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FiNER-139: A Financial Numeric Entity Recognition Dataset ...
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FiNER-139 ...
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FiNER-139 ...
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FiNER-139: A Financial Numeric Entity Recognition Dataset ...
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MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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Context Sensitivity Estimation in Toxicity Detection ...
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A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections ...
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SemEval-2021 Task 5: Toxic Spans Detection ...
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MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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Machine Extraction of Tax Laws from Legislative Texts
In: Proceedings of the Natural Legal Language Processing Workshop 2021 (2021)
Abstract: Using a corpus of compiled codes from U.S. states containing labeled tax law sections, we train text classifiers to automatically tag tax-law documents and, further, to identify the associated revenue source (e.g. income, property, or sales). After evaluating classifier performance in held-out test data, we apply them to an historical corpus of U.S. state legislation to extract the flow of relevant laws over the years 1910 through 2010. We document that the classifiers are effective in the historical corpus, for example by automatically detecting establishments of state personal income taxes. The trained models with replication code are published at https://github.com/luyang521/tax-classification.
URL: https://hdl.handle.net/20.500.11850/530220
https://doi.org/10.3929/ethz-b-000530220
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Deception detection in text and its relation to the cultural dimension of individualism/collectivism ...
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GREEK-BERT: The Greeks visiting Sesame Street ...
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SumQE: a BERT-based Summary Quality Estimation Model ...
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Extracting Linguistic Resources from the Web for Concept-to-Text Generation ...
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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
In: ISSN: 1471-2105 ; BMC Bioinformatics ; https://hal.sorbonne-universite.fr/hal-01156600 ; BMC Bioinformatics, BioMed Central, 2015, 16 (1), pp.138. ⟨10.1186/s12859-015-0564-6⟩ (2015)
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Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System ...
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Ellogon: A New Text Engineering Platform ...
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Generating Multilingual Personalized Descriptions of Museum Exhibits - The M-PIRO Project ...
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