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PACRR: A Position-Aware Neural IR Model for Relevance Matching
Kai Hui
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Andrew Yates
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Klaus Berberich
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Gerard de Melo
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Deep Relevance Ranking Using Enhanced Document-Query Interactions
Ryan McDonald
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George Brokos
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Ion Androutsopoulos
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NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
Canjia Li
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Yingfei Sun
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Ben He
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Le Wang
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Kai Hui
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Andrew Yates
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Le Sun
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Jungang Xu
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Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Yi Tay
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Anh Tuan Luu
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Siu Cheung Hui
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Cross-Lingual Learning-to-Rank with Shared Representations
Shota Sasaki
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Shuo Sun
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Shigehiko Schamoni
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Kevin Duh
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Kentaro Inui
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A Deeper Look into Dependency-Based Word Embeddings
Sean MacAvaney
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Amir Zeldes
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Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
Zhenghao Liu
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Chenyan Xiong
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Maosong Sun
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Zhiyuan Liu
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AUEB at BioASQ 6: Document and Snippet Retrieval
George Brokos
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Polyvios Liosis
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Ryan McDonald
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Dimitris Pappas
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Ion Androutsopoulos
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https://code.google.com/archive/p/
http://trec.nist.gov/tracks.html
https://github.com/trec-web/
http://trec.nist.gov/data/web/12/gdeval.pl
Field Of Study
Task
Semantic Similarity
Information Retrieval
Approach
Deep Learning
Language
English
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