 Learning-based text mining has the potential to save time and resources in analysing free-text data from patients.  The possibility of using this approach, and the quality of the results that it produces, are dependent upon the size and quality of the training data sets available for sorting the free-text material.  Care must be taken when verifying the data sorted by text mining, ensuring ...

Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy and the performance of NLP applications. We are constructing a broad-coverage lexical resource to improve the accuracy of morphological analyzers and part-of-speech taggers of Arabic text. Over the past 1200 years, many different kinds of Arabic language lexicons were constructed; these lexicons...

BACKGROUND High rates of obesity are a significant issue amongst Indigenous populations in many countries around the world. Media framing of issues can play a critical role in shaping public opinion and government policy. A broad range of media analyses have been conducted on various aspects of obesity, however media representation of Indigenous obesity remains unexplored. In this study we inve...

Neural sequence-to-sequence models have provided a viable new approach for abstractive text summarization (meaning they are not restricted to simply selecting and rearranging passages from the original text). However, these models have two shortcomings: they are liable to reproduce factual details inaccurately, and they tend to repeat themselves. In this work we propose a novel architecture tha...

This investigation assessed the written keystroke savings of five available assistive communication technologies (ACTs): E Z Keys, Predictive Linguistic Program, Words Strategy, Write 100, and a generic encoding technique. Each ACT was used to type 20 written expository texts composed by nondisabled individuals from four grade levels (4th, 8th, 12th, and college). Evaluation of keystroke saving...

Due to the inherent difficulty of processing noisy text, the potential of the Web as a decentralized repository of human knowledge remains largely untapped during Web search. The access to billions of binary relations among named entities would enable new search paradigms and alternative methods for presenting the search results. A first concrete step towards building large searchable repositor...

the global investigation of disasters in recent years shows that their number has increased annually and the number of affected people and costs of disasters are increasing

The following paper deals with an automatic text classification method which does not require training documents. For this method the German Subject Heading Authority File (SWD), provided by the linked data service of the German National Library is used. Recently the SWD was enriched with notations of the Dewey Decimal Classification (DDC). In consequence it became possible to utilize the subje...

Writing aids such as spelling and grammar checkers are often based on texts by adult writers and are not sufficiently targeted to support children in their writing process. This paper reports on the development of a writing tool based on a corpus of Swedish text written by children and on the parsing methods developed to handle text containing errors. The system uses finite state techniques for...

Most state-of-the-art wide-coverage parsers are trained on newspaper text and suffer a loss of accuracy in other domains, making parser adaptation a pressing issue. In this paper we demonstrate that a CCG parser can be adapted to two new domains, biomedical text and questions for a QA system, by using manually-annotated training data at the POS and lexical category levels only. This approach ac...