TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Topic Models	20 Newsgroups	NVDM	Test perplexity	836	# 2
Question Answering	QASent	LSTM	MAP	0.6436	# 5
Question Answering	QASent	LSTM	MRR	0.7235	# 5
Question Answering	QASent	LSTM (lexical overlap + dist output)	MAP	0.7228	# 2
Question Answering	QASent	LSTM (lexical overlap + dist output)	MRR	0.7986	# 2
Question Answering	QASent	Attentive LSTM	MAP	0.7339	# 1
Question Answering	QASent	Attentive LSTM	MRR	0.8117	# 1
Question Answering	WikiQA	LSTM	MAP	0.6552	# 13
Question Answering	WikiQA	LSTM	MRR	0.6747	# 14
Question Answering	WikiQA	Attentive LSTM	MAP	0.6886	# 9
Question Answering	WikiQA	Attentive LSTM	MRR	0.7069	# 9
Question Answering	WikiQA	LSTM (lexical overlap + dist output)	MAP	0.682	# 10
Question Answering	WikiQA	LSTM (lexical overlap + dist output)	MRR	0.6988	# 11

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Neural Variational Inference for Text Processing

19 Nov 2015 • Yishu Miao • Lei Yu • Phil Blunsom

Recent advances in neural variational inference have spawned a renaissance in deep latent variable models. In this paper we introduce a generic variational inference framework for generative and conditional models of text... (read more)

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carpedm20/variational-text-tensorflow

544

jiacheng-xu/vmf_vae_nlp

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ysmiao/nvdm

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YongfeiYan/Neural-Document-Modeling

jainshobhit/Variational-Autoencoder

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ANSWER SELECTION

LATENT VARIABLE MODELS

QUESTION ANSWERING

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VARIATIONAL INFERENCE

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WikiQA

TrecQA

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Topic Models	20 Newsgroups	NVDM	Test perplexity	836	# 2	Compare
Question Answering	QASent	LSTM	MAP	0.6436	# 5	Compare
Question Answering	QASent	LSTM	MRR	0.7235	# 5	Compare
Question Answering	QASent	LSTM (lexical overlap + dist output)	MAP	0.7228	# 2	Compare
Question Answering	QASent	LSTM (lexical overlap + dist output)	MRR	0.7986	# 2	Compare
Question Answering	QASent	Attentive LSTM	MAP	0.7339	# 1	Compare
Question Answering	QASent	Attentive LSTM	MRR	0.8117	# 1	Compare
Question Answering	WikiQA	LSTM	MAP	0.6552	# 13	Compare
Question Answering	WikiQA	LSTM	MRR	0.6747	# 14	Compare
Question Answering	WikiQA	Attentive LSTM	MAP	0.6886	# 9	Compare
Question Answering	WikiQA	Attentive LSTM	MRR	0.7069	# 9	Compare
Question Answering	WikiQA	LSTM (lexical overlap + dist output)	MAP	0.682	# 10	Compare
Question Answering	WikiQA	LSTM (lexical overlap + dist output)	MRR	0.6988	# 11	Compare

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