Millions of Emoji
|
Using millions of emoji occurrences to learn any-…
|
1500.00
|
2017-08-01
|
|
VLAWE
|
Vector of Locally-Aggregated Word Embeddings (VLA…
|
93.30
|
2019-02-23
|
|
RoBERTa-large 355M + Entailment as Few-shot Learner
|
Entailment as Few-Shot Learner
|
92.50
|
2021-04-29
|
|
AnglE-LLaMA-7B
|
AnglE-optimized Text Embeddings
|
91.09
|
2023-09-22
|
|
byte mLSTM7
|
A La Carte Embedding: Cheap but Effective Inducti…
|
86.80
|
2018-05-14
|
|
MEAN
|
A Multi-sentiment-resource Enhanced Attention Net…
|
84.50
|
2018-07-13
|
|
Capsule-B
|
Investigating Capsule Networks with Dynamic Routi…
|
82.30
|
2018-03-29
|
|
SuBiLSTM-Tied
|
Improved Sentence Modeling using Suffix Bidirecti…
|
81.60
|
2018-05-18
|
|
USE_T+CNN
|
Universal Sentence Encoder
|
81.59
|
2018-03-29
|
|
STM+TSED+PT+2L
|
The Pupil Has Become the Master: Teacher-Student …
|
80.09
|
2019-05-31
|
|
GRU-RNN-WORD2VEC
|
All-but-the-Top: Simple and Effective Postprocess…
|
78.26
|
2017-02-05
|
|
SWEM-concat
|
Baseline Needs More Love: On Simple Word-Embeddin…
|
78.20
|
2018-05-24
|
|
TM-Glove
|
Enhancing Interpretable Clauses Semantically usin…
|
77.51
|
2021-04-14
|
|
Text GCN
|
Graph Convolutional Networks for Text Classificat…
|
76.74
|
2018-09-15
|
|
GraphStar
|
Graph Star Net for Generalized Multi-Task Learning
|
76.60
|
2019-06-21
|
|
S-LSTM
|
Sentence-State LSTM for Text Representation
|
76.20
|
2018-05-07
|
|
SGC
|
Simplifying Graph Convolutional Networks
|
75.90
|
2019-02-19
|
|
SGCN
|
Simplifying Graph Convolutional Networks
|
75.90
|
2019-02-19
|
|