HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents
T Santosh, A Isaia, S Hong, M Grabmair - arXiv preprint arXiv:2409.18647, 2024 - arxiv.org
Rhetorical Role Labeling (RRL) of legal documents is pivotal for various downstream tasks
such as summarization, semantic case search and argument mining. Existing approaches …
such as summarization, semantic case search and argument mining. Existing approaches …
Extracting problem and method sentence from scientific papers: a context-enhanced transformer using formulaic expression desensitization
Y Zhang, C Zhang - Scientometrics, 2024 - Springer
Billions of scientific papers lead to the need to identify essential parts from the massive text.
Scientific research is an activity from putting forward problems to using methods. To learn …
Scientific research is an activity from putting forward problems to using methods. To learn …
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents
TYS Santosh, H Sarwat, A Abdou… - arXiv preprint arXiv …, 2024 - arxiv.org
Rhetorical Role Labeling (RRL) of legal judgments is essential for various tasks, such as
case summarization, semantic search and argument mining. However, it presents …
case summarization, semantic search and argument mining. However, it presents …
Pre-Trained Language Models with Topic Attention for Supervised Document Structure Learning
D Pham, TMV Le - 2024 IEEE International Conference on Big …, 2024 - ieeexplore.ieee.org
The discourse-level structure of a document can be captured through learning the rhetorical
functions of sentences in that document. Existing supervised methods based on pre-trained …
functions of sentences in that document. Existing supervised methods based on pre-trained …
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents
Abstract Rhetorical Role Labeling (RRL) of legal judgments is essential for various tasks,
such as case summarization, semantic search and argument mining. However, it presents …
such as case summarization, semantic search and argument mining. However, it presents …
Analysing claims in NLP research
C Bleuze - 2024 - inria.hal.science
In Natural Language Processing (NLP) as in science in general, important re-search
findings are initially shared to the community as pre-prints, before undergo-ing a peer …
findings are initially shared to the community as pre-prints, before undergo-ing a peer …