Today’s researchers expect to be able complete text and data mining (TDM) work on many types of textual data. But they are often blocked more by contractual limitations what can use, how use it, than may available them. This article lays out the different TDM processes currently in issues that block from being do would like, some possible solutions.

Extreme Programming is the most prominent new, light-weight (or agile) methods, defined to contrast the current heavy-weight and partially overloaded object-oriented methods. It focuses on the core issues of software technology. One of its principles is not to rely on diagrams to document a system. In this paper, we examine what properties a modeling language like UML must have in order to supp...

Supervised clustering is a data mining technique that assigns a set of data to predefined classes by analyzing dataset attributes. It is considered as an important technique for information retrieval, management, and mining in information systems. Since customer satisfaction is the main goal of organizations in modern society, to meet the requirements, 137 call center of Tehran city council is ...

This study set out to explore whether different input enhancement tasks as implicit instruction techniques had any significant impact on the intake of causative verbs in English as a foreign language among Iranian EFL learners. For this purpose, three intact classes consisting of 75 male and female intermediate L2 learners were randomly divided into three conditions: simultaneous grammar consci...

This quasi-experimental study examined the effects of input-based, meaning-based output (MO) and traditional instruction (TI) on EFL learners’ grammar learning. To this end, 120 junior high school students were selected from 4 intact classes. Each class was assigned to an instructional condition, that is, textual enhancement (TE), input flood (IF), MO, and TI. Before the treatment, a multiple-c...

This paper reports on experiments in the creation of a bi-lingual Textual Entailment corpus, using non-experts’ workforce under strict cost and time limitations ($100, 10 days). To this aim workers have been hired for translation and validation tasks, through the CrowdFlower channel to Amazon Mechanical Turk. As a result, an accurate and reliable corpus of 426 English/Spanish entailment pairs h...

Sentence intersection captures the semantic overlap of two texts, generalizing over paradigms such as textual entailment and semantic text similarity. Despite its modeling power, it has received little attention because it is difficult for non-experts to annotate. We analyze 200 pairs of similar sentences and identify several underlying properties of sentence intersection. We leverage these ins...

This paper describes the medical image retrieval and annotation tasks of ImageCLEF 2006. Both tasks are described with respect to goals, databases, topics, results, and techniques. The ImageCLEFmed retrieval task had 12 participating groups (100 runs). Most runs were automatic, with only a few manual or interactive. Purely textual runs were in the majority compared to purely visual runs but mos...