{"id":"2311.13729","title":"Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case","url":"https://codeofpaper.com/paper/2311.13729","arxiv_url":"https://arxiv.org/abs/2311.13729","published":"2023-11-22","code":"community","best":{"full_name":"shashank140195/Raredis","url":"https://github.com/shashank140195/Raredis","tier":"high_confidence_community","stars":3,"license":null,"framework":null,"language":"Yacc","last_commit":"2024-03-21T04:07:16"},"most_starred_community":null,"implementations":[{"full_name":"shashank140195/Raredis","url":"https://github.com/shashank140195/Raredis","tier":"high_confidence_community","stars":3,"license":null,"framework":null,"language":"Yacc","last_commit":"2024-03-21T04:07:16"}],"possible_matches":1}