نتایج جستجو برای: dialogue and narrative speaking task

تعداد نتایج: 16860580  

Journal: :Computer Speech & Language 2014
Raveesh Meena Gabriel Skantze Joakim Gustafson

Traditional dialogue systems use a fixed silence threshold to detect the end of users’ turns. Such a simplistic model can result in system behaviour that is both interruptive and unresponsive, which in turn affects user experience. Various studies have observed that human interlocutors take cues from speaker behaviour, such as intonation, paralanguage, content, and gestures among others, to coo...

Researchers have extensively compared different L2 learning contexts, such as EFL versus study-abroad, for their impacts on oral production; however, scant attention, if any, has been paid to comparing EFL settings in terms of input factors such as textbooks, amount of contacts in L2, and teachers. Accordingly, the effects of these factors on the oral production skills were investigated in this...

2000
XianFang WANG LiMin DU

In this paper, we propose a domain-transparent design of dialogue management in a mixed initiative Chinese spoken dialogue system engine. This design pushes the domaindependent parts of the dialogue management to the external task configure file, leaving the dialogue manager independent of the domain. The task configure file consists of a set of states each of which is associated with a task ac...

2010
Kristy Elizabeth Boyer Eunyoung Ha Robert Phillips Michael D. Wallis Mladen A. Vouk James C. Lester

Classifying the dialogue act of a user utterance is a key functionality of a dialogue management system. This paper presents a data-driven dialogue act classifier that is learned from a corpus of human textual dialogue. The task-oriented domain involves tutoring in computer programming exercises. While engaging in the task, students generate a task event stream that is separate from and in para...

This study sought to promote EFL learners' speaking ability drawing on Bakhtin’s notion of dialogic discourse pattern (DDP) and to explore their perceptions towards implementing dialogic teaching (DT) in a speaking classroom. To this end, from the population of students in different language institutes, 47 students were selected based on a purposive sampling method. The data were collected at t...

2007
Pierrette Bouillon Glenn Flores Marianne Starlander Nikos Chatzichrisafis Marianne Santaholma Nikos Tsourakis Manny Rayner Beth Ann Hockey

We describe a bidirectional version of the grammar-based MedSLT medical speech system. The system supports simple medical examination dialogues about throat pain between an English-speaking physician and a Spanish-speaking patient. The physician’s side of the dialogue is assumed to consist mostly of WH-questions, and the patient’s of elliptical answers. The paper focusses on the grammar-based s...

2005
Matthias Denecke Norihito Yasuda

The main problem when going from taskoriented dialogue systems to interactive restricted-domain question answering systems is that the lack of task structure prohibits making simplifying assumptions as in task-oriented dialogue systems. In order to address this issue, we propose a solution that combines representations based on keywords extracted from the user utterances with machine learning t...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سمنان - دانشکده ادبیات و علوم انسانی 1389

?it is of utmost priority for an experienced teacher to train the mind of the students, and enable them to think critically and correctly. the most important question here is that how to develop such a crucial ability? this study examines a new way to the development of critical thinking utilizing critical discourse analytical tools. to attain this goal, two classes of senior english la...

Journal: :CoRR 2017
Bing Liu Gökhan Tür Dilek Z. Hakkani-Tür Pararth Shah Larry P. Heck

In this paper, we present a neural network based task-oriented dialogue system that can be optimized end-to-end with deep reinforcement learning (RL). The system is able to track dialogue state, interface with knowledge bases, and incorporate query results into agent’s responses to successfully complete task-oriented dialogues. dialogue policy learning is conducted with a hybrid supervised and ...

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