Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
A survey on legal judgment prediction: Datasets, metrics, models and challenges
J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …
predict judgment results based on fact descriptions automatically. The present work …
Legal case document similarity: You need both network and text
Estimating the similarity between two legal case documents is an important and challenging
problem, having various downstream applications such as prior-case retrieval and citation …
problem, having various downstream applications such as prior-case retrieval and citation …
Named-entity recognition in Turkish legal texts
C Çetindağ, B Yazıcıoğlu, A Koç - Natural Language Engineering, 2023 - cambridge.org
Natural language processing (NLP) technologies and applications in legal text processing
are gaining momentum. Being one of the most prominent tasks in NLP, named-entity …
are gaining momentum. Being one of the most prominent tasks in NLP, named-entity …
[PDF][PDF] The Proliferation of Regional Regulation Cancellation in Indonesia
AK Jaelani, MJ Hayat - Journal of …, 2022 - download.garuda.kemdikbud.go.id
Implementation of regional autonomy is closely tied to regional governments' ability to create
and implement laws and regulations. 1 This authority is guaranteed by Article 18 of the 1945 …
and implement laws and regulations. 1 This authority is guaranteed by Article 18 of the 1945 …
Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts
We propose bidirectional imparting or BiImp, a generalized method for aligning embedding
dimensions with concepts during the embedding learning phase. While preserving the …
dimensions with concepts during the embedding learning phase. While preserving the …
Predicting Brazilian court decisions
Predicting case outcomes is useful for legal professionals to understand case law, file a
lawsuit, raise a defense, or lodge appeals, for instance. However, it is very hard to predict …
lawsuit, raise a defense, or lodge appeals, for instance. However, it is very hard to predict …
Gender bias in legal corpora and debiasing it
Word embeddings have become important building blocks that are used profoundly in
natural language processing (NLP). Despite their several advantages, word embeddings …
natural language processing (NLP). Despite their several advantages, word embeddings …
The role of llms in sustainable smart cities: Applications, challenges, and future directions
Smart cities stand as pivotal components in the ongoing pursuit of elevating urban living
standards, facilitating the rapid expansion of urban areas while efficiently managing …
standards, facilitating the rapid expansion of urban areas while efficiently managing …
Leveraging task dependency and contrastive learning for case outcome classification on european court of human rights cases
S Tyss, MP San Blas, P Kemper… - Proceedings of the 17th …, 2023 - aclanthology.org
We report on an experiment in case outcome classification on European Court of Human
Rights cases where our model first learns to identify the convention articles allegedly …
Rights cases where our model first learns to identify the convention articles allegedly …