The 4th International Workshop on Search-Oriented Conversational AI (SCAI)
at IJCAI-19, Macao 🇲🇴, China, August 12
IJCAI early registration is June 20, 2019 (UTC-12)
Click here to go to the SCAI main page.
More and more information is found and consumed in a conversational form rather than using traditional search engines. Chatbots, personal assistants in our phones and eyes-free devices are being used increasingly more for different purposes, including information retrieval and exploration. On the other side, information retrieval empowers dialogue systems to answer questions and to get context for assisting the user in her tasks. With the recent success of deep learning in different areas of natural language processing, this appears to be the right foundation to power search conversationalization. Yet, we believe more can be done for theory and practice of conversation-based search and search-based dialogues.
The aim of this edition of the SCAI workshop is to bring together researchers from the Natural Language Processing (NLP), Artificial Intelligence (AI), and Information Retrieval (IR) communities to investigate future directions of research in the area of search-oriented conversational systems. The focus of this installment seeks to broaden participation between research and industry. The previous instances identified a number of research areas related which warrant additional deeper exploration. To provide a broad forum we solicit a variety of research and position paper submissions.
The 1st edition of the workshop was co-located with International Conference on the Theory of Information Retrieval (ICTIR 2017).
The 2nd edition of the workshop was co-located with the Conference on Emperical Methods in Natural Language Processing (EMNLP 2018).
The 3rd edition (special half-day edition) of the workshop was co-located with The Web Conference 2019 (TheWebConf 2019).
- Title: Towards scalable multi-domain conversational agents
- Abstract: TBD
- Title: Towards Building More Intelligent Dialogue Systems: Semantics, Consistency, and Interactiveness
- Abstract: Building open-domain, open-topic dialogue systems (known as chatbot) is one of the most challenging AI tasks due to the difficulties of natural language understanding and the requirements of world knowledge and even semantic reasoning. The speaker will address three fundamental issues existing in current dialogue systems: semantics, consistency, and interactiveness. As preliminary research attempts to address these problems, the speaker will present some recent studies towards building more intelligent dialogue systems: 1) how a dialogue system can behave more interactively via emotion detection and expression, proactive question generation, and sentence function control; 2) how a dialogue system can behave more consistently via explicit personalization given a specific profile; and 3) how a dialogue system can behave more intelligently (semantics) via using commonsense knowledge for language understanding and generation. These attempts will move forward to more intelligent, human-like chatting machines
Session 1 (08:30–10:00)
Session 2 (10:30–12:30)
- Rajhans Samdani, Ankit Goyal, Pierre Rappolt and Pratyus Patnaik: Practical User Feedback-driven Internal Search Using Online Learning to Rank
- Vishwajeet Kumar, Ganesh Ramakrishnan and Yuan-Fang Li: A Framework for Automatic Question Generation from Text using Deep Reinforcement Learning
Session 3 (14:00–15:30)
- Jiahuan Pei, Arent Stienstra, Julia Kiseleva, and Maarten de Rijke: SEntNet: Source-aware Recurrent Entity Networks for Dialogue Response Selection
- Yangjun Zhang, Pengjie Ren and Maarten de Rijke: Improving Background Based Conversation with Context-aware Knowledge Pre-selection
Session 4 (16:00–17:30)