TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Sentiment Analysis	CR	USE_T+CNN (w2v w.e.)	Accuracy	87.45	# 3
Sentiment Analysis	MPQA	USE_T+DAN (w2v w.e.)	Accuracy	88.14	# 3
Sentiment Analysis	MR	USE_T+CNN	Accuracy	81.59	# 6
Conversational Response Selection	PolyAI Reddit	USE	1-of-100 Accuracy	47.7%	# 4
Sentiment Analysis	SST-2 Binary classification	USE_T+CNN (lrn w.e.)	Accuracy	87.21	# 41
Semantic Textual Similarity	STS Benchmark	USE_T	Pearson Correlation	0.782	# 16
Subjectivity Analysis	SUBJ	USE	Accuracy	93.90	# 5
Text Classification	TREC-6	USE_T+CNN	Error	1.93	# 1

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Universal Sentence Encoder

29 Mar 2018 • Daniel Cer • Yinfei Yang • Sheng-yi Kong • Nan Hua • Nicole Limtiaco • Rhomni St. John • Noah Constant • Mario Guajardo-Cespedes • Steve Yuan • Chris Tar • Yun-Hsuan Sung • Brian Strope • Ray Kurzweil

We present models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. The models are efficient and result in accurate performance on diverse transfer tasks... (read more)

Code

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facebookresearch/InferSent

2,085

facebookresearch/SentEval

1,513

ncbi-nlp/BioSentVec

304

ncbi-nlp/BioWordVec

62

30

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Tasks

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CONVERSATIONAL RESPONSE SELECTION

SEMANTIC TEXTUAL SIMILARITY

SENTENCE EMBEDDINGS

SENTIMENT ANALYSIS

SUBJECTIVITY ANALYSIS

TEXT CLASSIFICATION

TRANSFER LEARNING

WORD EMBEDDINGS

Datasets

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Results from the Paper

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Ranked #1 on Text Classification on TREC-6

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	RESULT	BENCHMARK
Sentiment Analysis	CR	USE_T+CNN (w2v w.e.)	Accuracy	87.45	# 3		Compare
Sentiment Analysis	MPQA	USE_T+DAN (w2v w.e.)	Accuracy	88.14	# 3		Compare
Sentiment Analysis	MR	USE_T+CNN	Accuracy	81.59	# 6		Compare
Conversational Response Selection	PolyAI Reddit	USE	1-of-100 Accuracy	47.7%	# 4		Compare
Sentiment Analysis	SST-2 Binary classification	USE_T+CNN (lrn w.e.)	Accuracy	87.21	# 41		Compare
Semantic Textual Similarity	STS Benchmark	USE_T	Pearson Correlation	0.782	# 16		Compare
Subjectivity Analysis	SUBJ	USE	Accuracy	93.90	# 5		Compare
Text Classification	TREC-6	USE_T+CNN	Error	1.93	# 1		Compare

Methods used in the Paper

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METHOD	TYPE
🤖 No Methods Found	Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet