All Relationships
Total Relationships: 103278
| Source Entity | Source Type | Relationship | Target Entity | Type | Paper ID |
|---|---|---|---|---|---|
| LSTM Network | method | usedFor | Sentiment Analysis | task | 24520.0 |
| LSTM Networks | method | predicts | RSTDiscourseTrees | material | 4438.0 |
| LSTM Networks | method | usedFor | Discourse Parsing | task | 4438.0 |
| LSTM Networks | method | usedFor | Language Modeling | task | 5505.0 |
| LSTM Neural Architecture | method | usedFor | Morphological Disambiguation | task | 4597.0 |
| LSTM Neural Network | method | appliesTo | Corpus | material | 21997.0 |
| LSTM RNN | method | appliesTo | Recognizing Textual Entailment | task | 3734.0 |
| LSTM Representations | otherentity | encodes | Phonological Information | otherentity | 38911.0 |
| LSTM Sequence Model | method | improves | Relation Extraction | task | 33121.0 |
| LSTM Topic Matrix Factorization | method | outperforms | ConvMF Model | method | 20890.0 |
| LSTM Topic Matrix Factorization | method | outperforms | HFT Model | method | 20890.0 |
| LSTM Topic Matrix Factorization | method | testedOn | Amazon | otherentity | 20890.0 |
| LSTM based Path Aggregator | method | captures | Event Associated Structure | otherentity | 38080.0 |
| LSTM+CNN+CRF | method | appliesTo | Fine Grained Named Entity Recognition | task | 5455.0 |
| LSTM-CRF NER | method | achieves | Strict Micro F Score | metric | 25424.0 |
| LSTM-CRF NER | method | identifies | Geolocation Entities | otherentity | 25424.0 |
| LSTMRecurrentNeuralNetwork | method | uses | EnsembleLSTM | method | 4417.0 |
| LSTMs | method | achieves | Accuracy | metric | 39870.0 |
| LSTMs | method | comparesWith | Transformers | method | 26947.0 |
| LSTMs | method | evaluatedIn | Benchmarks | material | 29619.0 |