Recent Progress on Machine Reading Comprehension
Speaker: Yiming CUI
Title: "Recent Progress on Machine Reading Comprehension"
Date: Monday, 13 November 2017
Time: 4:00pm to 5:00pm
Venue: Lecture Theater F (near lift 25/26), HKUST
Machine Reading Comprehension (MRC) has become a hot topic in recent
natural language processing field, which aims to read and comprehend a
given article or context and answer the questions based on it, requiring
better understanding of natural languages and the ability to do reasoning
over various clues.
In this talk, I will give an introduction to reading comprehension task as
well as its related datasets and technical approaches. Also, I will give a
detailed introduction on our works including several competing neural
network models, such as Attention-over-Attention Reader etc. At the end of
this talk, I will envision future prospects in MRC and illustrate
potential challenges in the future studies.
Yiming Cui is a research director at iFLYTEK Research, China. He received
his M.S. and B.S degree from Harbin Institute of Technology (HIT),
majoring computer science. His main research interests include: Machine
Reading Comprehension, Machine Translation and Natural Language
Processing. He participated in several machine translation competitions,
such as IWSLT 2012, IWSLT 2014, NIST OpenMT 15 and got several first
prizes. In 2017, he leaded his team in Stanford Question Answering Dataset
(SQuAD) Evaluation and got the first place among various competing teams.
He also has publications in the top NLP conferences, such as ACL, COLING
and NAACL and is reviewing papers for several conferences and journal,
such as ACL, JCSL etc.