Table 2. Recent research articles in the LJP field.
| Number | Proposed method | Legal field | The year of publication |
|---|---|---|---|
| [1] | Using BERT to identify industry requirements for cybersecurity. | Cybersecurity claim documentation | 2021 |
| [2] | LeSICiN: using the attribute encoder and the structural encoder to generate representations | Indian criminal law | 2022 |
| [3] | An attention-based neural network | Chinese criminal law | 2017 |
| [4] | Using domain expertise to strategically predict irrelevant information | European court of human rights | 2022 |
| [5] | A modified version of the enhanced sequential inference model (ESIM) incorporating conditional encoding | European court of human rights | 2023 |
Notes:
CyBERT: cybersecurity claim classification by fine-tuning the BERT language model.
LeSICiN: a heterogeneous graph-based approach for automatic legal statute identification from Indian legal documents.
Learning to predict charges for criminal cases with legal basis.
Deconfounding legal judgment prediction for European Court of Human Rights cases towards better alignment with experts.
Zero-shot transfer of article-aware legal outcome classification for the European Court of Human Rights cases.