Sentiment Analysis on MR

Metric: Accuracy (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	VLAWE	93.3	No	Vector of Locally-Aggregated Word Embeddings (VL...	2019-02-23	Code
2	RoBERTa-large 355M + Entailment as Few-shot Learner	92.5	No	Entailment as Few-Shot Learner	2021-04-29	Code
3	AnglE-LLaMA-7B	91.09	No	AnglE-optimized Text Embeddings	2023-09-22	Code
4	byte mLSTM7	86.8	No	A La Carte Embedding: Cheap but Effective Induct...	2018-05-14	Code
5	MEAN	84.5	No	A Multi-sentiment-resource Enhanced Attention Ne...	2018-07-13	-
6	RNN-Capsule	83.8	No	-	-	Code
7	Capsule-B	82.3	No	Investigating Capsule Networks with Dynamic Rout...	2018-03-29	Code
8	SuBiLSTM-Tied	81.6	No	Improved Sentence Modeling using Suffix Bidirect...	2018-05-18	-
9	USE_T+CNN	81.59	No	Universal Sentence Encoder	2018-03-29	Code
10	STM+TSED+PT+2L	80.09	No	The Pupil Has Become the Master: Teacher-Student...	2019-05-31	Code
11	GRU-RNN-WORD2VEC	78.26	No	All-but-the-Top: Simple and Effective Postproces...	2017-02-05	Code
12	SWEM-concat	78.2	No	Baseline Needs More Love: On Simple Word-Embeddi...	2018-05-24	Code
13	TM-Glove	77.51	No	Enhancing Interpretable Clauses Semantically usi...	2021-04-14	Code
14	Text GCN	76.74	No	Graph Convolutional Networks for Text Classifica...	2018-09-15	Code
15	GraphStar	76.6	No	Graph Star Net for Generalized Multi-Task Learning	2019-06-21	Code
16	S-LSTM	76.2	No	Sentence-State LSTM for Text Representation	2018-05-07	Code
17	SGC	75.9	No	Simplifying Graph Convolutional Networks	2019-02-19	Code
18	SGCN	75.9	No	Simplifying Graph Convolutional Networks	2019-02-19	Code