TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Natural Language Inference	FarsTail	Translate-Source + fastText	% Test Accuracy	78.13	# 1
Natural Language Inference	FarsTail	Decomposable Attention Model + word2vec	% Test Accuracy	65.66	# 8
Natural Language Inference	FarsTail	ESIM + fastText	% Test Accuracy	71.36	# 5
Natural Language Inference	FarsTail	HBMP + word2vec	% Test Accuracy	66.04	# 7
Natural Language Inference	FarsTail	ULMFiT	% Test Accuracy	72.44	# 4
Natural Language Inference	FarsTail	ESIM + BERT (FarsTail, MultiNLI)	% Test Accuracy	74.62	# 3
Natural Language Inference	FarsTail	LSTM + BERT (concat)	% Test Accuracy	75.83	# 2
Natural Language Inference	FarsTail	Translate-Target + fastText	% Test Accuracy	70.46	# 6

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FarsTail: A Persian Natural Language Inference Dataset

18 Sep 2020 • Hossein Amirkhani • Mohammad Azari Jafari • Azadeh Amirak • Zohreh Pourjafari • Soroush Faridan Jahromi • Zeinab Kouhkan

Natural language inference (NLI) is known as one of the central tasks in natural language processing (NLP) which encapsulates many fundamental aspects of language understanding. With the considerable achievements of data-hungry deep learning methods in NLP tasks, a great amount of effort has been devoted to develop more diverse datasets for different languages... (read more)

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CROSS-LINGUAL NATURAL LANGUAGE INFERENCE

CROSS-LINGUAL TRANSFER

NATURAL LANGUAGE INFERENCE

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FarsTail

Mentioned in the Paper:

SNLI

MIMIC-III

MultiNLI

XNLI

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Ranked #1 on Natural Language Inference on FarsTail

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Natural Language Inference	FarsTail	Translate-Source + fastText	% Test Accuracy	78.13	# 1	Compare
Natural Language Inference	FarsTail	Decomposable Attention Model + word2vec	% Test Accuracy	65.66	# 8	Compare
Natural Language Inference	FarsTail	ESIM + fastText	% Test Accuracy	71.36	# 5	Compare
Natural Language Inference	FarsTail	HBMP + word2vec	% Test Accuracy	66.04	# 7	Compare
Natural Language Inference	FarsTail	ULMFiT	% Test Accuracy	72.44	# 4	Compare
Natural Language Inference	FarsTail	ESIM + BERT (FarsTail, MultiNLI)	% Test Accuracy	74.62	# 3	Compare
Natural Language Inference	FarsTail	LSTM + BERT (concat)	% Test Accuracy	75.83	# 2	Compare
Natural Language Inference	FarsTail	Translate-Target + fastText	% Test Accuracy	70.46	# 6	Compare

Methods used in the Paper

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METHOD	TYPE
HBMP	Sequence To Sequence Models
ESIM	Sequence To Sequence Models
LSTM	Recurrent Neural Networks
BiGRU	Bidirectional Recurrent Neural Networks
Skip-gram Word2Vec	Word Embeddings
CBoW Word2Vec	Word Embeddings
fastText	Word Embeddings
ELMo	Word Embeddings
ULMFiT	Language Models
BERT	Language Models

FarsTail: A Persian Natural Language Inference Dataset

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