Papers by Alok Debnath
SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text (D19-55)
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| Challenge: | Contemporary datasets on tobacco consumption focus on one of two topics, public health mentions and disease surveillance, or sentiment analysis on topical tobacco products and services. |
| Approach: | They propose to use a dataset of 3144 tweets to analyze slang related to smoking and then use it to create a binary and multi-class classification mechanism. |
| Outcome: | The proposed method is able to identify a topic, a general mention or a more fine-grained classification based on the semantics of the tweets. |
A Computational Analysis of Vagueness in Revisions of Instructional Texts (2021.eacl-srw)
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| Challenge: | We analyze edits that involve cases of vagueness in instructional texts . we extract and analyze version pairs of an instruction before and after a revision . |
| Approach: | They propose to extract and analyze edits that involve cases of vagueness in instructions . they adopt a pairwise ranking task to show improvements over existing baselines . |
| Outcome: | The proposed model can distinguish between two versions of an instruction in a noisy dataset. |
A Pregroup Representation of Word Order Alternation Using Hindi Syntax (N19-3)
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| Challenge: | Existing methods for expressing restricted word order alternation have not been used for word order representations. |
| Approach: | They propose three methods to represent restricted word order alternation in the pregroup representation of any language. |
| Outcome: | The proposed methods are able to represent word alternation in English using the example of Hindi syntax. |