id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-134378-p83nhiz9	Setlur, Vidya	Sentifiers: Interpreting Vague Intent Modifiers in Visual Analysis using Word Co-occurrence and Sentiment Analysis	2020-09-26		.txt	text/plain	3569	239	44	Natural language interaction with data visualization tools often involves the use of vague subjective modifiers in utterances such as"show me the sectors that are performing"and"where is a good neighborhood to buy a house?."Interpreting these modifiers is often difficult for these tools because their meanings lack clear semantics and are in part defined by context and personal user preferences. The interpretation of such modifiers makes it challenging for natural language interfaces to precisely determine the extensions of such concepts and mapping intent to the analytical functions provided in the visual analysis systems. Contribution This paper introduces Sentifiers, 1 a system to explore reasonable interpretations and defaults for such subjective vague modifiers in natural language interfaces for visual analysis. Research exploring the semantics of vague concepts for understanding intent transcends three main categories: (1) Computational Linguistics, (2) Intent and Modifiers in Search Systems, and (3) Natural Language Interaction for Visual Analysis.	./cache/cord-134378-p83nhiz9.txt	./txt/cord-134378-p83nhiz9.txt