Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
The correlation between cluster hypothesis tests and the effectiveness of cluster-based retrieval
Condensed List Relevance Models
Attentive Aspect Modeling for Review-aware Recommendation