Structured Prediction in NLP -- A survey

Over the last several years, the field of Structured prediction in NLP has had seen huge advancements with sophisticated probabilistic graphical models, energy-based networks, and its combination with deep learning-based approaches. This survey provides a brief of major techniques in structured pred...

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Bibliographic Details
Published in:arXiv.org 2021-08
Main Authors: Chauhan Dev, Biyani, Naman, Suthar, Nirmal P, Kumar, Prashant, Agarwal, Priyanshu
Format: Article
Language:English
Online Access:Get full text
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Summary:Over the last several years, the field of Structured prediction in NLP has had seen huge advancements with sophisticated probabilistic graphical models, energy-based networks, and its combination with deep learning-based approaches. This survey provides a brief of major techniques in structured prediction and its applications in the NLP domains like parsing, sequence labeling, text generation, and sequence to sequence tasks. We also deep-dived into energy-based and attention-based techniques in structured prediction, identified some relevant open issues and gaps in the current state-of-the-art research, and have come up with some detailed ideas for future research in these fields.
ISSN:2331-8422