Description: AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text.
It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation,
sentence deconstruction and semantic analysis. Platform: |
Size: 49251 |
Author:何为 |
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Description: AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text.
It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation,
sentence deconstruction and semantic analysis. -AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis. Platform: |
Size: 49152 |
Author:何为 |
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Description: 利用贝叶斯分类原理实现多义词的消歧。首先利用训练语料进行训练，然后基于机器已经获取的知识的基础上对生语料进行词义标注。-Realize the principle of the use of Bayesian classification polysemous word sense disambiguation. First of all, the use of training corpus for training, and then the machine has been based on knowledge gained on the basis of corpus for semantic tagging of Health. Platform: |
Size: 3308544 |
Author:雷 |
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Description: 自然語言處理作業(NLP)-期中考試卷訂正
Term Explanation(需各舉一個例子做說明)-Word-sense disambiguation
In computational linguistics, word sense disambiguation (WSD) is the process of identifying which sense of a word is used in any given sentence, when the word has a number of distinct senses.
For example, consider two examples of the distinct senses that exist for the word bass: Platform: |
Size: 77824 |
Author:何昊天 |
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Description: 语义相似度计算是自然语言处理中的一个关键过程,在机器翻译、自动问答、句法分析、词义排歧等
领域都有着广泛的应用-Semantic similarity calculation is a key process in natural language processing, machine translation, automatic question answering, parsing, word sense disambiguation
Fields have a wide range of applications Platform: |
Size: 40960 |
Author:王海涛 |
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Search - word sense disambiguation