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- Prepositions (2)
- Situated Dialog (2)
- Spatial Templates (2)
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- Authorship attribution (1)
- Human Robot Interaction (1)
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Articles 1 - 6 of 6
Full-Text Articles in Computational Linguistics
Visual Salience And Reference Resolution In Situated Dialogues: A Corpus-Based Evaluation., Niels Schütte, John D. Kelleher, Brian Mac Namee
Visual Salience And Reference Resolution In Situated Dialogues: A Corpus-Based Evaluation., Niels Schütte, John D. Kelleher, Brian Mac Namee
Conference papers
Dialogues between humans and robots are necessarily situated and so, often, a shared visual context is present. Exophoric references are very frequent in situated dialogues, and are particularly important in the presence of a shared visual context - for example when a human is verbally guiding a tele-operated mobile robot. We present an approach to automatically resolving exophoric referring expressions in a situated dialogue based on the visual salience of possible referents. We evaluate the effectiveness of this approach and a range of different salience metrics using data from the SCARE corpus which we have augmented with visual information. The …
Situating Spatial Templates For Human-Robot Interaction, John D. Kelleher, Robert J. Ross, Brian Mac Namee, Colm Sloan
Situating Spatial Templates For Human-Robot Interaction, John D. Kelleher, Robert J. Ross, Brian Mac Namee, Colm Sloan
Conference papers
People often refer to objects by describing the object's spatial location relative to another object. Due to their ubiquity in situated discourse, the ability to use 'locative expressions' is fundamental to human-robot dialogue systems. A key component of this ability are computational models of spatial term semantics. These models bridge the grounding gap between spatial language and sensor data. Within the Artificial Intelligence and Robotics communities, spatial template based accounts, such as the Attention Vector Sum model (Regier and Carlson, 2001), have found considerable application in mediating situated human-machine communication (Gorniak, 2004; Brenner et a., 2007; Kelleher and Costello, 2009). …
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 …
Topology In Composite Spatial Terms, John D. Kelleher, Robert J. Ross
Topology In Composite Spatial Terms, John D. Kelleher, Robert J. Ross
Conference papers
People often refer to objects by describing the object's spatial location relative to another object, e.g. the book on the right of the table. This type of referring expression is called a spatial locative expression. Spatial locatives have three major components: (1) the target object that is being located (the book), (2) the landmark object relative to which the target is being located (the table), and (3) the description of the spatial relationship that exists between the target and the landmark (on the right of ). In English spatial relationships are often described using spatial prepositions. The set of English …
Proceedings Of The Sixth International Natural Language Generation Conference (Inlg 2010)., John D. Kelleher, Brian Mac Namee, Ielka Van Der Sluis
Proceedings Of The Sixth International Natural Language Generation Conference (Inlg 2010)., John D. Kelleher, Brian Mac Namee, Ielka Van Der Sluis
Conference papers
No abstract provided.
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 …