반응형 오늘의 자연어 처리572 [2023-01-18] 오늘의 자연어처리 Blind Judgement: Agent-Based Supreme Court Modelling With GPT We present a novel Transformer-based multi-agent system for simulating the judicial rulings of the 2010-2016 Supreme Court of the United States. We train nine separate models with the respective authored opinions of each supreme justice active ca. 2015 and test the resulting system on 96 real-world cases. We find our system predicts t.. 2023. 1. 18. [2023-01-17] 오늘의 자연어처리 Blind Judgement: Agent-Based Supreme Court Modelling With GPT We present a novel Transformer-based multi-agent system for simulating the judicial rulings of the 2010-2016 Supreme Court of the United States. We train nine separate models with the respective authored opinions of each supreme justice active ca. 2015 and test the resulting system on 96 real-world cases. We find our system predicts t.. 2023. 1. 17. [2023-01-16] 오늘의 자연어처리 tieval: An Evaluation Framework for Temporal Information Extraction Systems Temporal information extraction (TIE) has attracted a great deal of interest over the last two decades, leading to the development of a significant number of datasets. Despite its benefits, having access to a large volume of corpora makes it difficult when it comes to benchmark TIE systems. On the one hand, different dat.. 2023. 1. 16. [2023-01-15] 오늘의 자연어처리 A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities Named Entity Recognition (NER) is one of the essential applications of Natural Language Processing (NLP). It is also an instrument that plays a significant role in many other NLP applications, such as Machine Translation (MT), Information Retrieval (IR), and Part of Speech Tagging (POST). Kurdish is an u.. 2023. 1. 15. 이전 1 ··· 91 92 93 94 95 96 97 ··· 143 다음 반응형