图 书 馆
挖掘网络的意义Mining the Web for Meaning |
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| 课程网址: | http://videolectures.net/ecmlpkdd2011_turney_10years/ |
| 主讲教师: | Peter D. Turney |
| 开课单位: | 加拿大国家研究委员会 |
| 开课时间: | 2011-10-03 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In 2001, ECML PKDD published my paper, Mining the Web for Synonyms. In 2011, they chose this paper for their 10 Year Award for "the paper that was published 10 years ago in the proceedings of ECML PKDD and proved to be important in terms of scientific or other impact". They asked me to speak about my "experience in the 10 years of scientific endeavor" from 2001 to 2011. The 2001 paper was my first publication on a theme that has subsequently dominated my research: How can we use huge amounts of text, gathered from the Web, to figure out what words mean? Briefly, in the last decade, my research has gone from Mining the Web for Synonyms to Mining the Web for Meaning. This area of research is known as Statistical Semantics, Distributional Semantics, or Geometrical Semantics, and it is a topic of several new conferences and workshops (e.g., DISCO, GEMS, IWCS, RELMS). The scope and ambition of the research has expanded from synonyms to antonyms, meronyms, hypernyms, analogies, sentiment, emotion, semantic relations, abstraction, and metaphor. The focus has expanded from words to phrases and sentences. Many in the field believe that Statistical Semantics has the potential to cover all aspects of meaning of natural language. We believe that Statistical Semantics will enable computers to understand human language. |
| 关 键 词: | 挖掘网络; 同义词; 统计语义学 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-07：cwx |
| 阅读次数: | 70 |