Ramy Eskander
3 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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SLSA: A Sentiment Lexicon for Standard Arabic
2015
Sentiment analysis has been a major area of interest, for which the existence of highquality resources is crucial. In Arabic, there is a reasonable number of sentiment lexicons but with major deficiencies. The paper presents …
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Surprise Languages: Rapid-Response Cross-Language IR
2019 · Edinburgh Research Explorer (University of Edinburgh)
Sixteen years ago, the first "surprise language exercise" was conducted, in Cebuano. The evaluation goal of a surprise language exercise is to learn how well systems for a new language can be quickly built. This …
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Unsupervised Morphological Segmentation for Low-Resource Polysynthetic Languages
2019
Polysynthetic languages pose a challenge for morphological analysis due to the rootmorpheme complexity and to the word class "squish". In addition, many of these polysynthetic languages are low-resource. We propose unsupervised approaches for morphological segmentation …