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04/30/2023
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research
Structured interviews are used in many settings, importantly in market r...
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04/05/2023
Ericson: An Interactive Open-Domain Conversational Search Agent
Open-domain conversational search (ODCS) aims to provide valuable, up-to...
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03/31/2023
FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems
Response ranking in dialogues plays a crucial role in retrieval-based co...
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11/09/2022
Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting
Real-time air pollution monitoring is a valuable tool for public health ...
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05/02/2022
Supporting Complex Information-Seeking Tasks with Implicit Constraints
Current interactive systems with natural language interface lack an abil...
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05/21/2021
RLIRank: Learning to Rank with Reinforcement Learning for Dynamic Search
To support complex search tasks, where the initial information requireme...
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05/21/2021
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index
In search and recommendation, diversifying the multi-aspect search resul...
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05/21/2021
De-Biased Modelling of Search Click Behavior with Reinforcement Learning
Users' clicks on Web search results are one of the key signals for evalu...
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04/23/2021
DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search
Mapping a search query to a set of relevant categories in the product ta...
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04/23/2021
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization
Query categorization is an essential part of query intent understanding ...
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04/20/2021
Identifying Helpful Sentences in Product Reviews
In recent years online shopping has gained momentum and became an import...
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08/18/2020
Semantic Product Search for Matching Structured Product Catalogs in E-Commerce
Retrieving all semantically relevant products from the product catalog i...
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06/02/2020
Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation
One of the key benefits of voice-based personal assistants is the potent...
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06/02/2020
Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems
Predicting user satisfaction in conversational systems has become critic...
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06/02/2020
Quantifying the Effects of Prosody Modulation on User Engagement and Satisfaction in Conversational Systems
As voice-based assistants such as Alexa, Siri, and Google Assistant beco...
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05/28/2020
Contextual Dialogue Act Classification for Open-Domain Conversational Agents
Classifying the general intent of the user utterance in a conversation, ...
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05/28/2020
Would you Like to Talk about Sports Now? Towards Contextual Topic Suggestion for Open-Domain Conversational Agents
To hold a true conversation, an intelligent agent should be able to occa...
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05/28/2020
ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents
Identifying the topic (domain) of each user's utterance in open-domain c...
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05/28/2020
JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search
An accurate understanding of a user's query intent can help improve the ...
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04/21/2020
Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media
Mining social media content for tasks such as detecting personal experie...
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08/08/2018
Learning to Focus when Ranking Answers
One of the main challenges in ranking is embedding the query and documen...
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02/26/2018