machination 发表于 2025-3-23 10:05:28
http://reply.papertrans.cn/24/2326/232600/232600_11.pngAVERT 发表于 2025-3-23 17:22:19
http://reply.papertrans.cn/24/2326/232600/232600_12.pnglaceration 发表于 2025-3-23 20:56:05
http://reply.papertrans.cn/24/2326/232600/232600_13.png无能性 发表于 2025-3-24 01:33:06
Kontinuumsmechanische Grundlagen,tic information about both arguments and adjuncts of verbs. When combined with our best performing classifier (a novel Gaussian classifier), it yields the promising accuracy of 64.2% in classifying 204 verbs to 17 Levin (1993) classes. We discuss the impact of our results on the state-or-art and propose avenues for future work.DIKE 发表于 2025-3-24 06:03:58
http://reply.papertrans.cn/24/2326/232600/232600_15.png纯朴 发表于 2025-3-24 10:25:43
https://doi.org/10.1007/3-540-32487-9rd similarity. This work presents a linear time complexity approximative algorithm for computing word similarity without any dimensionality reduction. It then introduces a large-scale evaluation based on two languages and two knowledge sources and discusses the underlying reasons for the relative performance of each measure.Diuretic 发表于 2025-3-24 12:32:46
http://reply.papertrans.cn/24/2326/232600/232600_17.png责怪 发表于 2025-3-24 17:17:26
http://reply.papertrans.cn/24/2326/232600/232600_18.pngCrater 发表于 2025-3-24 22:17:53
Acquisition of Elementary Synonym Relations from Biological Structured Terminologysing the terminological resource .. It provides results with over 93% precision. Comparison with an existing synonym resource (the general-language resource .) shows that there is a very small overlap between the induced lexicon of synonyms and the . synsets.overture 发表于 2025-3-24 23:42:56
A Comparison of Co-occurrence and Similarity Measures as Simulations of Contextrd similarity. This work presents a linear time complexity approximative algorithm for computing word similarity without any dimensionality reduction. It then introduces a large-scale evaluation based on two languages and two knowledge sources and discusses the underlying reasons for the relative performance of each measure.