OBJECTIVE This study focusses on the optimal paradigm for simultaneous assessment of auditory and phonemic discrimination in clinical populations. We investigated (a) whether pitch and phonemic deviants presented together in one sequence are able to elicit mismatch negativities (MMNs) in healthy adults and (b) whether MMN elicited by a change in pitch is modulated by the presence of the phonemi...

This paper describes the system that was submitted to SemEval2016 Task 11: Complex Word Identification. It presents a preliminary investigation into exploring word difficulty for non-native English speakers. We developed two systems using Nearest Centroid Classification technique to distinguish complex words from simple words. Optimized over G-score, the presented solution obtained a G-score of...

This paper reports on research activities on automatic methods for the enrichment of the Senso Comune platform. At this stage of development, we will report on two tasks, namely word sense alignment with MultiWordNet and automatic acquisition of Verb Shallow Frames from sense annotated data in the MultiSemCor corpus. The results obtained are satisfying. We achieved a final F-measure of 0.64 for...

Obtaining a useful complete overview of Web-based product information has become difficult nowadays due to the ever-growing amount of information available on online shops. Findings from previous studies suggest that better search capabilities, such as the exploitation of annotated data, are needed to keep online shopping transparent for the user. Annotations can, for example, help present info...

background and purpose: the relation of comprehensive exams scores and other measures of students’ performance has been of great importance. this study is an attempt to assess the associations between medical students’ scores in physiopathology and clinical courses and to compare these scores with their scores in the comprehensive exams. methods: medical students’ scores in their courses and al...

The main disadvantage of collocation-based word sense disambiguation is that the recall is low, with relatively high precision. How to improve the recall without decrease the precision? In this paper, we investigate a word-class approach to extend the collocation list which is constructed from the manually sense-tagged corpus. But the word classes are obtained from a larger scale corpus which i...

Parallelism is an important rhetorical device. We propose a machine learning approach for automated sentence parallelism identification in student essays. We build an essay dataset with sentence level parallelism annotated. We derive features by combining generalized word alignment strategies and the alignment measures between word sequences. The experimental results show that sentence parallel...

This document describes the improvements of the Wikipedia Miner word sense disambiguation algorithm. The original algorithm performs very well in detecting key terms in documents and disambiguating them against Wikipedia articles. By replacing the original Normalized Google Distance inspired measure with Jaccard coefficient inspired measure and taking into account additional features, the disam...

HIT-IR-WSD is a word sense disambiguation (WSD) system developed for English lexical sample task (Task 11) of Semeval 2007 by Information Retrieval Lab, Harbin Institute of Technology. The system is based on a supervised method using an SVM classifier. Multi-resources including words in the surrounding context, the partof-speech of neighboring words, collocations and syntactic relations are use...