A survey on machine reading comprehension systems
Machine Reading Comprehension (MRC) is a challenging task and hot topic in Natural
Language Processing. The goal of this field is to develop systems for answering the …
Language Processing. The goal of this field is to develop systems for answering the …
Self-training for jointly learning to ask and answer questions
Building curious machines that can answer as well as ask questions is an important
challenge for AI. The two tasks of question answering and question generation are usually …
challenge for AI. The two tasks of question answering and question generation are usually …
Memen: Multi-layer embedding with memory networks for machine comprehension
Machine comprehension (MC) style question answering is a representative problem in
natural language processing. Previous methods rarely spend time on the improvement of …
natural language processing. Previous methods rarely spend time on the improvement of …
Explicit utilization of general knowledge in machine reading comprehension
To bridge the gap between Machine Reading Comprehension (MRC) models and human
beings, which is mainly reflected in the hunger for data and the robustness to noise, in this …
beings, which is mainly reflected in the hunger for data and the robustness to noise, in this …