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20162026
most citedEnd-to-End Neural Ad-hoc Ranking with Kernel Pooling

575 citations · 1.5k across the 27 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.IR2018

Modeling Temporal Evidence from External Collections

Flávio Martins, João Magalhães, Jamie Callan

Newsworthy events are broadcast through multiple mediums and prompt the crowds to produce comments on social media. In this paper, we propose to leverage on this behavioral dynamic…

cs.IR2018

A Vertical PRF Architecture for Microblog Search

Flávio Martins, João Magalhães, Jamie Callan

In microblog retrieval, query expansion can be essential to obtain good search results due to the short size of queries and posts. Since information in microblogs is highly dynamic…

cs.IR2018

Sifaka: Text Mining Above a Search API

Cameron VandenBerg, Jamie Callan

Text mining and analytics software has become popular, but little attention has been paid to the software architectures of such systems. Often they are built from scratch using spe…

cs.IR2018

Consistency and Variation in Kernel Neural Ranking Model

Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi +4

This paper studies the consistency of the kernel-based neural ranking model K-NRM, a recent state-of-the-art neural IR model, which is important for reproducible research and deplo…

cs.IR2018

Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling

Chenyan Xiong, Zhengzhong Liu, Jamie Callan +1

This paper presents a Kernel Entity Salience Model (KESM) that improves text understanding and retrieval by better estimating entity salience (importance) in documents. KESM repres…

cs.IR2018

A Structure-Oriented Unsupervised Crawling Strategy for Social Media Sites

Keyang Xu, Kyle Yingkai Gao, Jamie Callan

Existing techniques for efficiently crawling social media sites rely on URL patterns, query logs, and human supervision. This paper describes SOUrCe, a structure-oriented unsupervi…