@inproceedings{qiu2021socaog,
author = {Qiu, Liang and Liang, Yuan and Zhao, Yizhou and Lu, Pan and Peng, Baolin and Yu, Zhou and Wu, Ying Nian and Zhu, Song-Chun},
title = {SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues},
booktitle = {ACL-IJCNLP 2021},
year = {2021},
month = {June},
abstract = {Inferring social relations from dialogues is vital for building emotionally intelligent robots to interpret human language better and act accordingly. We model the social network as an And-or Graph, named SocAoG, for the consistency of relations among a group and leveraging attributes as inference cues. Moreover, we formulate a sequential structure prediction task, and propose an $\alpha$-$\beta$-$\gamma$ strategy to incrementally parse SocAoG for the dynamic inference upon any incoming utterance: (i) an $\alpha$ process predicting attributes and relations conditioned on the semantics of dialogues, (ii) a $\beta$ process updating the social relations based on related attributes, and (iii) a $\gamma$ process updating individual's attributes based on interpersonal social relations. Empirical results on DialogRE and MovieGraph show that our model infers social relations more accurately than the state-of-the-art methods. Moreover, the ablation study shows the three processes complement each other, and the case study demonstrates the dynamic relational inference.},
url = {http://approjects.co.za/?big=en-us/research/publication/socaog-incremental-graph-parsing-for-social-relation-inference-in-dialogues/},
}