Knowledge synonym的問題，透過圖書和論文來找解法和答案更準確安心。 我們查出實價登入價格、格局平面圖和買賣資訊

From Minimal Contrast to Meaning Construct: Corpus-Based, Near Synonym Driven Approaches to Chinese Lexical Semantics

為了解決Knowledge synonym的問題，作者 這樣論述：

Qi Su is an Associate Professor and PhD advisor at the Institute of Linguistics & Applied Linguistics, Peking University. She received her PhD in Computer Science from Peking University in 2007. Her research interests include computational linguistics, natural language processing, and corpus linguis

tics. She is co-editor of the Springer series Chinese Lexical Semantics LNAI Volume 8229, 10709 and 11173, and she has (co-) authored over 50 publications in the areas of computational linguistics and lexical semantics. She is the recipient of the Ng Teng Fong/Xinhe Outstanding Young Scholar Award,

the Wangxuan Young Scholar Award, Peking University’s Excellence in Teaching Award, and the China Electronics Society’s first prize for Science and Technology Progress.Weidong Zhan is a Professor at the Department of Chinese Language and Literature, Peking University. His main research areas are mod

ern Chinese formal grammar, language knowledge engineering and Chinese information processing. His Ph.D. dissertation, A study of constructing rules of phrases in contemporary Chinese for Chinese information processing, was published in 2000 by Tsinghua University Press. He has co-edited two textboo

ks: Modern Chinese, which was published in 2014 by Higher Education Press; and An Introduction to Computational Linguistics, which was published in 2003 by The Commercial Press. He is the first author of the amendment of the national standard ＂General rules for writing numerals in publishing texts＂

(GB/T 15835-2011). He also compiled a user guide for the standard, which was published in 2012 by Language & Culture Press. In addition, he has also published numerous articles in leading Chinese academic journals. He was named ＂New Century Outstanding Scholar＂ in 2012 and ＂Changjiang Outstanding Yo

ung Scholar＂ in 2017 by the Ministry of Education of the People’s Republic of China.

From Minimal Contrast to Meaning Construct: Corpus-Based, Near Synonym Driven Approaches to Chinese Lexical Semantics

為了解決Knowledge synonym的問題，作者 這樣論述：

Qi Su is an Associate Professor and PhD advisor at the Institute of Linguistics & Applied Linguistics, Peking University. She received her PhD in Computer Science from Peking University in 2007. Her research interests include computational linguistics, natural language processing, and corpus linguis

tics. She is co-editor of the Springer series Chinese Lexical Semantics LNAI Volume 8229, 10709 and 11173, and she has (co-) authored over 50 publications in the areas of computational linguistics and lexical semantics. She is the recipient of the Ng Teng Fong/Xinhe Outstanding Young Scholar Award,

the Wangxuan Young Scholar Award, Peking University’s Excellence in Teaching Award, and the China Electronics Society’s first prize for Science and Technology Progress.Weidong Zhan is a Professor at the Department of Chinese Language and Literature, Peking University. His main research areas are mod

ern Chinese formal grammar, language knowledge engineering and Chinese information processing. His Ph.D. dissertation, A study of constructing rules of phrases in contemporary Chinese for Chinese information processing, was published in 2000 by Tsinghua University Press. He has co-edited two textboo

ks: Modern Chinese, which was published in 2014 by Higher Education Press; and An Introduction to Computational Linguistics, which was published in 2003 by The Commercial Press. He is the first author of the amendment of the national standard ＂General rules for writing numerals in publishing texts＂

(GB/T 15835-2011). He also compiled a user guide for the standard, which was published in 2012 by Language & Culture Press. In addition, he has also published numerous articles in leading Chinese academic journals. He was named ＂New Century Outstanding Scholar＂ in 2012 and ＂Changjiang Outstanding Yo

ung Scholar＂ in 2017 by the Ministry of Education of the People’s Republic of China.

整合頻繁項目集探勘與潛在語意分析於萃取式中文文件摘要

為了解決Knowledge synonym的問題，作者何品萱 這樣論述：

隨著網路與計算機科技的發展，人們對文本摘要的需求日益增加，文本摘要目的是將原始文章濃縮成簡短片段，有助於人們快速選讀文章或取得重點資訊。自動文本摘要可分成兩類：萃取式摘要是從原始文章挑選重要的句子組成、而抽象式摘要則分析原始文章後生成新的句子。更動字詞或句型可能扭曲原意，造成讀者不必要的誤解，因此，我們著重於萃取式摘要方法的研究。主要想法是在現有的增強型潛在語意分析(ELSA)方法加入由詞向量建立而成的同義詞字典，希望能改善因同義詞歧義而導致句子語意關聯性被忽略的問題。在實驗中，我們嘗試各種參數設定與項目集類型，發現主題較分散的文章集合即使只探勘少量的項目集也能維持不錯的摘要品質。