Language Model-Driven Topic Clustering and Summarization for News Articles.
Peng YangWenhan LiGuangzhen ZhaoPublished in: IEEE Access (2019)
Keyphrases
- news articles
- language model
- language modeling
- n gram
- news stories
- information retrieval
- document retrieval
- probabilistic model
- online news
- translation model
- query expansion
- textual content
- text documents
- clustering algorithm
- cross lingual
- retrieval model
- news items
- multi document summarization
- keyphrases
- pseudo relevance feedback
- k means
- document clustering
- vector space model
- test collection
- data points
- automatic summarization
- dependency structure
- text summarization
- unsupervised learning
- query specific
- smoothing methods