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Listening-oriented response generation by exploiting user responses.

, , and . Pattern Recognit. Lett., (2020)

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Vowel-reduction feedback system for non-native learners of English., , , and . ICASSP, page 935-939. IEEE, (2014)Listening-oriented response generation by exploiting user responses., , and . Pattern Recognit. Lett., (2020)Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources., , , , , and . EMNLP, page 8806-8828. Association for Computational Linguistics, (2023)ASR Independent Hybrid Recurrent Neural Network Based Error Correction for Dialog System Applications., , , , , , , and . MA3HMI@INTERSPEECH, volume 8757 of Lecture Notes in Computer Science, page 69-77. Springer, (2014)Open-domain personalized dialog system using user-interested topics in system responses., , , and . ASRU, page 771-776. IEEE, (2015)Kosmic: Korean Text Similarity Metric Reflecting Honorific Distinctions., , , , , and . LREC/COLING, page 9954-9960. ELRA and ICCL, (2024)Example-based chat-oriented dialogue system with personalized long-term memory., , , and . BigComp, page 238-243. IEEE Computer Society, (2015)MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs., , , , , and . CoRR, (2024)Acquisition and Use of Long-Term Memory for Personalized Dialog Systems., , , , , and . MA3HMI@INTERSPEECH, volume 8757 of Lecture Notes in Computer Science, page 78-87. Springer, (2014)Exploiting knowledge base to generate responses for natural language dialog listening agents., , , and . SIGDIAL Conference, page 129-133. The Association for Computer Linguistics, (2015)