From: Argument annotation and analysis using deep learning with attention mechanism in Bahasa Indonesia
No | Authors | Dataset | Methods |
---|---|---|---|
1 | [3] | Argumentative essays | Annotation protocols |
2 | [5] | Persuasive essays | 5 group of sub-features |
3 | [7] | Legal documents | 11 feature sets |
4 | [8] | Greek language text | Tense and mood |
5 | [9] | Argumentative discourse | combination of rule-based and probabilistic sequence model |
6 | [10] | 52 essays written by university students | Ontology: 8 rules |
7 | [22] | Social media | Conditional Random Fields (CRF) |
8 | [23] | Greek news | Word embeddings |
9 | [27] | Argumentative corpus in German language | Discourse markers |
10 | [28] | Persuasive essays | 68 sub-features |
11 | [29] | Persuasive essays | Argument and domain words; LDA |
12 | Political debates | CDCD approach |