A Deep Relevance Matching Model for Ad-hoc Retrieval
Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR)
QA-Driven Relation Extraction
Joint Learning from Labeled and Unlabeled Data for Information Retrieval