133 citations · 182 across the 11 of their papers we have counts for
5 papers · 1 filter
Breaking the Curse of Quality Saturation with User-Centric Ranking
Zhuokai Zhao, Yang Yang, Wenyu Wang +5
A key puzzle in search, ads, and recommendation is that the ranking model can only utilize a small portion of the vastly available user interaction data. As a result, increasing da…
Simple Applications of BERT for Ad Hoc Document Retrieval
Wei Yang, Haotian Zhang, Jimmy Lin
Following recent successes in applying BERT to question answering, we explore simple applications to ad hoc document retrieval. This required confronting the challenge posed by doc…
Evaluating Sentence-Level Relevance Feedback for High-Recall Information Retrieval
Haotian Zhang, Gordon V. Cormack, Maura R. Grossman +1
This study uses a novel simulation framework to evaluate whether the time and effort necessary to achieve high recall using active learning is reduced by presenting the reviewer wi…
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering
Royal Sequiera, Gaurav Baruah, Zhucheng Tu +4
Most work on natural language question answering today focuses on answer selection: given a candidate list of sentences, determine which contains the answer. Although important, an…
Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams
Jinfeng Rao, Hua He, Haotian Zhang +4
Time is an important relevance signal when searching streams of social media posts. The distribution of document timestamps from the results of an initial query can be leveraged to…