However, our results are favorable for the development of a large scale text mining system based on SRL.
Due to the redundancy of interaction information contained in literature, we expect that the recall rate of a large scale SENNA based text mining (TM) system is significantly higher on the relation level than the observed 43% on the sentence level.
The release of the PMC open access corpus in the BioC XML format is important because it will provide a large scale corpus of full text articles in the biomedical domain, fully and freely available for biomedical research in an easy-to-use format for text processing applications.
Finding topics from a collection of documents, such as research publications, patents, and technical reports, is helpful for summarizing large scale text collections and the world wide web.
Given large-scale implementation of text-based support, advertising costs are likely to be lower than those incurred when advertising the opportunity to participate in a smoking cessation trial.
As the sheer size of unstructured text data keeps increasing, there is a need to understand and extract information from large scale texts or the world wide web.
We show that the accuracy as well as processing speed of the proposed semantic relation extraction approach is sufficient for its large scale application on biomedical text.
Both of these would be influenced strongly by the scale of text-based support were it to be implemented, the larger the scale the lower the cost per smoker.
In this study, we report what we think is the first large scale content-analysis of cross-linguistic text in the social sciences, by using various artificial intelligence techniques.
In this study, we report what we think is the first large scale content-analysis of cross-linguistic text in the social sciences, by deploying various artificial intelligence techniques including recent advances in machine translation [17], [18] and text analysis [19].
