02/02/2021

DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues

Qi Jia, Hongru Huang, Kenny Q. Zhu

Keywords:

Abstract Paper Similar Papers

Abstract: Interpersonal language style shifting in dialogues is an interesting and almost instinctive ability of human. Understanding interpersonal relationship from language content is also a crucial step toward further understanding dialogues. Previous work mainly focuses on relation extraction between named entities in texts or within a single dialogue session. In this paper, we propose the task of relation classification of interlocutors based on their dialogues. We crawled movie scripts from IMSDb, and annotated the relation label for each session according to 13 pre-defined relationships. The annotated dataset DDRel consists of 6,300 dyadic dialogue sessions between 694 pairs of speakers with 53,126 utterances in total. We also construct session-level and pair-level relation classification tasks with widely-accepted baselines. The experimental results show that both tasks are challenging for existing models and the dataset will be useful for future research.

The video of this talk cannot be embedded. You can watch it here:
https://slideslive.com/38949085
(Link will open in new window)
 0
 0
 0
 0
  Share    
This is an embedded video. Talk and the respective paper are published at AAAI 2021 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers

 0
 0
 0
 0
 9:58 
 0
 0
 0
 0
 13:00 
 0
 0
 0
 0
 10:58 
 0
 0
 0
 0
 5:02 
 0
 0
 0
 0
 11:34 
 0
 0
 0
 0
 14:10 
 0
 0
 0
 0
 11:05 
 0
 0
 0
 0
 15:13 
 0
 0
 0
 0
 17:28 
 0
 0
 0
 0
 11:06 
 0
 0
 0
 0
 7:22 
 0
 0
 0
 0
 13:39 
 0
 0
 0
 0
 8:08 
 0
 0
 0
 0
 17:51 
 0
 0
 0
 0
 12:02 
 0
 0
 0
 1
 16:40 
 0
 0
 0
 0
 10:56 
 0
 0
 0
 0
 9:37 
 0
 0
 0
 0
 18:11 
 0
 0
 0
 0
 11:19 
 0
 0
 0
 0
 10:40 
 0
 0
 0
 0
 6:37 
 0
 0
 0
 0
 11:26 
 0
 0
 0
 0
 12:01 
 0
 0
 0
 0
 15:58 
 0
 0
 0
 0
 11:13 
 0
 0
 0
 0
 11:26 
 0
 0
 0
 0
 12:04 
 0
 0
 0
 0
 10:13 
 0
 0
 0
 0
 14:44 
 0
 0
 0
 0
 11:58 
 0
 0
 0
 0
 10:27 
 0
 0
 0
 0
 11:22 
 0
 0
 0
 0
 11:05 
 0
 0
 0
 0
 4:59 
 0
 0
 0
 0
 14:57 
 0
 0
 0
 0
 10:14 
 0
 0
 0
 0
 19:41 
 0
 0
 0
 0
 5:23 
 0
 0
 0
 0
 11:05