Search Results - "Subba, Rajen"

Overview of the Ninth Dialog System Technology Challenge: DSTC9 by Gunasekara, Chulaka, Kim, Seokhwan, D'Haro, Luis Fernando, Rastogi, Abhinav, Chen, Yun-Nung, Eric, Mihail, Hedayatnia, Behnam, Gopalakrishnan, Karthik, Liu, Yang, Huang, Chao-Wei, Hakkani-Tur, Dilek, Li, Jinchao, Zhu, Qi, Luo, Lingxiao, Liden, Lars, Huang, Kaili, Shayandeh, Shahin, Liang, Runze, Peng, Baolin, Zhang, Zheng, Shukla, Swadheen, Huang, Minlie, Gao, Jianfeng, Mehri, Shikib, Feng, Yulan, Gordon, Carla, Alavi, Seyed Hossein, Traum, David, Eskenazi, Maxine, Beirami, Ahmad, Cho, Eunjoon, Crook, Paul A., De, Ankita, Geramifard, Alborz, Kottur, Satwik, Moon, Seungwhan, Poddar, Shivani, Subba, Rajen

“…This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for…”
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Discourse parsing: A relational learning approach by Subba, Rajen

“…Previous work in discourse parsing have overlooked the role of relational data and have relied mostly on syntactic and lexical information. This thesis…”
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Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue by Balakrishnan, Anusha, Rao, Jinfeng, Upasani, Kartikeya, White, Michael, Subba, Rajen

“…Generating fluent natural language responses from structured semantic representations is a critical step in task-oriented conversational systems. Avenues like…”
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Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems by Challa, Ashwini, Upasani, Kartikeya, Balakrishnan, Anusha, Subba, Rajen

“…Neural approaches to Natural Language Generation (NLG) have been promising for goal-oriented dialogue. One of the challenges of productionizing these…”
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Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming by Zhou, Zhenpeng, Beirami, Ahmad, Crook, Paul, Shah, Pararth, Subba, Rajen, Geramifard, Alborz

“…Motivated by the needs of resource constrained dialog policy learning, we introduce dialog policy via differentiable inductive logic (DILOG). We explore the…”
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Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking by Lin, Zhaojiang, Liu, Bing, Moon, Seungwhan, Crook, Paul, Zhou, Zhenpeng, Wang, Zhiguang, Yu, Zhou, Madotto, Andrea, Cho, Eunjoon, Subba, Rajen

“…Zero-shot cross-domain dialogue state tracking (DST) enables us to handle task-oriented dialogue in unseen domains without the expense of collecting in-domain…”
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Zero-Shot Dialogue State Tracking via Cross-Task Transfer by Lin, Zhaojiang, Liu, Bing, Madotto, Andrea, Moon, Seungwhan, Crook, Paul, Zhou, Zhenpeng, Wang, Zhiguang, Yu, Zhou, Cho, Eunjoon, Subba, Rajen, Fung, Pascale

“…Zero-shot transfer learning for dialogue state tracking (DST) enables us to handle a variety of task-oriented dialogue domains without the expense of…”
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Detecting Life Events in Feeds from Twitter by Di Eugenio, Barbara, Green, Nick, Subba, Rajen

“…Short posts on micro-blogs are characterized by high ambiguity and non-standard language. We focus on detecting life events from such micro-blogs, a type of…”
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SIMMC: Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform by Crook, Paul A, Poddar, Shivani, De, Ankita, Shafi, Semir, Whitney, David, Geramifard, Alborz, Subba, Rajen

“…As digital virtual assistants become ubiquitous, it becomes increasingly important to understand the situated behaviour of users as they interact with these…”
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Situated and Interactive Multimodal Conversations by Moon, Seungwhan, Kottur, Satwik, Crook, Paul A, De, Ankita, Poddar, Shivani, Levin, Theodore, Whitney, David, Difranco, Daniel, Beirami, Ahmad, Cho, Eunjoon, Subba, Rajen, Geramifard, Alborz

“…Next generation virtual assistants are envisioned to handle multimodal inputs (e.g., vision, memories of previous interactions, in addition to the user's…”
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Overview of the Ninth Dialog System Technology Challenge: DSTC9 by Gunasekara, Chulaka, Kim, Seokhwan, D'Haro, Luis Fernando, Rastogi, Abhinav, Chen, Yun-Nung, Eric, Mihail, Hedayatnia, Behnam, Gopalakrishnan, Karthik, Liu, Yang, Huang, Chao-Wei, Hakkani-Tür, Dilek, Li, Jinchao, Zhu, Qi, Luo, Lingxiao, Liden, Lars, Huang, Kaili, Shayandeh, Shahin, Liang, Runze, Peng, Baolin, Zhang, Zheng, Shukla, Swadheen, Huang, Minlie, Gao, Jianfeng, Mehri, Shikib, Feng, Yulan, Gordon, Carla, Alavi, Seyed Hossein, Traum, David, Eskenazi, Maxine, Beirami, Ahmad, Eunjoon, Cho, Crook, Paul A, De, Ankita, Geramifard, Alborz, Kottur, Satwik, Moon, Seungwhan, Poddar, Shivani, Subba, Rajen

“…This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for…”
Get full text