---
title: "Delhi — works of 2021: 6 papers, the most cited first"
description: "6 works of Delhi from 2021 in our library, the most cited first. Among them: MOMENTA: A Multimodal Framework for Detecting Harmful…"
canonical: "https://research.elamur.ai/free/en/agglomerations/delhi/year/2021/"
---
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# Works of Delhi from 2021

6 works · the most cited first · [← Delhi](https://md.research.elamur.ai/free/en/agglomerations/delhi/)

1. **[MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-momenta-multimodal-framework-detecting-harmful/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.*2021 · 212 citations*
2. **[Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-detecting-harmful-memes-their-targets/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.*2021 · 171 citations*
3. **[Explanations for CommonsenseQA: New Dataset and Models](https://md.research.elamur.ai/free/en/papers/aggarwal-2021-explanations-commonsenseqa-new-dataset-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.*2021 · 163 citations*
4. **[Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations](https://md.research.elamur.ai/free/en/papers/malhotra-2021-speaker-time-aware-joint-contextual/) [ACM International Conference on Web Search and Data Mining (WSDM)](https://md.research.elamur.ai/free/en/venues/acm-international-conference-on-web-search-and-data-mining-wsdm/)**Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, et al.*2021 · 64 citations*
5. **[Effects of Duration, Locality, and Surprisal in Speech Disfluency Prediction in English Spontaneous Speech](https://md.research.elamur.ai/free/en/papers/dammalapati-2021-effects-duration-locality-surprisal-speech/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Samvit Dammalapati, Rajakrishnan Rajkumar, Sidharth Ranjan, et al.*2021 · 14 citations*
6. **[Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?](https://md.research.elamur.ai/free/en/papers/bansal-2021-can-rnns-trained-harder-subject/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal*2021 · 1 citation*
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