Papers by Anil Kumar Singh

2 papers
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs (C18-1)

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Challenge: Social media based micro-blogging sites like Twitter are used for expressing emotions and opinions.
Approach: They propose to combine convolutional and fully connected layers in a non-sequential manner to train deep multi-task learning models trained for all emotions at once in unified architecture.
Outcome: The proposed model outperforms the previous system by 0.044 or 4.4% on the WASSA’17 EmoInt shared task dataset.
Generating Inflectional Errors for Grammatical Error Correction in Hindi (2020.aacl-srw)

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Challenge: Automated grammatical error correction is a data-heavy task . indic languages have a relatively low amount of digitized content and complex morphology .
Approach: They generate a corpus of inflectional errors for training neural networks to correct grammatical errors in Hindi.
Outcome: The proposed model trains on a corpus of inflectional errors extracted from Wikipedia edits.

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