NTMC-Community/awesome-neural-models-for-semantic-match
A curated list of papers dedicated to neural text (semantic) matching.
This resource helps researchers and practitioners explore cutting-edge approaches to understanding how well two pieces of text relate to each other. It takes in various text pairs, like a search query and a document, or a question and a potential answer, and provides insights into different methods for determining their semantic similarity or relevance. This is for anyone working on information retrieval, question answering systems, or content matching tasks.
779 stars. No commits in the last 6 months.
Use this if you are a researcher or NLP practitioner looking for an organized collection of academic papers on neural models for text matching.
Not ideal if you are looking for an off-the-shelf software tool to immediately implement text matching solutions, rather than research papers.
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Dec 08, 2023
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