Smriti Singh


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“Hold on honey, men at work”: A semi-supervised approach to detecting sexism in sitcoms
Smriti Singh | Tanvi Anand | Arijit Ghosh Chowdhury | Zeerak Waseem
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop

Television shows play an important role inpropagating societal norms. Owing to the popularity of the situational comedy (sitcom) genre, it contributes significantly to the over-all development of society. In an effort to analyze the content of television shows belong-ing to this genre, we present a dataset of dialogue turns from popular sitcoms annotated for the presence of sexist remarks. We train a text classification model to detect sexism using domain adaptive learning. We apply the model to our dataset to analyze the evolution of sexist content over the years. We propose a domain-specific semi-supervised architecture for the aforementioned detection of sexism.Through extensive experiments, we show that our model often yields better classification performance over generic deep learn-ing based sentence classification that does not employ domain-specific training. We find that while sexism decreases over time on average,the proportion of sexist dialogue for the most sexist sitcom actually increases. A quantitative analysis along with a detailed error analysis presents the case for our proposed methodology


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HinMA: Distributed Morphology based Hindi Morphological Analyzer
Ankit Bahuguna | Lavita Talukdar | Pushpak Bhattacharyya | Smriti Singh
Proceedings of the 11th International Conference on Natural Language Processing


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Noun Group and Verb Group Identification for Hindi
Smriti Singh | Om P. Damani | Vaijayanthi M. Sarma
Proceedings of COLING 2012


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Verbal Inflection in Hindi: A Distributed Morphology Approach
Smriti Singh | Vaijayanthi M. Sarma
Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation


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Hindi generation from interlingua
Smriti Singh | Mrugank Dalal | Vishal Vachhani | Pushpak Bhattacharyya | Om P. Damani
Proceedings of Machine Translation Summit XI: Papers


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Morphological Richness Offsets Resource Demand – Experiences in Constructing a POS Tagger for Hindi
Smriti Singh | Kuhoo Gupta | Manish Shrivastava | Pushpak Bhattacharyya
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions