All Relationships
Total Relationships: 103278
| Source Entity | Source Type | Relationship | Target Entity | Type | Paper ID |
|---|---|---|---|---|---|
| Best Result | otherentity | comparesWith | Statistical Parsers | method | 44523.0 |
| Best Results | metric | improves | Word Similarity Measure | metric | 24027.0 |
| Best Student Forcing | method | comparesWith | Maximum Likelihood Estimation | method | 14383.0 |
| Best Student Forcing | method | improves | Generative Adversarial Nets | method | 14383.0 |
| Best Worst Scaling | method | annotatedWith | Reddit Comments Dataset | material | 8671.0 |
| Best Worst Scaling | method | appliedIn | Litescale | otherentity | 20354.0 |
| Best Worst Scaling | method | creates | Sentiment Intensity Scores | metric | 16473.0 |
| Best Worst Scaling | method | evaluates | News Datasets | material | 20995.0 |
| Best Worst Scaling | method | improves | Emotion Intensity | metric | 18012.0 |
| Best Worst Scaling | method | measures | Factual Consistency | metric | 20995.0 |
| Beta | material | optimizes | Character N-Gram F-Score | metric | 27897.0 |
| Beta Distribution | method | guides | Aspect Aware Words | otherentity | 32079.0 |
| Beta Regression | method | integrates | Explanation Method | method | 31080.0 |
| Betty | material | implements | N best trees problem | task | 41418.0 |
| Bhattacharya Lab | otherentity | participatesIn | AfriSenti | material | 24764.0 |
| Bhattacharya Lab | otherentity | participatesIn | Monolingual Sentiment Classification | task | 24764.0 |
| Bi Affine Model | method | extracts | Feature Set | material | 3757.0 |
| Bi CNN MI | method | evaluatedIn | MSRP Corpus | material | 23449.0 |
| Bi CNN MI | method | solves | Paraphrase Identification | task | 23449.0 |
| Bi CNN MI | method | uses | Logistic Classifier | method | 23449.0 |