Search results for "natural language processing"
showing 10 items of 413 documents
Structural Knowledge Extraction from Mobility Data
2016
Knowledge extraction has traditionally represented one of the most interesting challenges in AI; in recent years, however, the availability of large collections of data has increased the awareness that “measuring” does not seamlessly translate into “understanding”, and that more data does not entail more knowledge. We propose here a formulation of knowledge extraction in terms of Grammatical Inference (GI), an inductive process able to select the best grammar consistent with the samples. The aim is to let models emerge from data themselves, while inference is turned into a search problem in the space of consistent grammars, induced by samples, given proper generalization operators. We will …
Eine neue Technik der Bronchospirometrie
1972
The EDNAP mitochondrial DNA population database (EMPOP) collaborative exercises: organisation, results and perspectives.
2003
This paper presents an overview of the organisation and the results of the collaborative exercises (CE) of the European DNA Profiling (EDNAP) Group's mitochondrial DNA population database project (EMPOP). The aim of the collaborative exercises was to determine whether uniformity of mtDNA sequencing results could be achieved among different laboratories. These were asked to sequence either the complete mtDNA control region or the two hypervariable regions HVI (16024-16365) and HVII (73-340) from DNA extracts, buccal swabs or bloodstains, proceeding in accordance with the protocol and strategies used in each individual laboratory. The results of the collaborative exercises were employed to id…
Sensory evaluation based on verbal judgments
1999
Studies of the repeatability and the homogeneity of expert panel scores in sensory profiling show that lasting and reliable evaluations of food products are difficult to obtain: strong inter- and intra-individual differences are commonly observed. Our hypothesis is that this variability is due to quantification methods that consist of asking panelists to furnish quantitative values (by attributing a numerical point to perceived intensity) and that using natural language in the form of verbal judgements in a hierarchical tree would allow improving the reliability of sensory evaluations. This hypothesis was tested by comparing a numerical value scale and a specific hierarchical semantic scale…
Unsupervised quantitative methods to analyze student reasoning lines: Theoretical aspects and examples
2019
[This paper is part of the Focused Collection on Quantitative Methods in PER: A Critical Examination.] A relevant aim of research in education is to find and study the reasoning lines that students deploy when dealing with problematic situations. This can be done through an analysis of the answers students give to a questionnaire. In this paper, we discuss some methodological aspects involved in the quantitative analysis of a questionnaire by means of two different clustering methods, a hierarchical one and a nonhierarchical one. We start from the coding procedures needed to obtain analyzable data from the questionnaire and from a definition of a correlation coefficient suitable for measuri…
Bayesian Modelling of Confusability of Phoneme-Grapheme Connections
2007
Deficiencies in the ability to map letters to sounds are currently considered to be the most likely early signs of dyslexia. This has motivated the use of Literate, a computer game for training this skill, in several Finnish schools and households as a tool in the early prevention of reading disability. In this paper, we present a Bayesian model that uses a student's performance in a game like Literate to infer which phoneme-grapheme connections student currently confuses with each other. This information can be used to adapt the game to a particular student's skills as well as to provide information about the student's learning progress to their parents and teachers. We apply our model to …
Layout attributes and recall
2003
The spatial arrangement of elements such as icons in a computer interface may influence learning the interface. However, the effects of layout organization on users' information processing is relatively little studied so far. The three experiments of this paper examined two attributes of layouts: spatial grouping by proximity and semantic coherence. Learning was assessed by tasks in which 30 participants recalled icon-like items' labels, locations, or both as a series of study-recall trials. The results show that layout organization interacts with task demands. Semantic organization improves recall of labels, and spatial grouping supports recall of locations. When both labels and locations …
Recall of common and uncommon words from pure and mixed lists
1980
Recall of high- and low-frequency words in the conventional free recall paradigm was compared with recall of the same words when subjects were required to count backward before and after the presentation of each word. The addition of this distractor task was associated with a reduction in the high-frequency advantage otherwise found with pure lists containing only high- or low-frequency words. This finding is attributed to the disruption of organizational processes. In contrast, the low-frequency advantage found with conventional presentation of mixed lists, containing high- and low-frequency words, was not reduced by distraction. These findings indicate that the frequency effects obtained …
Corpus Analysis and Register Variation: a field in need of an update
2013
Abstract This study reviews the development of research on register variation (RV) over the last century to the present, emphasizing the influence of corpus analyses on its greatest advances and also on its major weaknesses and ambiguities. In search of practical and useful methods to analyse language registers, in the second part of the paper, the authors sketch a different approach to RV which has been used over the last ten years in language teaching at university level and professional communication training.
Register Variation Across English Pharmaceutical Texts: A Corpus-driven Study of Keywords, Lexical Bundles and Phrase Frames in Patient Information L…
2013
Abstract This study constitutes an initial step towards filling a gap in corpus linguistics studies of linguistic and phraseological variation across English pharmaceutical texts, in particular in terms of recurrent linguistic patterns. The study conducted from a register- perspective ( Biber & Conrad, 2009 ), which employs both quantitative and qualitative research procedures, aims to provide a corpus-driven description of vocabulary and phraseology, namely key words, lexical bundles, and phrase frames, used in patient information leaflets and summaries of product characteristics (represented by 463 and 146 texts, respectively) written originally in English and collected in two domain-spec…