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ANSWER : A Cognitively-Inspired System for the Unsupervised Detection of Semantically Salient Words in Texts

机译：答案：用于文本中语义显着词的无监督检测的认知启发系统

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作者
Candadai Vasu Madhavun;
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年度 2015
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原文格式 PDF
正文语种 English
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1. Meanings are more than just words: A Cross-Domain Question Answering Tool based on Unsupervised Semantic Feature Learning [J] . Nripa Chetry, Debanjan Choudhary, Arindam Chatterjee, International Journal of Computer Trends and Technology . 2017,第2期

机译：含义不仅仅是单词：基于无监督语义特征学习的跨域问答工具
2. A framework for intelligent question answering system using semantic context-specific document clustering and Wordnet [J] . K KARPAGAM, A SARADHA Sadhana . 2019,第3期

机译：使用语义上下文特定的文档聚类和Wordnet的智能问答系统的框架
3. A framework for intelligent question answering system using semantic context-specific document clustering and Wordnet [J] . Karpagam K., Saradha A. Sadhana: Academy Proceedings in Engineering Science . 2019,第3期

机译：使用语义上下影文档聚类和WordNet的智能问题应答系统框架
4. ANSWER: An unsupervised attractor network method for detecting salient words in text corpora [C] . Candadai Madhavun, Vanarase Aashay, Mei Mei, International Joint Conference on Neural Networks . 2015

机译：解答：一种无监督的吸引子网络方法，用于检测文本语料库中的显着词
5. ANSWER: A Cognitively-Inspired System for the Unsupervised Detection of Semantically Salient Words in Texts [D] . Candadai Vasu, Madhavun 2015

机译：答案：认知启发性系统，用于文本中语义上显着的单词的无监督检测
6. Fast max-margin clustering for unsupervised word sense disambiguation in biomedical texts [O] . Weisi Duan, Min Song, Alexander Yates 2009

机译：快速最大边距聚类用于生物医学文本中无监督的词义消歧
7. Comparative Analysis of Keyword and Semantically Enhanced Question Answering System on Law Domain [O] . Shubhangi C. Tirpude 2020

机译：关于律领域的关键字和语义增强问题回答系统的比较分析
8. Semantics-Based Reference Resolution in Technical Text Processing: An Exploration of Using the WordNet Database in the Computerized Comprehensibility System. [R] . Kieras, D. E. 1992

机译：基于语义的技术文本处理参考分辨率：在计算机化可理解系统中使用WordNet数据库的探索。

ANSWER : A Cognitively-Inspired System for the Unsupervised Detection of Semantically Salient Words in Texts

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