TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Question Answering	SQuAD1.1	MEMEN (single model)	EM	78.234	# 72
Question Answering	SQuAD1.1	MEMEN (single model)	F1	85.344	# 77
Question Answering	SQuAD1.1	MEMEN (single model)	EM	78.234	# 72
Question Answering	SQuAD1.1	MEMEN (single model)	F1	85.344	# 77
Question Answering	SQuAD1.1	MEMEN (ensemble)	EM	75.370	# 97
Question Answering	SQuAD1.1	MEMEN (ensemble)	F1	82.658	# 105
Question Answering	TriviaQA	MEMEN	EM	43.16	# 5
Question Answering	TriviaQA	MEMEN	F1	46.90	# 10

🦡 Badges

Include the markdown at the top of your GitHub README.md file to showcase the performance of the model.

Badges are live and will be dynamically updated with the latest ranking of this paper.

Badge	Markdown
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/memen-multi-layer-embedding-with-memory/question-answering-on-triviaqa)](https://paperswithcode.com/sota/question-answering-on-triviaqa?p=memen-multi-layer-embedding-with-memory)`
	`[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/memen-multi-layer-embedding-with-memory/question-answering-on-squad11)](https://paperswithcode.com/sota/question-answering-on-squad11?p=memen-multi-layer-embedding-with-memory)`

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension

28 Jul 2017 • Boyuan Pan • Hao Li • Zhou Zhao • Bin Cao • Deng Cai • Xiaofei He

Machine comprehension(MC) style question answering is a representative problem in natural language processing. Previous methods rarely spend time on the improvement of encoding layer, especially the embedding of syntactic information and name entity of the words, which are very crucial to the quality of encoding... (read more)

PDF Abstract

Code

Add Remove Mark official

No code implementations yet. Submit your code now

Tasks

Add Remove

QUESTION ANSWERING

READING COMPREHENSION

Datasets

SQuAD

TriviaQA

MCTest

LAMBADA

Results from the Paper

Add Remove

Ranked #5 on Question Answering on TriviaQA

Get a GitHub badge

TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Question Answering	SQuAD1.1	MEMEN (single model)	EM	78.234	# 72	Compare
Question Answering	SQuAD1.1	MEMEN (single model)	F1	85.344	# 77	Compare
Question Answering	SQuAD1.1	MEMEN (single model)	EM	78.234	# 72	Compare
Question Answering	SQuAD1.1	MEMEN (single model)	F1	85.344	# 77	Compare
Question Answering	SQuAD1.1	MEMEN (ensemble)	EM	75.370	# 97	Compare
Question Answering	SQuAD1.1	MEMEN (ensemble)	F1	82.658	# 105	Compare
Question Answering	TriviaQA	MEMEN	EM	43.16	# 5	Compare
Question Answering	TriviaQA	MEMEN	F1	46.90	# 10	Compare

Methods used in the Paper

Add Remove

METHOD	TYPE
Memory Network	Working Memory Models

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension

Code Edit Add Remove Mark official

Tasks Edit Add Remove

Datasets Edit

Results from the Paper Edit Add Remove

Methods used in the Paper Edit Add Remove

Code

Add Remove Mark official

Tasks

Add Remove

Datasets

Results from the Paper

Add Remove

Methods used in the Paper

Add Remove