575 citations · 1.6k across the 40 of their papers we have counts for
4 papers · 1 filter
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…
Automatic Event Salience Identification
Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura +1
Identifying the salience (i.e. importance) of discourse units is an important task in language understanding. While events play important roles in text documents, little research e…
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
Zhenghao Liu, Chenyan Xiong, Maosong Sun +1
This paper presents the Entity-Duet Neural Ranking Model (EDRM), which introduces knowledge graphs to neural search systems. EDRM represents queries and documents by their words an…
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…