標題: Titlebook: 9th International Workshop on Spoken Dialogue System Technology; Luis Fernando D‘Haro,Rafael E. Banchs,Haizhou Li Conference proceedings 2 [打印本頁] 作者: 小天使 時間: 2025-3-21 19:10
書目名稱9th International Workshop on Spoken Dialogue System Technology影響因子(影響力)
書目名稱9th International Workshop on Spoken Dialogue System Technology影響因子(影響力)學科排名
書目名稱9th International Workshop on Spoken Dialogue System Technology網(wǎng)絡(luò)公開度
書目名稱9th International Workshop on Spoken Dialogue System Technology網(wǎng)絡(luò)公開度學科排名
書目名稱9th International Workshop on Spoken Dialogue System Technology被引頻次
書目名稱9th International Workshop on Spoken Dialogue System Technology被引頻次學科排名
書目名稱9th International Workshop on Spoken Dialogue System Technology年度引用
書目名稱9th International Workshop on Spoken Dialogue System Technology年度引用學科排名
書目名稱9th International Workshop on Spoken Dialogue System Technology讀者反饋
書目名稱9th International Workshop on Spoken Dialogue System Technology讀者反饋學科排名
作者: 量被毀壞 時間: 2025-3-21 22:38 作者: Distribution 時間: 2025-3-22 00:47
Advances in Computational Intelligence action.In this paper, we focus on the dialogue act classification in reference interviews to model the behaviors of librarians in the information seeking dialogues.Reference interviews sometimes include rare words and phrases.?Therefore, the existing approaches that use words as units of input ofte作者: blithe 時間: 2025-3-22 08:00 作者: expdient 時間: 2025-3-22 12:02 作者: Nmda-Receptor 時間: 2025-3-22 15:28 作者: 越自我 時間: 2025-3-22 18:14
https://doi.org/10.1007/978-3-662-05609-7ke a human.? A conversational android ERICA is designed to conduct several social roles focused on spoken dialogue, such as attentive listening (similar to counseling) and job interview. Design principles in developing these spoken dialogue systems are described, in particular focused on the attenti作者: vanquish 時間: 2025-3-22 23:09
Fuzzy Modeling to Cope with Ambiguitiess have difficulty in handling new dialog states unseen in model training. This paper proposes a fully data-driven approach to DST that can deal with unseen dialog states.?The approach is based on an RNN with an attention mechanism. The model integrates two variants of RNNs: a decoder that detects an作者: 組成 時間: 2025-3-23 04:51
https://doi.org/10.1007/978-3-319-97982-3rs.? Speech collisions often occur when a user and the dialog system speak simultaneously.? This study presents a method to generate fillers at the beginning of the system utterances to indicate an intention of turn-taking or turn-holding just like human conversations.? To this end, we analyzed the 作者: 發(fā)起 時間: 2025-3-23 05:36 作者: Hangar 時間: 2025-3-23 10:05 作者: 同步左右 時間: 2025-3-23 15:32
Jordan J. Bird,Anikó Ekárt,Diego R. Fariams to adapt the user state.?We address engagement recognition based on listener’s multimodal behaviors such as backchannels, laughing, head nodding, and eye gaze.?When the ground-truth labels are given by multiple annotators, they differ according to each annotator due to the different perspectives 作者: 細查 時間: 2025-3-23 20:48
Zhaojie Ju,Longzhi Yang,Dalin Zhougument structure of an online debate and show how it can be utilized to generate artificial persuasive dialogues in an agent-agent scenario.?The interaction between the agents is formalized as argument game and the resulting artificial dialogues are evaluated in a user study by comparing them to hum作者: inflame 時間: 2025-3-24 00:39
Davis Bonsu Agyemang,Mohamed Baderons of effectiveness, efficiency and satisfaction were correlated with various performance metrics derived from system logfiles and reference annotations. Usability experts rated questions from a preliminary 110-items questionnaire, and an assessment of their agreement on usability concepts has led 作者: BROW 時間: 2025-3-24 04:32 作者: 愛哭 時間: 2025-3-24 07:25 作者: 得意人 時間: 2025-3-24 12:51 作者: 徹底明白 時間: 2025-3-24 15:02 作者: COMA 時間: 2025-3-24 21:33 作者: labyrinth 時間: 2025-3-24 23:34 作者: infatuation 時間: 2025-3-25 07:05 作者: 掙扎 時間: 2025-3-25 10:16 作者: 暴行 時間: 2025-3-25 14:33
Advances in Computational Intelligencers and social behavior from audio recordings in classrooms. Specifically, we aim to infer the climate in the classroom from non-verbal speech cues. We extract non-verbal speech cues and low-level audio features from speech segments and train classifiers based on those cues. We were able to distingui作者: 高度 時間: 2025-3-25 17:47 作者: WAG 時間: 2025-3-25 20:24 作者: echnic 時間: 2025-3-26 00:42 作者: 同來核對 時間: 2025-3-26 08:15
Shadi Al Amoudi,Xia Hong,Hong Weitients with schizophrenia tend to talk about different topics and use different words. We provided an in-depth discussion of the most salient lexical features, which may provide some insights into the linguistic alterations in patients.作者: 責問 時間: 2025-3-26 08:49 作者: neolith 時間: 2025-3-26 16:19
Attention Based Joint Model with Negative Sampling for New Slot Values Recognitiont einleuchten wollen. Umgekehrt werden wir auch Be- hauptungen kennenlernen, die ebenso einleuchtend wie falsch sind. Die Kunst der ?konomie besteht letztlich vor allem darin, das eine von dem an- deren zu unterscheiden. Gibt es überhaupt so etwas wie ?konomische Gesetze? über diese Frage ist schon 作者: 有權(quán)威 時間: 2025-3-26 19:55
Dialogue Act Classification in Reference Interview Using Convolutional Neural Network with Byte Pair Erfolge, der Gewinn steigt. Die Aktienkurse ziehen wieder an, die Aktion?re und der Vorstand sind erleichtert. Doch bereits einige Monate sp?ter stellt sich heraus, dass nun die zuvor gewinntr?chtigsten Bereiche einbrechen. Die Margen werden dünner, die Produkte sind nicht mehr die innovativsten de作者: Working-Memory 時間: 2025-3-26 23:00
“I Think It Might Help If We Multiply, and Not Add”: Detecting Indirectness in Conversationund gesch?ftsführende Gesellschafterin einer international t?tigen Beratungsfirma. Ihr Schwerpunkt liegt in der Personal- und Unternehmenskultur-Entwicklung sowie in der Begleitung von Ver?nderungsprozessen. Richard Linxweiler ist Professor für Marketing an der Fachhochschule Pforzheim und als Markendesigner 978-3-322-96337-6978-3-322-96336-9作者: MUT 時間: 2025-3-27 02:14 作者: multiply 時間: 2025-3-27 08:38
Automatic Turn-Level Language Identification for Code-Switched Spanish–English Dialoglchen zu einem Zweifach-Teilchen und schreitet über die Bildung von Mehrfach-Teilchen, gegebenenfalls bis zur v?lligen Entmischung des Systems, fort. Voraussetzungen zum Zustandekommen einer derartigen Teilchenaggregation sind die Brownsche Molekularbewegung, die zur Kollision der Einzelteilchen füh作者: REP 時間: 2025-3-27 12:15 作者: conifer 時間: 2025-3-27 14:36 作者: inclusive 時間: 2025-3-27 20:11 作者: 最有利 時間: 2025-3-28 01:32 作者: precede 時間: 2025-3-28 03:42 作者: 逗留 時間: 2025-3-28 08:27 作者: Control-Group 時間: 2025-3-28 11:31 作者: upstart 時間: 2025-3-28 15:43 作者: 破裂 時間: 2025-3-28 19:34
Latent Character Model for Engagement Recognition Based on Multimodal Behaviors978-3-642-93606-7作者: 怪物 時間: 2025-3-29 00:34
Multimodal Dialogue System Evaluation: A Case Study Applying Usability Standards978-3-663-08418-1作者: Diaphragm 時間: 2025-3-29 07:06
Toward Low-Cost Automated Evaluation Metrics for Internet of Things Dialogues978-3-642-91933-6作者: 割公牛膨脹 時間: 2025-3-29 09:23 作者: inclusive 時間: 2025-3-29 12:04 作者: echnic 時間: 2025-3-29 17:06 作者: chastise 時間: 2025-3-29 21:45 作者: Defense 時間: 2025-3-30 02:05
Advances in Computational Intelligenceleverage the popular i-Vector approach in extracting features from the speech signal and show that this outperforms a traditional spectral feature-based front-end as well as the majority vote baseline.作者: 先驅(qū) 時間: 2025-3-30 04:10 作者: arsenal 時間: 2025-3-30 10:10
Conference proceedings 2019 agent technologies”. It compiles and provides a synopsis of current global research to push forward the state of the art in dialogue technologies, including advances in the context of the classical problems of language understanding, dialogue management and language generation, as well as cognitive作者: FATAL 時間: 2025-3-30 13:30
Lecture Notes in Computer Scienceampling is used for constructing negative samples of existing values to train the model.?Experimental results on two datasets show that our model outperforms the previous methods. The negative samples contribute to new slot values identification, and the attention mechanism discovers important information and boosts the performance.作者: Infinitesimal 時間: 2025-3-30 20:37
1876-1100 of the 9th International Workshop on Spoken Dialogue Systems (IWSDS), “Towards creating more human-like conversational agent technologies”. It compiles and provides a synopsis of current global research to push forward the state of the art in dialogue technologies, including advances in the context作者: 毀壞 時間: 2025-3-30 20:44
https://doi.org/10.1007/978-3-662-05609-7ar to counseling) and job interview. Design principles in developing these spoken dialogue systems are described, in particular focused on the attentive listening system. Generation of backchannels, fillers and laughter is also addressed to make human-like conversation behaviors.作者: ingenue 時間: 2025-3-31 01:29
Zhaojie Ju,Longzhi Yang,Dalin Zhouaction between the agents is formalized as argument game and the resulting artificial dialogues are evaluated in a user study by comparing them to human generated ones.?The outcomes indicate that the artificial dialogues are logically consistent and thus show that the use of the employed argument annotation scheme was successful.作者: 大方不好 時間: 2025-3-31 05:56
