Author ORCID Identifier
Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE
Abstract
Recent endeavours at detection of propaganda in news articles treat this as a fine-grained problem of detecting it within fragments; and hence, transformer based embeddings perform decently in such detection. We build our propaganda detection framework on top of a transformer model simultaneously enriching it with contextual linguistic information of surrounding part-of-speech tags and LIWC categories the word itself belongs to. The evaluation outcomes being encouraging indicate a huge potential for this line of reasoning in natural language processing of news text.
DOI
https://doi.org/10.1109/BigData50022.2020.9378432
Recommended Citation
Younus, Arjumand and Qureshi, Muhammad Atif, "Combining BERT with Contextual Linguistic Features for Identification of Propaganda Spans in News Articles" (2020). Conference papers. 188.
https://arrow.tudublin.ie/buschmarcon/188
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Publication Details
2020 IEEE International Conference on Big Data (Big Data)