標(biāo)題: Titlebook: Conversational AI for Natural Human-Centric Interaction; 12th International W Svetlana Stoyanchev,Stefan Ultes,Haizhou Li Conference procee [打印本頁] 作者: 磨損 時(shí)間: 2025-3-21 17:02
書目名稱Conversational AI for Natural Human-Centric Interaction影響因子(影響力)
書目名稱Conversational AI for Natural Human-Centric Interaction影響因子(影響力)學(xué)科排名
書目名稱Conversational AI for Natural Human-Centric Interaction網(wǎng)絡(luò)公開度
書目名稱Conversational AI for Natural Human-Centric Interaction網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Conversational AI for Natural Human-Centric Interaction被引頻次
書目名稱Conversational AI for Natural Human-Centric Interaction被引頻次學(xué)科排名
書目名稱Conversational AI for Natural Human-Centric Interaction年度引用
書目名稱Conversational AI for Natural Human-Centric Interaction年度引用學(xué)科排名
書目名稱Conversational AI for Natural Human-Centric Interaction讀者反饋
書目名稱Conversational AI for Natural Human-Centric Interaction讀者反饋學(xué)科排名
作者: aplomb 時(shí)間: 2025-3-21 23:56
Verilog: Frequently Asked Questionsyed vocal assistant with different distributional properties. We show that the predictor can highlight challenging utterances and explain the main complexity factors even though this corpus was collected in a completely different setting.作者: ICLE 時(shí)間: 2025-3-22 00:48
Patrizia Bagnarelli,Massimo Clementiiments with dialogue acts for video games show that with 10-shot prompting, both models learn to control dialogue acts, but Athena-Jurassic has significantly higher coherence and only 4% untrue hallucinations. Our results suggest that Athena-Jurassic produces high enough quality outputs to be useful作者: Common-Migraine 時(shí)間: 2025-3-22 06:01 作者: CERE 時(shí)間: 2025-3-22 10:31 作者: Foreshadow 時(shí)間: 2025-3-22 13:47 作者: Foreshadow 時(shí)間: 2025-3-22 19:22
Conversational AI for Natural Human-Centric Interaction12th International W作者: initiate 時(shí)間: 2025-3-22 21:26
Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modelingarchical model that learns the intent and domain representations in the higher and lower layers respectively. Experiments show that the model outperforms existing methods in terms of accuracy, out-of-scope recall, and .. Additionally, threshold-based post-processing further improves performance by b作者: DAMN 時(shí)間: 2025-3-23 04:58 作者: 雪上輕舟飛過 時(shí)間: 2025-3-23 09:30
Jurassic is (Almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogueiments with dialogue acts for video games show that with 10-shot prompting, both models learn to control dialogue acts, but Athena-Jurassic has significantly higher coherence and only 4% untrue hallucinations. Our results suggest that Athena-Jurassic produces high enough quality outputs to be useful作者: fructose 時(shí)間: 2025-3-23 11:02
Design Guidelines for Developing Systems for Dialogue System Competitionsion. Our proposed design guidelines are to: (1) make the system take initiative, (2) prevent dialogue flows from relying too much on user utterances, and (3) include in utterances that the system understands what the user said. We describe details and examples for the systems designed for each of th作者: 假裝是你 時(shí)間: 2025-3-23 16:16
Understanding How People Rate Their Conversationsnteraction with a conversational agent, we designed and validated a fictional story, grounded in prior work in psychology. We then implemented the story into an experimental conversational agent that allowed users to opt in?to hearing the story. Our results suggest that for human-conversational agen作者: Anterior 時(shí)間: 2025-3-23 19:00
Conference proceedings 2022edge, personality, emotions, and adaptability, as well as automatic mechanisms for objective, robustand fast evaluations, especially in the context of developing social and e-health applications. In this 12th edition of the International Workshop on Spoken Dialogue Systems (IWSDS), “Conversational A作者: FILTH 時(shí)間: 2025-3-23 22:27 作者: evaculate 時(shí)間: 2025-3-24 03:25
Verilog During Simulation Regressions,e flexibility of the phrase distribution modeling brought by the new formulation. The experimental result demonstrates that the proposed method performs better in a situation that the training data with incomplete annotations in comparison to the BiLSTM-CRF and HMM.作者: vitreous-humor 時(shí)間: 2025-3-24 10:22
Verilog: Frequently Asked Questionson the user’s profile obtained from a questionnaire and the word embeddings of BERT. Experiments confirm that the personalized summaries generated by the proposed method transmit information more efficiently than generic summaries generated based solely on the importance of sentences.作者: EVICT 時(shí)間: 2025-3-24 14:32 作者: 一回合 時(shí)間: 2025-3-24 16:28 作者: 危機(jī) 時(shí)間: 2025-3-24 19:13 作者: 不給啤 時(shí)間: 2025-3-25 02:21
Segmentation-Based Formulation of Slot Filling Task for Better Generative Modelinge flexibility of the phrase distribution modeling brought by the new formulation. The experimental result demonstrates that the proposed method performs better in a situation that the training data with incomplete annotations in comparison to the BiLSTM-CRF and HMM.作者: faction 時(shí)間: 2025-3-25 05:18
Personalized Extractive Summarization with?Discourse Structure Constraints Towards Efficient and Cohon the user’s profile obtained from a questionnaire and the word embeddings of BERT. Experiments confirm that the personalized summaries generated by the proposed method transmit information more efficiently than generic summaries generated based solely on the importance of sentences.作者: 毗鄰 時(shí)間: 2025-3-25 08:39 作者: Grasping 時(shí)間: 2025-3-25 12:08 作者: Ophthalmoscope 時(shí)間: 2025-3-25 16:44
A WoZ Study for?an?Incremental Proficiency Scoring Interview Agent Eliciting Ratable Samplesnd collect interview data using a Wizard-of-Oz virtual agent. Next, we build an incremental scoring model and analyze the accuracy. Finally, we discuss the future direction of automated adaptive interview system design.作者: 倔強(qiáng)不能 時(shí)間: 2025-3-25 20:46 作者: 埋伏 時(shí)間: 2025-3-26 00:55 作者: 膠水 時(shí)間: 2025-3-26 06:29
Growth limitations in microcarrier cultures,ncepts of dialogue context are extracted for the GPT-2 decoder. The experiment results demonstrate that the empathetic dialogue generation benefits from both pre-trained encoder-decoder architecture and external knowledge.作者: abolish 時(shí)間: 2025-3-26 09:56 作者: 安心地散步 時(shí)間: 2025-3-26 14:46 作者: AMEND 時(shí)間: 2025-3-26 17:27 作者: 裂隙 時(shí)間: 2025-3-27 00:10
John V. Guttag,James J. Horning generate a response. This study proposes a neural-based response timing estimation model using past utterances to alleviate this problem. The proposed model is expected to consider the intention of the system response implicitly.作者: concentrate 時(shí)間: 2025-3-27 01:35
Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modelingnable smooth processing throughout the human-computer interaction. This paper is concerned with the user’s intent, and focuses on out-of-scope intent classification in dialog systems. Although user intents are highly correlated with the application domain, few studies have exploited such correlation作者: Headstrong 時(shí)間: 2025-3-27 07:10
Segmentation-Based Formulation of Slot Filling Task for Better Generative Modelinginative models such as conditional random fields and recurrent neural networks. One of the weak points of this discriminative approach is robustness against incomplete annotations. For obtaining a more robust method, this paper leverages an overlooked property of slot filling tasks: Non-slot parts o作者: ethereal 時(shí)間: 2025-3-27 10:20 作者: 可忽略 時(shí)間: 2025-3-27 15:59 作者: 導(dǎo)師 時(shí)間: 2025-3-27 20:26 作者: Stress 時(shí)間: 2025-3-27 22:54 作者: 使害羞 時(shí)間: 2025-3-28 05:17 作者: DOTE 時(shí)間: 2025-3-28 09:55
Comparison of Automatic Speech Recognition Systemstion systems using video conferences from a medical domain and found that (1) manual transcriptions significantly outperformed the automatic services, and (2) the automatic transcription of YouTube Captions significantly outperformed the other ASR services.作者: forthy 時(shí)間: 2025-3-28 11:03
Multimodal Dialogue Response Timing Estimation Using Dialogue Context Encoderssion are known to affect response timing. Recent studies have revealed that using the representation of a system response improves the performance of response timing prediction. However, it is difficult to directly use a future response with dialogue systems that require an entire user utterance to作者: 預(yù)定 時(shí)間: 2025-3-28 16:07
Eliciting Cooperative Persuasive Dialogue by Multimodal Emotional Robotmprove their effectiveness to encourage the cooperative dialogue manner of system users. However, most of the existing research on emotional agent systems was based on the Wizard-of-Oz (WOZ) method to verify the abilities of interactive interfaces. In this paper, we build an autonomous dialogue robo作者: 使服水土 時(shí)間: 2025-3-28 20:49
Design Guidelines for Developing Systems for Dialogue System Competitionsd be helpful. Although a neural-based approach can be used, it requires a vast amount of dialogue data, which would take too much effort to collect in the case of a system for a specific, fixed-length dialogue. Furthermore, the system design should explicitly consider errors in automatic speech reco作者: 四海為家的人 時(shí)間: 2025-3-29 00:22 作者: Friction 時(shí)間: 2025-3-29 05:56
A WoZ Study for?an?Incremental Proficiency Scoring Interview Agent Eliciting Ratable Sampleslity. This is realized through the adjustment of oral interview questions to the learner’s perceived proficiency level. An automatic system eliciting ratable samples must incrementally predict the approximate proficiency from a few turns of dialog and employ an adaptable question generation strategy作者: 歡呼 時(shí)間: 2025-3-29 10:39 作者: relieve 時(shí)間: 2025-3-29 13:17
Shivakumar Chonnad,Needamangalam Balachandernable smooth processing throughout the human-computer interaction. This paper is concerned with the user’s intent, and focuses on out-of-scope intent classification in dialog systems. Although user intents are highly correlated with the application domain, few studies have exploited such correlation作者: 心痛 時(shí)間: 2025-3-29 19:17
Verilog During Simulation Regressions,inative models such as conditional random fields and recurrent neural networks. One of the weak points of this discriminative approach is robustness against incomplete annotations. For obtaining a more robust method, this paper leverages an overlooked property of slot filling tasks: Non-slot parts o作者: 逃避系列單詞 時(shí)間: 2025-3-29 22:45 作者: 行為 時(shí)間: 2025-3-30 03:31
Verilog: Frequently Asked Questionsts in order to deliver a certain amount of coherent and interesting information within a limited time, primarily via a spoken dialog form. We initially constructed a news article corpus with annotations of the discourse structure, users’ profiles, and interests in sentences and topics. The proposed 作者: GRIPE 時(shí)間: 2025-3-30 07:16
Growth limitations in microcarrier cultures,osed for empathetic dialogue generation, where the pre-trained auto-encoding RoBERTa is utilized as encoder and the pre-trained auto-regressive GPT-2 as decoder. With the combination of the pre-trained RoBERTa and GPT-2, our model realizes a new state-of-the-art emotion accuracy. To enable the empat作者: Armory 時(shí)間: 2025-3-30 08:42 作者: Pander 時(shí)間: 2025-3-30 14:05 作者: 豐滿有漂亮 時(shí)間: 2025-3-30 20:04
A tutorial on the refinement calculus,tion systems using video conferences from a medical domain and found that (1) manual transcriptions significantly outperformed the automatic services, and (2) the automatic transcription of YouTube Captions significantly outperformed the other ASR services.作者: CHANT 時(shí)間: 2025-3-30 21:48
