Search Results for author:
Found 3 papers, 1 papers with code
Neural Architecture Search: Insights from 1000 Papers
Specialized, high-performing neural architectures are crucial to the success of deep learning in these areas.
Natural Language Understanding
Neural Architecture Search
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Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
In this work, we introduce a unifying search space design framework based on context-free grammars that can naturally and compactly generate expressive hierarchical search spaces that are 100s of orders of magnitude larger than common spaces from the literature.
Anaphora and Coreference Resolution: A Review
Entity resolution aims at resolving repeated references to an entity in a document and forms a core component of natural language processing (NLP) research.
