To address the hesitancy, inconsistency and uncertainty of decision makers’ cognitions, linguistic interval hesitant fuzzy sets (LIHFSs) are efficient tools. This paper focuses on studying the application of LIHFSs. To do this, two correlation coefficients of LIHFSs are defined, which needn't consider the length of elements in LIHFSs or the arrangement of their possible interval values. To addr...

We compare the relative utility of different automatically computable linguistic feature sets for modeling student learning in computer dialogue tutoring. We use the PARADISE framework (multiple linear regression) to build a learning model from each of 6 linguistic feature sets: 1) surface features, 2) semantic features, 3) pragmatic features, 4) discourse structure features, 5) local dialogue ...

In this paper, we describe our participation in the fourth shared task (NLPCC-ICCPOL 2016 Shared Task 4) on the stance detection in Chinese Micro-blogs (subtask A). Different from ordinary features, we explore four linguistic features including lexical features, morphology features, semantic features and syntax features in Chinese micro-blogs in stance classifier, and get a good performance, wh...

This paper explores a new approach to speech recognition in which sub-word units are modeled in terms of linguistic features. Specifically, we have adopted a scheme of modeling separately the manner and place of articulation for these units. A novelty of our work is the use of a generalized definition of place of articulation that enables us to map both vowels and consonants into a common lingu...

Approaches in Visual Analytics have so far been developed for a wide array of research areas, mainly with a focus on industrial or business applications. The field of linguistics, however, has only marginally incorporated visualizations in its research, e.g. using simple tree representations, attribute-value matrices or network analyses. This paper suggests a new interesting field of applicatio...

The article analyzes the linguistic nature of some nuclear lexemes (power, control, authority, influence) verbalizing the basic concept of the English-language political discourse – the concept of “Power”. The paper reveals the structure of the concept, its conceptual features, as well as the main characteristics of the concept representatives at the language and functional levels.

Most recent studies on emotion analysis and detection focus on how writers express their emotions through textual information. In this paper, we model emotion generation on the Plurk microblogging platform from both writer and reader perspectives. Support Vector Machine (SVM)-based classifiers are used for emotion prediction. To better model emotion generation on such a social network, three ty...

Social media platforms have opened new dimensions within the information retrieval domain leading to a novel concept known as Social Information Retrieval. We argue that the concept of Social Information Retrieval can be extended by augmenting the huge amount of content on the traditional Web with the ever-growing rich Social Web content to increase the information richness of today’s search en...