نتایج جستجو برای: stance expressions

تعداد نتایج: 80367  

Journal: :Journal of Islamic and Middle Eastern Multidisciplinary Studies: Mathal 2015

2013
Kazi Saidul Hasan Vincent Ng

Determining the stance expressed by an author from a post written for a twosided debate in an online debate forum is a relatively new problem. We seek to improve Anand et al.’s (2011) approach to debate stance classification by modeling two types of soft extra-linguistic constraints on the stance labels of debate posts, user-interaction constraints and ideology constraints. Experimental results...

2016
Nigel G. Ward Nikolaos Malandrakis Ravi Starzl

Aspects of stance have significant potential for information retrieval and filtering. This technical report is intended primarily to motivate and document details of the data and annotations used in the work reported in Inferring Stance from Prosody [Ward et al., 2016a]. It describes the process of identifying 14 important aspects of stance, describes two radio-broadcast corpora for investigati...

2015
Kyong-Il Ki Mi-Sun Kim Young Moon Jong-Duk Choi

[Purpose] This study examined the effects of auditory feedback during gait on the weight bearing of patients with hemiplegia resulting from a stroke. [Subjects] Thirty hemiplegic patients participated in this experiment and they were randomly allocated to an experimental group and a control group. [Methods] Both groups received neuro-developmental treatment for four weeks and the experimental g...

2017
Gina-Anne Levow Richard A. Wright

Stance-taking, the expression of opinions or attitudes, informs the process of negotiation, argumentation, and decisionmaking. While receiving significant attention in text materials in work on the related areas of subjectivity and sentiment analysis, the expression of stance in speech remains less explored. Prior analysis of the acoustics of stance-expression in conversational speech has ident...

2016
Braja Gopal Patra Dipankar Das Sivaji Bandyopadhyay

We describe the system submitted to the SemEval-2016 for detecting stance in tweets (Task 6, Subtask A). One of the main goals of stance detection is to automatically determine the stance of a tweet towards a specific target as ‘FAVOR’, ‘AGAINST’, or ‘NONE’. We developed a supervised system using Support Vector Machines to identify the stance by analyzing various lexical and semantic features. ...

2016
David L. Mann Oliver R. Runswick Peter M. Allen

BACKGROUND When first learning to bimanually use a tool to hit a target (e.g., when chopping wood or hitting a golf ball), most people assume a stance that is dictated by their dominant hand. By convention, this means that a 'right-handed' or 'left-handed' stance that places the dominant hand closer to the striking end of the tool is adopted in many sports. OBJECTIVE The aim of this study was...

A Ehsan Saleh A.H Yazdani Fatemeh Salari M Anbariyan

Background & Aims: The purpose of this study was to determine the immediate effect of patella support brace on co-contraction and electromyographic activity of selected lower limb muscles in females with patellofemoral pain syndrome during stance phase of gait. Methods: EMG activity of vastus lateralis, vastus medialis, rectus femoris, gastrocnemius, biceps femoris, semitendinosus, gluteus medi...

Journal: :Nations and Nationalism 2022

Abstract Prompted by recent scholarly debates on the distinction between populism and nationalism, we elaborate Laclaudian understanding of as an antagonistic form us‐building/community‐making that relies extension equivalential chains demands. From this heuristic perspective, can be understood empty to filled with different contents, such nationalism. Our radically anti‐essentialist stance com...

2016
Amita Misra Brian Ecker Theodore Handleman Nicolas Hahn Marilyn A. Walker

Stance classification aims to identify, for a particular issue under discussion, whether the speaker or author of a conversational turn has Pro (Favor) or Con (Against) stance on the issue. Detecting stance in tweets is a new task proposed for SemEval-2016 Task6, involving predicting stance for a dataset of tweets on the topics of abortion, atheism, climate change, feminism and Hillary Clinton....

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