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Computational Methods in Empirical Studies on Legal Interpretation: Before Transformers and After
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Using Topic-Modeling in Legal History, with an Application to Pre-Industrial English Case Law on Finance
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Words Matter: How WTO Rulings Handle Controversy
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A Statistical Test for Legal Interpretation: Theory and Applications
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Discovering significant topics from legal decisions with selective inference
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The Influence of Public Sentiment on Supreme Court Opinion Clarity
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Matter of Opinion: Assessing the Role of Individual Judicial Opinions at the International Criminal Court
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Law, Fact, and the Threat of Reversal From Above
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A general approach for predicting the behavior of the Supreme Court of the United States
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Systematic Content Analysis of Judicial Opinions
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context2vec: Learning Generic Context Embedding with Bidirectional LSTM
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Deep Contextualized Word Representations
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A Quantitative Analysis of Writing Style on the U.S. Supreme Court
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Automated Classification of Modes of Moral Reasoning in Judicial Decisions
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Positivism and Fidelity to Law: A Reply to Professor Hart
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Glove: Global Vectors for Word Representation
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: An R Package for performing kernel change point detection on the running statistics of multivariate time series
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LexNLP: Natural language processing and information extraction for legal and regulatory texts
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Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot
Sequence to Sequence Learning with Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2004.03705openalex-snapshot
Deep Learning Based Text Classification: A Comprehensive Review
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Machine Translation as an Underrated Ingredient? Solving Classification Tasks with Large Language Models for Comparative Research
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Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
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