Dr. Christian M. Meyer

Preference-based Interactive Multi-Document Summarisation

Yang Gao, Christian M. Meyer und Iryna Gurevych:
Preference-based Interactive Multi-Document Summarisation. Information Retrieval Journal: Special Issue on Learning from User Interactions, Dezember 2019.

@ARTICLE{Gao:2019,

author = {Gao, Yang and Meyer, Christian M. and Gurevych, Iryna},

title = {{Preference-based Interactive Multi-Document Summarisation}},

journal = {Information Retrieval Journal: Special Issue on Learning from User Interactions},

publisher = {Berlin/Heidelberg: Springer},

month = {December},

year = {2019},

language = {English},

doi = {10.1007/s10791-019-09367-8},

issn = {1386-4564},

pdf = {https://chmeyer.de/research/publications/irj2019/pdf/},

url = {https://chmeyer.de/research/publications/irj2019/}

}

APRIL learns a reward function as the proxy of the user/oracle, and uses the learnt reward to “teach” the RL-based summarizer.
APRIL learns a reward function as the proxy of the user/oracle, and uses the learnt reward to “teach” the RL-based summarizer.