A variety of strategies has been proposed for computationally predicting microRNA target genes (see [1-4] for review). One important methodology uses complete annealing of microRNA and mRNA (similar to local alignments), as in miRanda [5], DIANA-microT [6], RNAhybrid [7] and the algorithm by Watanabe et al. [8]. Another methodology uses string matching of the seed region (potentially with an ex...

Lexical transfer is the point of transition between an unchangeable source text (a rook) and an infinite array of target texts (a hard place to find an acceptable one). The author's Coling86 paper (pp. 104-106) described a new methodology for testing lexical transfer in machine translation. This paper reports on the application of that methodology to a test of the DLT system and describes a syn...

Negation and speculation are common in natural language text. Many applications, such as biomedical text mining and clinical information extraction, seek to distinguish positive/factual objects from negative/speculative ones (i.e., to determine what is negated or speculated) in biomedical texts. This paper proposes a novel task, called negation and speculation target identification, to identify...

In this paper, we presents a stance detection system for NLPCC-ICCPOL 2016 share task 4. Our Stance Detection System can determinate whether the author of Weibo text is in favor of the given target, against the given target, or neither. We exploit LSTMs model and the average F score of our system is 56.56%. In contrast to the traditional target/aspect sentiment, the given target may not be pres...

Supplementing text-based learning materials with diagrams typically increases students' free recall and cued recall of the presented information. In the present experiments, we examined competing hypotheses for why this occurs. More specifically, although diagrams are visual, they also serve to repeat information from the text they accompany. Both visual presentation and repetition are known to...

This paper proposes an ad hoc retrieval method for spoken documents that uses a statistical translation technique. After transcribing the spoken documents by using a Large-Vocabulary Continuous Speech Recognition (LVCSR) decoder, a text-based ad hoc retrieval method can be directly applied to the transcribed documents. However, recognition errors will signi cantly degrade the retrieval performa...

How to get the target text quickly becomes a technical limitation with the using of massive data. While obtaining the Chinese target information, the segmentation of the sentence is supposed to be the key according to research. To mine the segmentation of English text is relatively simple for the space is used as a interval, meanwhile the Chinese segmentation is much more difficult. So in this ...

Text classification is a way to categorize data in various classes, which shows some identical properties. Data can be easily utilized if once it is stored in well arranged manner. Classification task is used in text mining for mainly two reasons one for store data in well manner in categories and another is to retrieve data as per user requirement in few milliseconds i.e. searching. If data is...