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Found 4 papers, 1 papers with code
Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval
With the development of deep learning and natural language processing techniques, pre-trained language models have been widely used to solve information retrieval (IR) problems.
On Semi-Supervised Multiple Representation Behavior Learning
SSMRBL is an incremental learning process that can learn more than one representation, which is an appropriate solution for dealing with the scarce of labeled training data in the age of big data and with the heavy workload of learning compound structured labels.
Knowledge-guided Unsupervised Rhetorical Parsing for Text Summarization
Automatic text summarization (ATS) has recently achieved impressive performance thanks to recent advances in deep learning and the availability of large-scale corpora.
Attributed Rhetorical Structure Grammar for Domain Text Summarization
We have also shown that the knowledge based approach may be made more powerful by introducing grammar parsing and RST as inference engine.
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