All Relationships
Total Relationships: 103278
| Source Entity | Source Type | Relationship | Target Entity | Type | Paper ID |
|---|---|---|---|---|---|
| LegalEval | material | includes | Rhetorical Roles | material | 24799.0 |
| LegalEval | material | includes | Rhetorical Roles Prediction | task | 24931.0 |
| LegalEval | material | includes | Sub task C 1 | task | 24875.0 |
| LegalEval | material | includes | Sub task C 2 | task | 24875.0 |
| LegalEval | material | includes | Subtask A | task | 24933.0 |
| LegalEval | material | uses | BERT | method | 24875.0 |
| LegalEval 2023 | material | includes | Rhetorical Roles Prediction | task | 24873.0 |
| LegalJudgementPrediction | task | evaluates | Interpretability Techniques | method | 31518.0 |
| LegalJudgementPrediction | task | uses | AdversarialTraining | method | 31518.0 |
| Legislation | material | impacts | Stakeholders | otherentity | 39354.0 |
| Legislative Modeling | task | employs | Predictive Models | method | 5504.0 |
| Legislative Modeling | task | uses | Contextual Features | material | 5504.0 |
| Legislative Modeling | task | uses | Lexical Content | material | 5504.0 |
| Legislator Attitudes | method | uses | Embedding Based Model | method | 31181.0 |
| Legislator Preferences | otherentity | comparesWith | Embedding Based Model | method | 31181.0 |
| Legislator Representations | method | achieves | F1 Score | metric | 38691.0 |
| Leipzig Corpus Miner | otherentity | uses | Text Mining | method | 17815.0 |
| Lematus | method | evaluates | Lemmatization Accuracy | metric | 20908.0 |
| Lematus | method | uses | Training Data | material | 20908.0 |
| Lemma Based Approach | method | enhances | Word Sense Disambiguation | task | 7858.0 |