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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 43 1 Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System Sumathy, B.; Kumar, Anand; Sungeetha, D.... In: Comput Intell Neurosci (2022) BASE Show details 2 CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Piyush; Akula, Arjun. - : Underline Science Inc., 2021 BASE Show details 3 ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease ... Kumar, Yash; Maheshwari, Piyush; Joshi, Shreyansh. - : arXiv, 2021 BASE Show details 4 COSMic: A Coherence-Aware Generation Metric for Image Descriptions ... İnan, Mert; Sharma, Piyush; Khalid, Baber. - : arXiv, 2021 BASE Show details 5 Understanding Guided Image Captioning Performance across Domains ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Piyush; Ng, Edwin; Pang, Bo; Soricut, Radu. - : Underline Science Inc., 2021 Abstract: Image captioning models generally lack the capability to take into account user interest, and usually default to global descriptions that try to balance readability, informativeness, and information overload. We present a Transformer-based model with the ability to produce captions focused on specific objects, concepts or actions in an image by providing them as guiding text to the model. Further, we evaluate the quality of these guided captions when trained on Conceptual Captions which contain 3.3M image-level captions compared to Visual Genome which contain 3.6M object-level captions. Counter-intuitively, we find that guided captions produced by the model trained on Conceptual Captions generalize better on out-of-domain data. Our human-evaluation results indicate that attempting in-the-wild guided image captioning requires access to large, unrestricted-domain training datasets, and that increased style diversity (even without increasing the number of unique tokens) is a key factor for improved performance. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/pqjj-f894 https://underline.io/lecture/39879-understanding-guided-image-captioning-performance-across-domains BASE Hide details 6 Psycho-linguistic differences among competing vaccination communities on social media ... Shi, Jialiang; Ghasiya, Piyush; Sasahara, Kazutoshi. - : arXiv, 2021 BASE Show details 7 Rapid transition to online teaching program during COVID-19 lockdown: Experience from a medical college of India Khan, Amir Maroof; Patra, Somdatta; Gupta, Piyush... In: J Educ Health Promot (2021) BASE Show details 8 An Emotion Care Model using Multimodal Textual Analysis on COVID-19 Gupta, Vedika; Jain, Nikita; Katariya, Piyush... In: Chaos Solitons Fractals (2021) BASE Show details 9 hinglishNorm -- A Corpus of Hindi-English Code Mixed Sentences for Text Normalization ... Makhija, Piyush; Kumar, Ankit; Gupta, Anuj. - : arXiv, 2020 BASE Show details 10 hinglishNorm - A Corpus of Hindi-English Code Mixed Sentences for Text Normalization ... The 28th International Conference on Computational Linguistics 2020; Gupta, Anuj; Kumar, Ankit. - : Underline Science Inc., 2020 BASE Show details 11 MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching Mishra, Rahul; Yadav, Piyush; Calizzano, Remi... In: Mishra, Rahul; Yadav, Piyush; Calizzano, Remi; Leippold, Markus (2020). MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching. In: International Conference on Machine Learning and Applications (ICMLA) 2020, Miami, Florida, 14 December 2020 - 17 December 2020. (2020) BASE Show details 12 Monitor Sustainable Municipalities Report 2019 Key topic Circular Economy. Bertelsmann Stiftung Study 4 November 2019 Dhawan, Piyush; Beckmann, Janpeter. - 2019 BASE Show details 13 Promoting user engagement and learning in search tasks by effective document representation Arora, Piyush. - : Dublin City University. School of Computing, 2018. : Dublin City University. ADAPT, 2018 In: Arora, Piyush orcid:0000-0002-4261-2860 (2018) Promoting user engagement and learning in search tasks by effective document representation. PhD thesis, Dublin City University. (2018) BASE Show details 14 Rehabilitation Of Completely Edentulous Mandibular Arch Using Implant Supported Fixed Prosthesis - A Case Report. ... Kaushik, Kiran; Dhawan, Pankaj; Madhukar, Pankaj. - : Zenodo, 2018 BASE Show details 15 Full Mouth Rehabilitaion Of Worn Dentition Using Pankey Mann Schuyler Technique & Broadrick Flag Method- A Case Report. ... Kaushik, Kiran; Dhawan, Pankaj; Madhukar, Pankaj. - : Zenodo, 2018 BASE Show details 16 Full Mouth Rehabilitaion Of Worn Dentition Using Pankey Mann Schuyler Technique & Broadrick Flag Method- A Case Report. ... Kaushik, Kiran; Dhawan, Pankaj; Madhukar, Pankaj. - : Zenodo, 2018 BASE Show details 17 Rehabilitation Of Completely Edentulous Mandibular Arch Using Implant Supported Fixed Prosthesis - A Case Report. ... Kaushik, Kiran; Dhawan, Pankaj; Madhukar, Pankaj. - : Zenodo, 2018 BASE Show details 18 Study Of Front End And Back End Model Of Compiler ... Piyush Choudhary. - : Zenodo, 2018 BASE Show details 19 Study Of Front End And Back End Model Of Compiler ... Piyush Choudhary. - : Zenodo, 2018 BASE Show details 20 How do users perceive information: analyzing user feedback while annotating textual units Jones, Gareth J.F.; Arora, Piyush In: Arora, Piyush orcid:0000-0003-0055-345X and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2017) How do users perceive information: analyzing user feedback while annotating textual units. In: CHIIR 2017 Workshop on Supporting Complex Search Tasks, 11 Mar 2017, Oslo, Norway. (2017) BASE Show details Page: 1 2 3

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