The time machine: A novel spike-based computation architecture. - Vaibhav Garg; Ravi Shekhar; John G. Harris (ISCAS, 2011)

Word Image Retrieval Using Bag of Visual Words. - Ravi Shekhar; C. V. Jawahar (Document Analysis Systems, 2012)

Content level access to digital library of India pages. - Praveen Krishnan; Ravi Shekhar; C. V. Jawahar (ICVGIP, 2012)

Spiking Neuron Computation With the Time Machine. - Vaibhav Garg; Ravi Shekhar; John G. Harris (IEEE Trans. Biomed. Circuits Syst., 2012)

Document Specific Sparse Coding for Word Retrieval. - Ravi Shekhar; C. V. Jawahar (ICDAR, 2013)

Building a Bagpipe with a Bag and a Pipe: Exploring Conceptual Combination in Vision. - Sandro Pezzelle; Ravi Shekhar; Raffaella Bernardi (VL@ACL, 2016)

FOIL it! Find One mismatch between Image and Language caption. - Ravi Shekhar; Sandro Pezzelle; Yauhen Klimovich; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (ACL (1), 2017)

Vision and Language Integration: Moving beyond Objects. - Ravi Shekhar; Sandro Pezzelle; Aurélie Herbelot; Moin Nabi; Enver Sangineto; Raffaella Bernardi (IWCS(2), 2017)

Ask No More: Deciding when to guess in referential visual dialogue. - Ravi Shekhar; Tim Baumgärtner; Aashish Venkatesh; Elia Bruni; Raffaella Bernardi; Raquel Fernández (COLING, 2018)

Jointly Learning to See, Ask, and GuessWhat. - Aashish Venkatesh; Ravi Shekhar; Tim Baumgärtner; Elia Bruni; Raffaella Bernardi; Raquel Fernández (CoRR, 2018)

Jointly Learning to See, Ask, Decide when to Stop, and then GuessWhat. - Ravi Shekhar; Alberto Testoni; Raquel Fernández; Raffaella Bernardi (CLiC-it, 2019)

Evaluating the Representational Hub of Language and Vision Models. - Ravi Shekhar; Ece Takmaz; Raquel Fernández; Raffaella Bernardi (IWCS (1), 2019)

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat. - Ravi Shekhar; Aashish Venkatesh; Tim Baumgärtner; Elia Bruni; Barbara Plank; Raffaella Bernardi; Raquel Fernández (NAACL-HLT (1), 2019)

Learning to merge - language and vision: A deep evaluation of the encoder, the role of the two modalities, the role of the training task. - Ravi Shekhar (2019)

Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection. - Andraz Pelicon; Ravi Shekhar; Matej Martinc; Blaz Skrlj; Matthew Purver; Senja Pollak (EACL (Hackashop), 2021)

EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions. - Senja Pollak; Marko Robnik-Sikonja; Matthew Purver; Michele Boggia; Ravi Shekhar; Marko Pranjic; Salla Salmela; Ivar Krustok; Tarmo Paju; Carl-Gustav Linden; Leo Leppänen; Elaine Zosa; et al. (EACL (Hackashop), 2021)

Not All Comments Are Equal: Insights into Comment Moderation from a Topic-Aware Model. - Elaine Zosa; Ravi Shekhar; Mladen Karan; Matthew Purver (RANLP, 2021)

Investigating cross-lingual training for offensive language detection. - Andraz Pelicon; Ravi Shekhar; Blaz Skrlj; Matthew Purver; Senja Pollak (PeerJ Comput. Sci., 2021)

CoRAL: a Context-aware Croatian Abusive Language Dataset. - Ravi Shekhar; Mladen Karan; Matthew Purver (AACL/IJCNLP (Findings), 2022)

CWID-hi: A Dataset for Complex Word Identification in Hindi Text. - Gayatri Venugopal; Dhanya Pramod; Ravi Shekhar (LREC, 2022)

LEDA: a Large-Organization Email-Based Decision-Dialogue-Act Analysis Dataset. - Mladen Karan; Prashant Khare; Ravi Shekhar; Stephen McQuistin; Ignacio Castro; Gareth Tyson; Colin Perkins; Patrick Healey 001; Matthew Purver (ACL (Findings), 2023)

Tracing Linguistic Markers of Influence in a Large Online Organisation. - Prashant Khare; Ravi Shekhar; Mladen Karan; Stephen McQuistin; Colin Perkins; Ignacio Castro; Gareth Tyson; Patrick Healey 001; Matthew Purver (ACL (2), 2023)

Target-Oriented Investigation of Online Abusive Attacks: A Dataset and Analysis. - Raneem Alharthi; Rajwa Alharthi; Ravi Shekhar; Arkaitz Zubiaga (IEEE Access, 2023)

Neural Machine Translation for Low-resource Languages: A Survey. - Surangika Ranathunga; En-Shiun Annie Lee; Marjana Prifti Skenduli; Ravi Shekhar; Mehreen Alam; Rishemjit Kaur (ACM Comput. Surv., 2023)

Denoising Labeled Data for Comment Moderation Using Active Learning. - Andraz Pelicon; Mladen Karan; Ravi Shekhar; Matthew Purver; Senja Pollak (LREC/COLING, 2024)

Making the Pick: Understanding Professional Editor Comment Curation in Online News. - Yupeng He; Yimeng Gu; Ravi Shekhar; Ignacio Castro; Gareth Tyson (ICWSM, 2024)

Use of prompt-based learning for code-mixed and code-switched text classification. - Pasindu Udawatta; Indunil Udayangana; Chathulanka Gamage; Ravi Shekhar; Surangika Ranathunga (World Wide Web (WWW), 2024)

Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models. - Olga Loginova; Oleksandr Bezrukov; Ravi Shekhar; Alexey Kravets (ACL (1), 2025)

Will I Get Hate Speech Predicting the Volume of Abusive Replies before Posting in Social Media. - Raneem Alharthi; Rajwa Alharthi; Ravi Shekhar; Aiqi Jiang; Arkaitz Zubiaga (CoRR, 2025)

SiTSE: Sinhala Text Simplification Dataset and Evaluation. - Surangika Ranathunga; Rumesh Sirithunga; Himashi Rathnayake; Lahiru de Silva; Thamindu Aluthwala; Saman Peramuna; Ravi Shekhar (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)