نتایج جستجو برای: conversation t263

تعداد نتایج: 16115  

Journal: :journal of research in applied linguistics 0
sara shahani department of english, isfahan (khorasgan) branch, islamic azad university, isfahan, iran azizeh chalak department of english, isfahan (khorasgan) branch, islamic azad university, isfahan, iran

the present research aimed at investigating the interaction of the classroom talk to have a better understanding of the teachers’ practice teaching which can pave the way for reflection on teaching. the study benefitted from conversation analytic perspective to qualitatively and interpretively examine the classroom discourse of the teacher-learner interaction. the classroom talk was analyzed th...

2000
Mariusz Nowostawski Martin Purvis Stephen Cranefield

The notion of conversations, and their associated conversation protocols, as abstract representations to be used to characterise extended agent message exchanges has been discussed in the agent community for several years now. However, there is still no consensus on an appropriate formal specification for these abstractions. This paper describes a proposed formalism based on Petri Nets that is ...

2005
Jianwen Su

The conversation model captures interactions among the components of a composite web service. A conversation is the global sequence of messages exchanged among the components. We discuss the impact of asynchronous communication on the conversation behavior. It turns out that the conversation behavior is significantly different for synchronous and asynchronous communication and demands new techn...

2007
Tevfik Bultan Xiang Fu Jianwen Su

Conversations provide an intuitive and simple model for analyzing interactions among composite web services. A conversation is the global sequence of messages exchanged among the peers participating to a composite web service. Interactions in a composite web service can be analyzed by investigating the temporal properties of its conversations. Conversations can be specified in a top-down or bot...

2013
Hao Wang Zhengdong Lu Hang Li Enhong Chen

Natural language conversation is widely regarded as a highly difficult problem, which is usually attacked with either rule-based or learning-based models. In this paper we propose a retrieval-based automatic response model for short-text conversation, to exploit the vast amount of short conversation instances available on social media. For this purpose we introduce a dataset of short-text conve...

Journal: :ANZTLA EJournal 2019

Journal: :Discourse Studies 2006

Journal: :International Journal for Research in Applied Science and Engineering Technology 2021

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