Dr Ravi Shekhar
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Email
r.shekhar@essex.ac.uk -
Location
5B.528, Colchester Campus
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Academic support hours
Wednesday, 11:00 - 12:00 (In person) Thursday, 13:00 - 14:00 (On Zoon)
Profile
Biography
I am a Lecturer at the 糖心Vlog. Before that, I was a post-doctoral researcher at the Queen Mary University of London, working with Professor Matthew Purver on the EMBEDDIA and SoDeStream projects. I obtained a Ph.D. at DISI, the University of Trento. I was supervised by Dr. Raffaella Bernardi, University of Trento, and co-supervised by Prof. Raquel Fern谩ndez, University of Amsterdam. My research interests include Natural Language Processing, Cross-Lingual Representation, Language and Vision Interaction, and Social Media Analysis.
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Qualifications
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Ph.D. University of Trento, (2019)
Appointments
糖心Vlog
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Lecturer in Natural Language Processing, School of Computer Science and Electronic Engineering, 糖心Vlog (1/2023 - present)
Other academic
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Post-Doctoral Researcher, School of Electronic Engineering and Computer Science, Queen Mary University of London (6/2019 - 1/2023)
Research and professional activities
Research interests
Multi-model NLP
Conversation AI
Social Media Analysis
Cross-Lingual Representation
Social Media Analysis
Assessing and mitigating online harms
NLP for social media
Abusive language detection
Large Language Models
Teaching and supervision
Current teaching responsibilities
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Text Analytics (CE807)
Publications
Journal articles (7)
Shekhar, R., Pranji膰, M., Pollak, S., Pelicon, A. and Purver, M., Automating News Comment Moderation with Limited Resources: Benchmarking in Croatian and Estonian. Journal for Language Technology and Computational Linguistics. 34 (1), 49-79
Ranathunga, S., Sirithunga, R., Rathnayake, H., De Silva, L., Aluthwala, T., Peramuna, S. and Shekhar, R., SiTSE: Sinhala Text Simplification Dataset and Evaluation. ACM Transactions on Asian and Low-Resource Language Information Processing
Healey, PGT., Khare, P., Castro, I., Tyson, G., Karan, M., Shekhar, R., McQuistin, S., Perkins, C. and Purver, M., (2024). . Frontiers in Psychology. 14
Udawatta, P., Udayangana, I., Gamage, C., Shekhar, R. and Ranathunga, S., (2024). Use of prompt-based learning for code-mixed and code-switched text classification. World Wide Web. 27 (5)
Alharthi, R., Alharthi, R., Shekhar, R. and Zubiaga, A., (2023). Target-Oriented Investigation of Online Abusive Attacks: A Dataset and Analysis. IEEE Access. 11, 64114-64127
Ranathunga, S., Lee, E-SA., Prifti Skenduli, M., Shekhar, R., Alam, M. and Kaur, R., (2023). Neural Machine Translation for Low-resource Languages: A Survey. ACM Computing Surveys. 55 (11), 1-37
Pelicon, A., Shekhar, R., 艩krlj, B., Purver, M. and Pollak, S., (2021). . PeerJ Computer Science. 7, e559-e559
Conferences (20)
He, Y., Gu, Y., Shekhar, R., Castro, I. and Tyson, G.,
Pelicon, A., Karan, M., Shekhar, R., Purver, M. and Pollak, S., (2024).
Healey, P., Khare, P., Castro, I., Tyson, G., Karan, M., Shekhar, R., McQuistin, S., Perkins, C. and Purver, M., (2023). Power and Vulnerability: Managing Sensitive Language in Organisational Communication
Khare, P., Shekhar, R., Karan, M., McQuistin, S., Perkins, C., Castro, I., Tyson, G., Healey, PGT. and Purver, M., (2023).
Karan, M., Khare, P., Shekhar, R., McQuistin, S., Castro, I., Tyson, G., Perkins, C., Healey, PGT. and Purver, M., (2023).
Shekhar, R., Karan, M. and Purver, M., (2022).
Venugopal, G., Pramod, D. and Shekhar, R., (2022).
Pelicon, A., Shekhar, R., Martinc, M., 艩krlj, B., Purver, M. and Pollak, S., (2021). Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
Pollak, S., 艩ikonja, MR., Purver, M., Boggia, M., Shekhar, R., Pranji膰, M., Salmela, S., Krustok, I., Paju, T., Linden, CG., Lepp盲nen, L., Zosa, E., Ul膷ar, M., Freienthal, L., Traat, S., Cabrera-Diego, LA., Martinc, M., Lavra膷, N., 艩krlj, B., 沤nidar拧i膷, M., Pelicon, A., Koloski, B., Podpe膷an, V., Kranjc, J., Sheehan, S., Boros, E., Moreno, JG., Doucet, A. and Toivonen, H., (2021). EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions
Zosa, E., Shekhar, R., Karan, M. and Purver, M., (2021).
Shekhar, R., Takmaz, E., Fern谩ndez, R. and Bernardi, R., (2019). Evaluating the Representational Hub of Language and Vision Models
Shekhar, R., Venkatesh, A., Baumg盲rtner, T., Bruni, E., Plank, B., Bernardi, R. and Fern谩ndez, R., (2019). Beyond task success: A closer look at jointly learning to see, ask, and
Shekhar, R., Testoni, A., Fern谩ndez, R. and Bernardi, R., (2019). Jointly learning to see, ask, decide when to stop, and then guesswhat
Shekhar, R., Baumg盲rtner, T., Venkatesh, A., Bruni, E., Bernardi, R. and Fernandez, R., (2018). Ask no more: Deciding when to guess in referential visual dialogue
Shekhar, R., Pezzelle, S., Klimovich, Y., Herbelot, A., Nabi, M., Sangineto, E. and Bernardi, R., (2017). FOIL it! Find One mismatch between Image and Language caption
Shekhar, R., Pezzelle, S., Herbelot, A., Nabi, M., Sangineto, E. and Bernardi, R., (2017). Vision and language integration: Moving beyond objects
Pezzelle, S., Shekhar, R. and Bernardi, R., (2016). Building a Bagpipe with a Bag and a Pipe: Exploring Conceptual Combination in Vision
Shekhar, R. and Jawahar, CV., (2013). Document Specific Sparse Coding for Word Retrieval
Shekhar, R. and Jawahar, CV., (2012). Word Image Retrieval Using Bag of Visual Words
Krishnan, P., Shekhar, R. and Jawahar, CV., (2012). Content level access to digital library of India pages
Grants and funding
2024
To explore and implement applications of natural language processing in commodities trading software, enabling operators to interact with their data in a conversational manner.
Innovate UK (formerly Technology Strategy Board)
To develop AI / NLP functionality within the Chorus Intelligence System (CIS) for use by the police, government agencies and financial organisations to allow users to easily identify persons, groups, events and locations at risk (identified as a function of harm/probability) as well as trends and themes in the data.
Innovate UK (formerly Technology Strategy Board)
2023
Multilingual and Cross-cultural interactions for context-aware, and bias-controlled dialogue systems for safety-critical applications
European Commission
Contact
Academic support hours:
Wednesday, 11:00 - 12:00 (In person) Thursday, 13:00 - 14:00 (On Zoon)
