Overview of the NLPCC 2022 Shared Task: Dialogue Text Analysis (DTA)

Qingliang Miao,Tao Guan,Yifan Yang, Yifan Zhang,Hua Xu,Fujiang Ge

NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING, NLPCC 2022, PT II（2022）

Cited 0|Views15

No score

Abstract

In this paper, we present an overview of the NLPCC 2022 shared task on Dialogue Texts Analysis (DTA). The evaluation consists of two sub-tasks: (1) Dialogue Topic Extraction (DTE) and (2) Dialogue Summary Generation (DSG). We manually annotated a large-scale corpus for DTA, in which each dialogue contains customer and service conversation. A total of 50 + teams participated in the DTA evaluation task. We believe that DTA will push forward the research in the field of dialogue text analysis.

Translated text

Key words

Dialogue topic extraction,Dialogue summary generation

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined