In this paper we describe how to mine association rules in temporal document collections. We describe how to perform the various steps in the temporal text mining process, including data cleaning, text refinement, temporal association rule mining and rule post-processing. We also describe the Temporal Text Mining Testbench, which is a user-friendly and versatile tool for performing temporal tex...

This paper describes our ongoing research project on text simplification for congenitally deaf people. Text simplification we are aiming at is the task of offering a deaf reader a syntactic and lexical paraphrase of a given text for assisting her/him to understand what it means. In this paper, we discuss the issues we should address to realize text simplification and report on the present resul...

Existing methods for text detection in images are simple: most of them are based on texture estimation or edge detection followed by an accumulation of these characteristics. Geometrical constraints are enforced by most of the methods. However, it is done in a morphological post-processing step only. It is obvious, that a weak detection is very difficult — up to impossible — to correct in a pos...

Quality control in crowdsourcing systems is crucial. It is typically done after data collection, often using additional crowdsourced tasks to assess and improve the quality. These post-hoc methods can easily add cost and latency to the acquisition process—particularly if collecting high-quality data is important. In this paper, we argue for pre-hoc interface optimizations based on feedback that...

This paper summarises the results of a pilot project conducted to investigate the correlation between automatic evaluation metric scores and post-editing speed on a segment by segment basis. Firstly, the results from the comparison of various automatic metrics and post-editing speed will be reported. Secondly, further analysis is carried out by taking into consideration other relevant variables...

This paper describes a Chinese word segmentation system that is based on majority voting among three models: a forward maximum matching model, a conditional random field (CRF) model using maximum subword-based tagging, and a CRF model using minimum subwordbased tagging. In addition, it contains a post-processing component to deal with inconsistencies. Testing on the closed track of CityU, MSRA ...

Biomedical event extraction systems have the potential to provide a reliable means of enhancing knowledge resources and mining the scientific literature. However, to achieve this goal, it is necessary that current event extraction models are improved, such that they can be applied confidently to unseen data with a minimal rate of error. Motivated by this requirement, this work targets a particu...

many students are being faced to some problems in instructive skills such as reading and comprehension especially when they study literary texts, [1]both in school and university. to solve this problem, such skills should [2]be taught with a method that the learner(s) has an active relation to the text and its components. he (she) should be able to make a connection between the text and his (he...