Tian Zhixing


2021

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Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain
Tian Zhixing | Zhang Yuanzhe | Liu Kang | Zhao Jun
Proceedings of the 20th Chinese National Conference on Computational Linguistics

In this paper we focus on machine reading comprehension in social media. In this domain onenormally posts a message on the assumption that the readers have specific background knowledge. Therefore those messages are usually short and lacking in background information whichis different from the text in the other domain. Thus it is difficult for a machine to understandthe messages comprehensively. Fortunately a key nature of social media is clustering. A group of people tend to express their opinion or report news around one topic. Having realized this we propose a novel method that utilizes the topic knowledge implied by the clustered messages to aid in the comprehension of those short messages. The experiments on TweetQA datasets demonstrate the effectiveness of our method.