Exaggerate 发表于 2025-3-30 09:16:53
http://reply.papertrans.cn/24/2327/232608/232608_51.pngCubicle 发表于 2025-3-30 16:07:01
High Quality Arabic Lexical Ontology Based on MUHIT, WordNet, SUMO and DBpediaty coverage using DBpedia, English-to-Arabic Transliteration, and Named Entity Recognition. We end up with an Arabic lexical ontology that has 228K Arabic synsets, linked to 7.8K concepts and 143K instances. This ontology achieves a precision of 96.9% and recall of 75.5% for NLU scenarios.过时 发表于 2025-3-30 20:03:58
Data-Driven Morphological Analysis and Disambiguation for Kazakhg our method against open source solutions on several data sets, we show that it achieves better or on par performance. We also provide an extensive error analysis that sheds light on common problems of the morphological disambiguation of the language.远地点 发表于 2025-3-30 23:00:04
http://reply.papertrans.cn/24/2327/232608/232608_54.pnginvert 发表于 2025-3-31 02:24:41
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