id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-020914-7p37m92a	Dumani, Lorik	A Framework for Argument Retrieval: Ranking Argument Clusters by Frequency and Specificity	2020-03-17		.txt	text/plain	5482	302	67	From an information retrieval perspective, an interesting task within this setting is finding the best supporting and attacking premises for a given query claim from a large corpus of arguments. From an information retrieval perspective, an interesting task within this setting is finding the best supporting (pro) and attacking (con) premises for a given query claim [31] . Given a user's keyword query, the system retrieves, ranks, and presents premises supporting and attacking the query, taking similarity of the query with the premise, its corresponding claim, and other contextual information into account. We assume that we work with a large corpus of argumentative text, for example collections of political speeches or forum discussions, that has already been mined and transferred into claims with the corresponding premises and stances. We consider the following problem: Given a controversial claim or topic, for example "We should abandon fossil fuels", a user searches for the most important premises from the corpus supporting or attacking it.	./cache/cord-020914-7p37m92a.txt	./txt/cord-020914-7p37m92a.txt