lexical identifier using a two-phase index learning strategy, enabling it to learn meaningful lexical identifiers and relevance signals between queries and documents.
ConQueR: Contextualized Query Reduction using Search Logs
One extracts core terms from an original query at the term level, and the other determines whether a sub-query is a suitable reduction for the original query at the sequence level.
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval
Sparse document representations have been widely used to retrieve relevant documents via exact lexical matching.
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
Automated metaphor detection is a challenging task to identify metaphorical expressions of words in a sentence.
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