All Relationships
Total Relationships: 103278
| Source Entity | Source Type | Relationship | Target Entity | Type | Paper ID |
|---|---|---|---|---|---|
| Literacy Training | task | focusesOn | isiXhosa | otherentity | 8527.0 |
| Literacy Training | task | uses | HMM (HTS) Synthesis | method | 8527.0 |
| Literal Expressions | otherentity | comparesWith | Embeddings | material | 26421.0 |
| Literal Expressions | otherentity | involves | Attention | method | 26421.0 |
| Literal Interpretation | otherentity | relatedTo | Cohesive Structure | otherentity | 43281.0 |
| Literal Meaning Coverage | metric | measures | Chinese Idioms | material | 4030.0 |
| Literal Movement Grammars | method | includes | Disambiguation Phase | method | 43947.0 |
| Literal Movement Grammars | method | includes | Parsing Phase | task | 43947.0 |
| Literal Paraphrasing | method | achieves | High Accuracy | metric | 23666.0 |
| Literal Paraphrasing | method | employs | Selectional Preferences | material | 23666.0 |
| Literal Statement | otherentity | comparesWith | Emotionality | otherentity | 25892.0 |
| Literal/Sarcastic Sense Disambiguation | task | uses | Support Vector Machines | method | 34653.0 |
| Literary Events | material | uses | BERT | method | 39611.0 |
| Literary Evidence Retrieval | task | solvedBy | RoBERTa | material | 38866.0 |
| Literary Prediction | task | comparesWith | Bigram Baseline | method | 42449.0 |
| Literary Prediction | task | uses | LexicalFeatures | material | 42449.0 |
| Literary Prediction | task | uses | Syntactic Tree Fragments | material | 42449.0 |
| Literary Prediction | task | uses | SyntacticFeatures | material | 42449.0 |
| Literary Texts | material | comparesWith | Style Based Methods | otherentity | 19735.0 |
| Literary Translation | task | appliesTo | Short_Stories | material | 2932.0 |