Abstract is missing.
- A Randomized Link Transformer for Diverse Open-Domain Dialogue GenerationJing Yang Lee, Kong-Aik Lee, Woon-Seng Gan. 1-11 [doi]
- Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent DetectionJianguo Zhang 0005, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu 0006, Caiming Xiong, Philip S. Yu. 12-20 [doi]
- Conversational AI for Positive-sum Retailing under Falsehood ControlYin-Hsiang Liao, Ruo-Ping Dong, Huan-Cheng Chang, Wilson Ma. 21-33 [doi]
- D-REX: Dialogue Relation Extraction with ExplanationsAlon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang. 34-46 [doi]
- Data Augmentation for Intent Classification with Off-the-shelf Large Language ModelsGaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez 0001, Dzmitry Bahdanau. 47-57 [doi]
- Extracting and Inferring Personal Attributes from DialogueZhulin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia. 58-69 [doi]
- From Rewriting to Remembering: Common Ground for Conversational QA ModelsMarco Del Tredici, Xiaoyu Shen, Gianni Barlacchi, Bill Byrne, Adrià de Gispert. 70-76 [doi]
- Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agentsEric Michael Smith, Orion Hsu, Rebecca Qian, Stephen Roller, Y-Lan Boureau, Jason Weston. 77-97 [doi]
- KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic EmbeddingsRajdeep Sarkar, Mihael Arcan, John P. McCrae. 98-107 [doi]
- Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across DomainsAnna Sauer, Shima Asaadi, Fabian Küch. 108-119 [doi]
- MTL-SLT: Multi-Task Learning for Spoken Language TasksZhiqi Huang, Milind Rao, Anirudh Raju, Zhe Zhang, Bach Bui, Chul Lee. 120-130 [doi]
- Multimodal Conversational AI: A Survey of Datasets and ApproachesAnirudh Sundar, Larry Heck. 131-147 [doi]
- Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do NextKatharina Kann, Abteen Ebrahimi, Joewie J. Koh, Shiran Dudy, Alessandro Roncone. 148-165 [doi]
- Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple MetricIan Berlot-Attwell, Frank Rudzicz. 166-183 [doi]
- RetroNLU: Retrieval Augmented Task-Oriented Semantic ParsingVivek Gupta 0001, Akshat Shrivastava, Adithya Sagar, Armen Aghajanyan, Denis Savenkov. 184-196 [doi]
- Stylistic Response Generation by Controlling Personality Traits and IntentSougata Saha, Souvik Das, Rohini K. Srihari. 197-211 [doi]
- Toward Knowledge-Enriched Conversational Recommendation SystemsTong Zhang, Yong Liu 0020, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao. 212-217 [doi]
- Understanding and Improving the Exemplar-based Generation for Open-domain ConversationSeungju Han, Beomsu Kim, Seokjun Seo, Enkhbayar Erdenee, Buru Chang. 218-230 [doi]