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        <title>GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion</title>
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        <namePart type="given">Ramit</namePart>
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    <abstract>Parliamentary debates present a valuable language resource for analyzing comprehensive options in electing representatives under a functional, free society. However, the esoteric nature of political speech coupled with non-linguistic aspects such as political cohesion between party members presents a complex and underexplored task of contextual parliamentary debate analysis. We introduce GPolS, a neural model for political speech sentiment analysis jointly exploiting both semantic language representations and relations between debate transcripts, motions, and political party members. Through experiments on real-world English data and by visualizing attention, we provide a use case of GPolS as a tool for political speech analysis and polarity prediction.</abstract>
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%0 Conference Proceedings
%T GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion
%A Sawhney, Ramit
%A Wadhwa, Arnav
%A Agarwal, Shivam
%A Shah, Rajiv Ratn
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F sawhney-etal-2020-gpols
%X Parliamentary debates present a valuable language resource for analyzing comprehensive options in electing representatives under a functional, free society. However, the esoteric nature of political speech coupled with non-linguistic aspects such as political cohesion between party members presents a complex and underexplored task of contextual parliamentary debate analysis. We introduce GPolS, a neural model for political speech sentiment analysis jointly exploiting both semantic language representations and relations between debate transcripts, motions, and political party members. Through experiments on real-world English data and by visualizing attention, we provide a use case of GPolS as a tool for political speech analysis and polarity prediction.
%R 10.18653/v1/2020.coling-main.426
%U https://aclanthology.org/2020.coling-main.426
%U https://doi.org/10.18653/v1/2020.coling-main.426
%P 4847-4859

Markdown (Informal)

[GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion](https://aclanthology.org/2020.coling-main.426) (Sawhney et al., COLING 2020)

• GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion (Sawhney et al., COLING 2020)

ACL

• Ramit Sawhney, Arnav Wadhwa, Shivam Agarwal, and Rajiv Ratn Shah. 2020. GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4847–4859, Barcelona, Spain (Online). International Committee on Computational Linguistics.