Униграммалар

This paper presents a study on if and how automatically extracted keywords can be used to improve text categorization. In summary we show that a higher perfor- mance — as …...

Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In con- trast to Li and Roth (2002)’s approach which makes …...

This work analyses various syntactic and lexical features for sentence level aspect based sentiment analysis. The task fo- cuses on detection of a writer’s sentiment towards an aspect which is …...

AbstractThis paper presents NileULex, which is an Arabic sentiment lexicon containing close to six thousands Arabic words and compound phrases. Forty five percent of the terms and expressions in the …...

Character n-gram F-score (CHRF) shown to correlate very well with hu-is man relative rankings of different machine translation outputs, especially for morpho- logically rich target languages. However, its relation with …...

AbstractThis paper discusses the approach taken by the UWaterloo team to arrive at a solution for the Fine-Grained Sentiment Analysis problem posed by Task 5 of SemEval 2017. The paper …...

AbstractThis paper describes the system developed by the Centre for English Corpus Linguistics for the SemEval-2019 Task 3: EmoContext. It aimed at classifying the emotion of a user utterance in …...

AbstractStereotypical character roles-also known as archetypes or dramatis personae-play an important function in narratives: they facilitate efficient communication with bundles of default characteristics and associations and ease understanding of those …...