试验 发表于 2025-3-28 15:30:12
Tools for Nominalization: An Alternative for Lexical Normalization term generation and matching in an information retrieval environment. We present tools that automatically perform nominalization for lexical normalization in Portuguese. Comparing the effects of three alternative strategies (stemming, lemmatizing, and our proposal: nominalization), we demonstrate tGratulate 发表于 2025-3-28 20:20:10
A Framework for Integrating Natural Language Toolsonnected as a chain of filters, apply successive transformations to the data that flows through the system. Hence when integrating such tools, one may face problems that lead to information losses, such as: (i) tools discard information from their input which will be required by other tools furtherLacerate 发表于 2025-3-28 22:58:25
Methods and Tools for Encoding the WordNet.Br Sentences, Concept Glosses, and Conceptual-Semantic Reent conceptual-semantic relations (hyponymy, co-hyponymy, meronymy, cause, and entailment) and the so-called cross-lingual conceptual-semantic relations between different wordnets. Accordingly, after contextualizing the project and outlining the current lexical database structure and statistics, itSTERN 发表于 2025-3-29 06:33:33
http://reply.papertrans.cn/24/2330/232916/232916_44.png果仁 发表于 2025-3-29 09:46:11
http://reply.papertrans.cn/24/2330/232916/232916_45.pngTATE 发表于 2025-3-29 13:41:04
A Set of NP-Extraction Rules for Portuguese: Defining, Learning and Pruning machine learned set of transformation rules that was manually reviewed. The noun phrases extracted by these transformations were given as input to another learner that synthesized rules for breaking up complex noun phrases into simpler ones. The results of these processes applied to a Brazilian Por环形 发表于 2025-3-29 15:55:33
http://reply.papertrans.cn/24/2330/232916/232916_47.pngaddict 发表于 2025-3-29 22:28:26
http://reply.papertrans.cn/24/2330/232916/232916_48.pngmusicologist 发表于 2025-3-30 03:55:25
http://reply.papertrans.cn/24/2330/232916/232916_49.png卵石 发表于 2025-3-30 04:17:09
Supply Chain Management with SAP APO™artificial neural networks) is presented. Among other contributions that this work intends to bring to natural language processing research, the employment of more biologically plausible connectionist architecture and training for automatic summarization is emphasized. The choice relies on the expec