Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering.
Seunghyun YoonJoongbo ShinKyomin JungPublished in: CoRR (2017)
Keyphrases
- learning to rank
- information retrieval
- ranking functions
- loss function
- latent topics
- document retrieval
- ranking svm
- unsupervised learning
- direct optimization
- k means
- clustering algorithm
- learning to rank algorithms
- topic models
- retrieval systems
- directly optimize
- collaborative filtering
- test collection
- search engine
- topic modeling
- balancing exploration and exploitation
- question answer pairs
- latent dirichlet allocation
- question answering
- information retrieval systems
- web search
- data points
- probabilistic model
- image segmentation
- artificial intelligence