286,905 research outputs found
Natural language processing
Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems
Affect and Metaphor Sensing in Virtual Drama
We report our developments on metaphor and affect sensing for several metaphorical language phenomena including affects as external entities metaphor, food metaphor, animal metaphor, size metaphor, and anger metaphor. The metaphor and affect sensing component has been embedded in a conversational intelligent agent interacting with human users under loose scenarios. Evaluation for the detection of several metaphorical language phenomena and affect is provided. Our paper contributes to the journal themes on believable virtual characters in real-time narrative environment, narrative in digital games and storytelling and educational gaming with social software
Towards Understanding Egyptian Arabic Dialogues
Labelling of user's utterances to understanding his attends which called
Dialogue Act (DA) classification, it is considered the key player for dialogue
language understanding layer in automatic dialogue systems. In this paper, we
proposed a novel approach to user's utterances labeling for Egyptian
spontaneous dialogues and Instant Messages using Machine Learning (ML) approach
without relying on any special lexicons, cues, or rules. Due to the lack of
Egyptian dialect dialogue corpus, the system evaluated by multi-genre corpus
includes 4725 utterances for three domains, which are collected and annotated
manually from Egyptian call-centers. The system achieves F1 scores of 70. 36%
overall domains.Comment: arXiv admin note: substantial text overlap with arXiv:1505.0308
A Study of User's Performance and Satisfaction on the Web Based Photo Annotation with Speech Interaction
This paper reports on empirical evaluation study of users' performance and
satisfaction with prototype of Web Based speech photo annotation with speech
interaction. Participants involved consist of Johor Bahru citizens from various
background. They have completed two parts of annotation task; part A involving
PhotoASys; photo annotation system with proposed speech interaction and part B
involving Microsoft Microsoft Vista Speech Interaction style. They have
completed eight tasks for each part including system login and selection of
album and photos. Users' performance was recorded using computer screen
recording software. Data were captured on the task completion time and
subjective satisfaction. Participants need to complete a questionnaire on the
subjective satisfaction when the task was completed. The performance data show
the comparison between proposed speech interaction and Microsoft Vista Speech
interaction applied in photo annotation system, PhotoASys. On average, the
reduction in annotation performance time due to using proposed speech
interaction style was 64.72% rather than using speech interaction Microsoft
Vista style. Data analysis were showed in different statistical significant in
annotation performance and subjective satisfaction for both styles of
interaction. These results could be used for the next design in related
software which involves personal belonging management.Comment: IEEE Publication Format,
https://sites.google.com/site/journalofcomputing
- …