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One of the most popular downstream tasks in the field of Natural Language Processing is text classification.
Transliteration in documentation
Weinberg, B · 1974
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Code mixing: A challenge for language identification in the language of social media
Barman, U., Das, A., Wagner, J., and Foster, J · 2014
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Character-level Convolutional Networks for Text Classification
Zhang, X., Zhao, J., and LeCun, Y · 2015
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Grammatical constraints on intra-sentential code-switching: From theories to working models
Bhat, G., Choudhury, M., and Bali, K · 2016
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Unraveling the english-bengali code-mixing phenomenon
Chanda, A., Das, D., and Mazumdar, C · 2016
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Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K · 2018
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An android-based useful text extraction framework using image and natural language processing
Kushol, R., Ahsan, I., and Raihan, M. N · 2018
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Word embeddings for code-mixed language processing
Pratapa, A., Choudhury, M., and Sitaram, S · 2018
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Code-mixing: A brief survey
Thara, S., and Poornachandran, P · 2018
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A complete bangla optical character recognition system: An effective approach
Ahmed, T., Raihan, M. N., Kushol, R., and Salekin, M. S · 2019
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Cross-lingual language model pretraining
Conneau, A., and Lample, G · 2019
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Roberta: A robustly optimized bert pretraining approach
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V · 2019
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Ni, J., Li, J., and McAuley, J · 2019
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Improved sentiment detection via label transfer from monolingual to synthetic code-switched text
Samanta, B., Ganguly, N., and Chakrabarti, S · 2019
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Semeval-2019 task 6: Identifying and categorizing offensive language in social media (offenseval)
Zampieri, M., Malmasi, S., Nakov, P., Rosenthal, S., Farra, N., and Kumar, R · 2019
Cited alongside, same era.
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages
Kakwani, D., Kunchukuttan, A., Golla, S., N.C., G., Bhattacharyya, A., Khapra, M. M., and Kumar, P · 2020
Cited alongside, same era.
Solid: A large-scale semi-supervised dataset for offensive language identification
Bertologicomix: How does code-mixing interact with multilingual bert?
Santy, S., Srinivasan, A., and Choudhury, M · 2021
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fBERT: A neural transformer for identifying offensive content
Sarkar, D., Zampieri, M., Ranasinghe, T., and Ororbia, A · 2021
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Perplexity in nlp: Definition, pros, and cons, 2021
TechSlang · 2021
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Joshi, R · 2022
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L3cube-hingcorpus and hingbert: A code mixed hindi-english dataset and bert language models
Nayak, R., and Joshi, R · 2022
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Rosenthal, S., Atanasova, P., Karadzhov, G., Zampieri, M., and Nakov, P · 2020
Cited alongside, same era.
A monolingual approach to contextualized word embeddings for mid-resource languages
Suárez, P. J. O., Romary, L., and Sagot, B · 2020
Cited alongside, same era.
Alternating language modeling for cross-lingual pre-training
Yang, J., Ma, S., Zhang, D., Wu, S., Li, Z., and Zhou, M · 2020
Cited alongside, same era.
Bhattacharjee, A., Hasan, T., Ahmad, W. U., Samin, K., Islam, M. S., Iqbal, A., Rahman, M. S., and Shahriyar, R · 2021
Cited alongside, same era.
HateBERT: Retraining BERT for abusive language detection in English
Caselli, T., Basile, V., Mitrović, J., and Granitzer, M · 2021
Cited alongside, same era.
Muril: Multilingual representations for indian languages, 2021
Khanuja, S., Bansal, D., Mehtani, S., Khosla, S., Dey, A., Gopalan, B., Margam, D. K., Aggarwal, P., Nagipogu, R. T., Dave, S., Gupta, S., Gali, S. C. B., Subramanian, V., and Talukdar, P · 2021
Cited alongside, same era.
Emoberta: Speaker-aware emotion recognition in conversation with roberta
Kim, T., and Vossen, P · 2021
Cited alongside, same era.
Multilingual code-switching for zero-shot cross-lingual intent prediction and slot filling
Krishnan, J., Anastasopoulos, A., Purohit, H., and Rangwala, H · 2021
Cited alongside, same era.
An experimental analysis on the sensitivity of the most widely used edge detection methods to different noise types
Raihan, M. N., Ulfat, N., and Saqib, N · 2022
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Offmix-3l: A novel code-mixed test dataset in bangla-english-hindi for offensive language identification
Goswami, D., Raihan, M. N., Mahmud, A., Anastasopoulos, A., and Zampieri, M · 2023
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nlpbdpatriots at blp-2023 task 2: A transfer learning approach to bangla sentiment analysis
Goswami, D., Raihan, M. N., Puspo, S. S. C., and Zampieri, M · 2023
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Sentmix-3l: A novel code-mixed test dataset in bangla-english-hindi for sentiment analysis
Raihan, M. N., Goswami, D., Mahmud, A., Anastasopoulos, A., and Zampieri, M · 2023
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Raihan, M. N., Goswami, D., Puspo, S. S. C., and Zampieri, M · 2023
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Offensive language identification in transliterated and code-mixed bangla
Raihan, M. N., Tanmoy, U., Islam, A. B., North, K., Ranasinghe, T., Anastasopoulos, A., and Zampieri, M · 2023
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Goswami, D., Puspo, S. S. C., Raihan, M. N., and Emran, A. N. B · 2024
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