Concepedia

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

2019 · 109 citations · 52 references

Open access

Concepts

ComputingComputer ScienceComputational LinguisticsMachine LearningNatural Language ProcessingNatural Language GenerationNatural Language UnderstandingQuestion AnsweringText GenerationAnswer GenerationEvaluation MetricsQuestion Generation

Abstract

Shiyue Zhang, Mohit Bansal. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

References

52

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text

Computing, Computer Science, Algorithms +16

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2018 · 45.7K citations · Full text

Computing, Computer Science, Computational Linguistics +12

GAN（Generative Adversarial Nets）

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · 2017 · 21.8K citations · Full text

Computing, Computer Science, Algorithms +12

BLEU

Kishore Papineni, Salim Roukos, Todd J. Ward et al. · 2001 · 21.5K citations · Full text

Computing, Computer Science, Computational Linguistics +9

Neural Machine Translation by Jointly Learning to Align and Translate

Dzmitry Bahdanau · arXiv (Cornell University) · 2014 · 14.6K citations · Full text

Computing, Computer Science, Natural Language Processing +9