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Found 7 papers, 0 papers with code
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis
The algorithm was tested over the L2WS 2021 corpus.
Annotation Study of Japanese Judgments on Tort for Legal Judgment Prediction with Rationales
Moreover, the scheme can capture the explicit causal relation between judge’s decisions and their corresponding rationales, allowing multiple decisions in a document.
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination
In this paper, we explore the application of Generative Pre-trained Transformers (GPTs) in cross-lingual legal Question-Answering (QA) systems using the COLIEE Task 4 dataset.
Japanese Tort-case Dataset for Rationale-supported Legal Judgment Prediction
This paper presents the first dataset for Japanese Legal Judgment Prediction (LJP), the Japanese Tort-case Dataset (JTD), which features two tasks: tort prediction and its rationale extraction.
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
A recently introduced technique for a sparse optimization problem called "safe screening" allows us to identify irrelevant variables in the early stage of optimization.
Supporting content evaluation of student summaries by Idea Unit embedding
We im-plemented the proposed method in a GUI tool{``}Segment Matcher{''} that aids teachers to estab-lish a link between corresponding IUs acrossthe summary and source text.
Annotation of argument structure in Japanese legal documents
In particular, we utilize the hierarchical argument structure of the judgment documents.
