{"url":"/dataset/glare","name":"GLARE","full_name":"Guided LexRank for Advanced Retrieval in Legal Analysis","description_markdown":"The Guided Lexrank algorithm is applied to dataset special_appeal.csv to summarize the texts of legal documents. The obtained summary and the texts of the topics contained in dataset themes.csv are submitted to the BM25 algorithm for similarity assessment. From a list of topics, the GLARE method produces a ranking with suggested topics for a given document.","description_withheld":null,"homepage":"https://zenodo.org/records/13696090","introduced_date":"2024-09-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/glare-guided-lexrank-for-advanced-retrieval","title":"GLARE: Guided LexRank for Advanced Retrieval in Legal Analysis","first_author":"Fabio Gregório","url":null},"license":{"name":"This work is licensed under a CC BY 4.0 license","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Information Retrieval","url":"/task/information-retrieval","datasets_with_task":"/datasets/task/information-retrieval"},{"name":"Multilingual NLP","url":"/task/multilingual-nlp","datasets_with_task":"/datasets/task/multilingual-nlp"},{"name":"Hybrid Machine Learning","url":"/task/hybrid-machine-learning","datasets_with_task":"/datasets/task/hybrid-machine-learning"}],"languages":[{"name":"Portuguese","url":"/datasets/language/portuguese"}],"variants":["GLARE"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}