Improving Document Ranking with Dual Word Embeddings
Tree Memory Networks for modelling long-term temporal dependencies
Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval
If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking
Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance
Machine Learned Sentence Selection Strategies for Query-Biased Summarization