855 citations · 2.9k across the 51 of their papers we have counts for
6 papers · 1 filter
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search
Helia Hashemi, Hamed Zamani, W. Bruce Croft
Asking clarifying questions in response to ambiguous or faceted queries has been recognized as a useful technique for various information retrieval systems, especially conversation…
Open-Retrieval Conversational Question Answering
Chen Qu, Liu Yang, Cen Chen +3
Conversational search is one of the ultimate goals of information retrieval. Recent research approaches conversational search by simplified settings of response ranking and convers…
A Transformer-based Embedding Model for Personalized Product Search
Keping Bi, Qingyao Ai, W. Bruce Croft
Product search is an important way for people to browse and purchase items on E-commerce platforms. While customers tend to make choices based on their personal tastes and preferen…
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search
Keping Bi, Qingyao Ai, W. Bruce Croft
Product search has been a crucial entry point to serve people shopping online. Most existing personalized product models follow the paradigm of representing and matching user inten…
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization
Keping Bi, Rahul Jha, W. Bruce Croft +1
Redundancy-aware extractive summarization systems score the redundancy of the sentences to be included in a summary either jointly with their salience information or separately as…
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems
Liu Yang, Minghui Qiu, Chen Qu +5
Personal assistant systems, such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana, are becoming ever more widely used. Understanding user intent such as clarifi…