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Check It Out : Politics and Neural NetworksAuthors: Yash Kumar Lal,Dhruv Khattar,Vaibhav Kumar,Abhimanshu Mishra,Vasudeva Varma Conference: Conference and Labs of the Evaluation Forum (CLEF-2018 2018) Location Avignon, France Date: 2018-09-10 Report no: IIIT/TR/2018/19 AbstractThe task of fact-checking has been formalised as the assessment of the truthfulness of a claim. Be it a political proclamation or a technological development, verification of a new tidbit of information before its propagation to the general public is of utmost importance. Failing to do so leads to the spread of misinformation, which is a devious tool. Fact-checking is commonly performed by journalists, manually looking up information pertaining to the statement in question. This is a drawn out and tedious process with a chance of the concerned person not covering the domain exhaustively. Some of this effort is reduced by the use of knowledge bases created over a period of time. In this work under Task 2 (Factuality) of the CLEF 2018 CheckThat! Lab, we detail a neural network based methodology which models the textual data of a claim based on various representations of its words and characters. An affixed attention mechanism allows us to encapsulate linguistic features common in false claims. We achieve an accuracy of 39.57% on the task dataset. Full paper: pdf Centre for Search and Information Extraction Lab |
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