Abstract:Attitude prediction strives to determine whether an opinion holder is positive or negative towards a given target. We cast this problem as a lexicon engineering task in the context of deep linguistic grammar formalisms such as LFG or HPSG. Moreover, we demonstrate that attitude prediction can be accomplished solely through unification of lexical feature structures. It is thus possible to use our model without altering existing grammars, only the lexicon needs to be adapted. In this paper, we also show how our … Show more
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