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Found 4 papers, 3 papers with code
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach
In this paper, we address unsupervised chunking as a new task of syntactic structure induction, which is helpful for understanding the linguistic structures of human languages as well as processing low-resource languages.
Unsupervised Chunking with Hierarchical RNN
Our approach involves a two-stage training process: pretraining with an unsupervised parser and finetuning on downstream NLP tasks.
IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles
This work describes our two approaches for the background linking task of TREC 2020 News Track.
Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach
There are certain emotions which are given more importance due to their effectiveness in understanding human feelings.
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