showing better performance than traditional sparse vector space models. To obtain high efficiency, the basic structure of these models is Bi-encoder in most cases. 问题:However, this simple structure may cause serious information loss during
showing better performance than traditional sparse vector space models. To obtain high efficiency, the basic structure of these models is Bi-encoder in most cases. 问题:However, this simple structure may cause serious information loss during
10.Neural Belief Tracker: Data-Driven Dialogue State Tracking ( Cited by 63 ) Authors: Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson and Steve Young One of the core components of modern spoken dialogue systems is thebelief tracker, which estimates the user's...
10.Neural Belief Tracker: Data-Driven Dialogue State Tracking ( Cited by 63 ) Authors: Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson and Steve Young One of the core components of modern spoken dialogue systems is the belief tracker, which estimates the user'...
ShannonAI: In the past you have done a lot of influential work and have published many widely cited papers. How does your approach as a NLP researcher change overtime? Is there anything you would like to share with students for developing good taste for research problems ?
Few papers have been produced to date evaluating and comparing surface-based metrics for analyzing landscapes e.g., [10]. As such, a second important project would be to apply these gradient measures to a wide range of landscape gradients with different structures and compare them to the ...
So I should accept papers with zero p-values? Often not. This p-value is intended to estimate whether the difference is repeatable. But the magnitude of the difference still may not be substantive (users may not perceive any quality improvement). Sometimes, it may be more informative to look...
So I should accept papers with zero p-values? Often not. This p-value is intended to estimate whether the difference is repeatable. But the magnitude of the difference still may not be substantive (users may not perceive any quality improvement). Sometimes, it may be more informative to look...
[10] Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains 关键词:模型压缩,知识蒸馏 背景和问题:Pre-trained language models have been applied to various NLP tasks with considerable performance gains. However, the large model sizes, together with the long infer...
So I should accept papers with zero p-values? Often not. This p-value is intended to estimate whether the difference is repeatable. But the magnitude of the difference still may not be substantive (users may not perceive any quality improvement). Sometimes, it may be more informative to look...