Enhancing search results with semantic annotation using augmented browsing

Hong Jie Dai, Wei Chi Tsai, Richard Tzong Han Tsai, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, we describe how we integrated an artificial intelligence (AT) system into the PubMed search website using angmented browsing technology. Our system dynamically enriches the PubMed search results displayed in a user's browser with semantic annotation provided by several natural language processing (NLP) subsystems, including a sentence splitter, a part-of-speech tagger, a named entity recognizer, a section categorizer and a gene normalizer (GN). After our system is installed, the PubMed search results page is modified on the fly to categorize sections and provide additional information on gene and gene products identified by our NLP subsystems. In addition, GN involves three main steps: candidate ID matching, false positive filtering and disambiguation, which are highly dependent on each other. We propose a joint model using a Markov logic network (MLN) to model the dependencies found in GN. The experimental results show that our joint model outerforms a baseline system that executes the three steps separately. The developed system is available at https://sites.google.com/site/pubmedannotationtool4ijcai/home.

原文???core.languages.en_GB???
主出版物標題IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence
頁面2418-2423
頁數6
DOIs
出版狀態已出版 - 2011
事件22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 - Barcelona, Catalonia, Spain
持續時間: 16 7月 201122 7月 2011

出版系列

名字IJCAI International Joint Conference on Artificial Intelligence
ISSN(列印)1045-0823

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???22nd International Joint Conference on Artificial Intelligence, IJCAI 2011
國家/地區Spain
城市Barcelona, Catalonia
期間16/07/1122/07/11

指紋

深入研究「Enhancing search results with semantic annotation using augmented browsing」主題。共同形成了獨特的指紋。

引用此