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Using Factual Density to Measure Informativeness of Web Documents.

, , , , and . NODALIDA, volume 85 of Linköping Electronic Conference Proceedings, page 227-238. Linköping University Electronic Press, (2013)

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Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021., , , , , and . CoRR, (2022)Combining Heterogeneous Models for Measuring Relational Similarity., , , , and . HLT-NAACL, page 1000-1009. The Association for Computational Linguistics, (2013)Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021., , , , , , , and . FIRE (Working Notes), volume 3159 of CEUR Workshop Proceedings, page 744-762. CEUR-WS.org, (2021)Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021., , , , , and . FIRE (Working Notes), volume 3159 of CEUR Workshop Proceedings, page 1101-1116. CEUR-WS.org, (2021)Using Factual Density to Measure Informativeness of Web Documents., , , , and . NODALIDA, volume 85 of Linköping Electronic Conference Proceedings, page 227-238. Linköping University Electronic Press, (2013)Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020., , , , and . CoRR, (2022)Threatening Language Detection and Target Identification in Urdu Tweets., , , , , and . IEEE Access, (2021)Evaluating the Impact of OCR Quality on Short Texts Classification Task., , , , , and . MICAI (2), volume 13613 of Lecture Notes in Computer Science, page 163-177. Springer, (2022)UrduFake@FIRE2020: Shared Track on Fake News Identification in Urdu., , , , and . FIRE, page 37-40. ACM, (2020)"Bend the truth": Benchmark dataset for fake news detection in Urdu language and its evaluation., , , , , and . J. Intell. Fuzzy Syst., 39 (2): 2457-2469 (2020)