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Titlebook: New Frontiers in Artificial Intelligence; JSAI-isAI 2022 Works Yasufumi Takama,Katsutoshi Yada,Sachiyo Arai Conference proceedings 2023 The

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樓主: ISH
31#
發(fā)表于 2025-3-26 22:57:05 | 只看該作者
JNLP Team: Deep Learning Approaches for?Tackling Long and?Ambiguous Legal Documents in?COLIEE 2022cs. The challenge for this competition is required not only the skills in processing long documents but also the ability to resolve ambiguity in the legal domain. For lengthy documents, we proposed a document-level attention mechanism (Task 1) and passage mining (Task 3, 4). Regarding ambiguity in t
32#
發(fā)表于 2025-3-27 04:20:14 | 只看該作者
33#
發(fā)表于 2025-3-27 07:56:47 | 只看該作者
34#
發(fā)表于 2025-3-27 10:08:56 | 只看該作者
HUKB at?the?COLIEE 2022 Statute Law Taskystems. Our new proposed IR system utilizes the similarity of descriptions of judicial decisions between questions and articles. In addition to this new IR system, we also use an ordinal keyword-based IR system (BM25) and the BERT-based IR system proposed in COLIEE 2020. Because of the different cha
35#
發(fā)表于 2025-3-27 17:37:15 | 只看該作者
Using Textbook Knowledge for?Statute Retrieval and?Entailment Classificationlationships between a query statement and a statute. While using transformer-based architectures, we extract additional statute information from textbooks and incorporate this knowledge into the original pipeline. Results indicate that there is a benefit of using the textbook knowledge in Statute Re
36#
發(fā)表于 2025-3-27 21:13:31 | 只看該作者
37#
發(fā)表于 2025-3-27 22:22:21 | 只看該作者
Less is Better: Constructing Legal Question Answering System by Weighing Longest Common Subsequence ed method tackles on how to construct an answering system capable of responding Yes/No legal questions, ultimately recognizing entailment between legal queries from past Japanese bar exams and relevant articles of Japan Civil Code (both in Japanese). We first attempted to extract disjunctive union t
38#
發(fā)表于 2025-3-28 05:14:02 | 只看該作者
39#
發(fā)表于 2025-3-28 08:55:28 | 只看該作者
Product Portfolio Optimization for?LTV Maximizationtractive products to stimulate purchase motivation. For recommendation, it is essential to narrow the target to effective customers and choose appropriate recommended products to maximize the effect with little cost. We formulated this problem as a product portfolio optimization problem to maximize
40#
發(fā)表于 2025-3-28 11:00:19 | 只看該作者
An Examination of Eating Experiences in Relation to Psychological States, Loneliness, and Depressionersonal communication. This study aimed to estimate and examine the psychological states and traits of texts describing eating experiences using BERT. Texts about positive, negative, and neutral eating experiences were collected from 877 crowd workers along with their psychological traits (lonelines
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