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- Communication skills (1)
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Articles 1 - 5 of 5
Full-Text Articles in Computational Linguistics
Towards A Computational Model Of Frame Of Reference Alignment In Swedish Dialogue, Simon Dobnik, Christine Howes, Kim Demaret, John D. Kelleher
Towards A Computational Model Of Frame Of Reference Alignment In Swedish Dialogue, Simon Dobnik, Christine Howes, Kim Demaret, John D. Kelleher
Conference papers
In this paper we examine how people negotiate, interpret and repair the frame of reference (FoR) in online text based dialogues discussing spatial scenes in Swedish. We describe work-in-progress in which participants are given different perspectives of the same scene and asked to locate several objects that are only shown on one of their pictures. This task requires participants to coordinate on FoR in order to identify the missing objects. This study has implications for situated dialogue systems.
Providing Objective Metrics Of Team Communication Skills Via Interpersonal Coordination Mechanisms, Celine De Looze, Brian Vaughan, Finnian Kelly, Alison Kay
Providing Objective Metrics Of Team Communication Skills Via Interpersonal Coordination Mechanisms, Celine De Looze, Brian Vaughan, Finnian Kelly, Alison Kay
Conference Papers
Being able to communicate efficiently has been acknowledged as a vital skill in many different domains. In particular, team communication skills are of key importance in the operation of complex machinery such as aircrafts, maritime vessels and such other, highly-specialized, civilian or military vehicles, as well as the performance of complex tasks in the medical domain. In this paper, we propose to use prosodic accommodation and turn- taking organisation to provide objective metrics of communica- tion skills. To do this, human-factors evaluations, via a coordi- nation Demand Analysis (CDA), were used in conjunction with a dynamic model of prosodic accommodation …
The Effect Of Sensor Errors In Situated Human-Computer Dialogue, Niels Schütte, John D. Kelleher, Brian Mac Namee
The Effect Of Sensor Errors In Situated Human-Computer Dialogue, Niels Schütte, John D. Kelleher, Brian Mac Namee
Conference papers
Errors in perception are a problem for computer systems that use sensors to perceive the environment. If a computer system is engaged in dialogue with a human user, these problems in perception lead to problems in the dialogue. We present two experiments, one in which participants interact through dialogue with a robot with perfect perception to fulfil a simple task, and a second one in which the robot is affected by sensor errors and compare the resulting dialogues to determine whether the sensor problems have an impact on dialogue success.
New Trends In Automatic Assessment: Ontology Matching, Maria Mitina, Patricia Magee, John Cardiff
New Trends In Automatic Assessment: Ontology Matching, Maria Mitina, Patricia Magee, John Cardiff
Conference Papers
Instant individual feedback represents a result of assessment which allows for considerable improvements in both teaching and learning. In this paper we present the application of ontology matching techniques in automatic correction of students’ answers for SQL tests, which will provide teachers with instant feedback to facilitate manual correction and marking and which they can pass to the students. Students experience many problems learning SQL due to the necessity to memorise database schemas, unclear feedback from the database engine on the execution of the query, etc. The program environment utilising the described approach is designed to solve the abovementioned problems …
Personal Sense And Idiolect: Combining Authorship Attribution And Opinion Analysis, Polina Panicheva, John Cardiff, Paolo Rosso
Personal Sense And Idiolect: Combining Authorship Attribution And Opinion Analysis, Polina Panicheva, John Cardiff, Paolo Rosso
Conference Papers
Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. We believe that by combining information about subjectivity in texts and authorship, the performance of both tasks can be improved. In the paper a personalized approach to opinion mining is presented, in which the notions of personal sense and idiolect are introduced and used for polarity classification task. The results of applying the personalized approach to opinion mining are presented, confirming that the approach increases the performance of the opinion mining task. Automatic authorship attribution is further applied to …