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Opinion target extraction aims to find the object to which an opinion is expressed. It is helpful in getting a comprehensive understanding about public opinions on hot spot social events. In Chinese microblog posts analysis, due to the absence of words with emotional tendency (opinion words), traditional approaches relying on opinion words are not suitable. In this paper, we propose an unsupervised...
The goal of medical concept extraction is to identify phrases that refer to medical concepts of interest such as problems, treatments and tests from medical documents. In this study, three types of medical concept extraction models are developed and then compared them. The first concept extraction task is mainly based upon semantic features obtained from a domain-knowledge based method using MetaMap,...
As a newly shopping tool, electronic commerce has been drawing more and more attention of researchers. According to the characteristics of comments diversity, it is necessary to extract evaluation object which is an important component of sentiment information. This paper explores Conditional Random Field (CRF) to do evaluation objects extraction. After observing generally used features in sentiment...
Since there has been an explosive growth of online documents, the knowledge extraction from natural language texts becomes more important to complement limited human ability. In this paper, we introduce existing methods for temporal information extraction from input texts in two viewpoints. One is the researches about language-independent feature generation. Even though linguistic features have been...
In this work we present a novel method that generates compact semantic models for inferring human coordinated activities, including tasks that require the understanding of dual arms sequencing. These models are robust and invariant to observation from different executions styles of the same activity. Additionally, the obtained semantic representations are able to re-use the acquired knowledge to infer...
In recent years, the E-commercial plays an important role in people's daily life. When on the Internet, people often buy commodities from Taobao, Tmall and make comments on them, the comments of the goods may have closely connections with commercial value, which often reflect what's the consumers really care when they choose one piece of good among thousands of other similar ones. How to mining these...
In the paper, we proposed a method called text block division based on text segmentation. Through steps like discourse structure analysis, relevance score computation and features' significance estimate, we divide the entire text into several blocks, each block containing common topic events. Thus, we get well prepared for event type identification. Experiments prove that our method is effective and...
Events extraction is an important part of information extraction, at present, most events extraction aim at extracting events themselves but do not consider whether the events have already happened. This paper focuses on the events named willing events which have a leady proposed and made sure to happen but not yet happened currently. There exist quite a number of willing events in many areas, and...
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