Himanshu Gupta

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis

Feb 21, 2023
Kevin Scaria, Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral

Figure 2 for InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis

Figure 3 for InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis

Figure 4 for InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis

* 4 pages, 2 figures, 5 tables, 4 appendix pages

Access Paper or Ask Questions

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility

Oct 14, 2022
Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral

Figure 2 for "John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility

Figure 3 for "John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility

Figure 4 for "John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility

* 4 pages + 5 pages in Appendix

Access Paper or Ask Questions

Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning

Jun 20, 2022
Himanshu Gupta, Bradley Hayes, Zachary Sunberg

Figure 2 for Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning

Figure 3 for Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning

Figure 4 for Intention-Aware Navigation in Crowds with Extended-Space POMDP Planning

Access Paper or Ask Questions

Surgical Phase Recognition in Laparoscopic Cholecystectomy

Jun 14, 2022
Yunfan Li, Vinayak Shenoy, Prateek Prasanna, I. V. Ramakrishnan, Haibin Ling, Himanshu Gupta

Figure 2 for Surgical Phase Recognition in Laparoscopic Cholecystectomy

Figure 3 for Surgical Phase Recognition in Laparoscopic Cholecystectomy

Figure 4 for Surgical Phase Recognition in Laparoscopic Cholecystectomy

Access Paper or Ask Questions

Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues

Jun 01, 2022
Sandhya Singh, Prapti Roy, Nihar Sahoo, Niteesh Mallela, Himanshu Gupta, Pushpak Bhattacharyya, Milind Savagaonkar, Nidhi, Roshni Ramnani, Anutosh Maitra, Shubhashis Sengupta

Figure 2 for Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues

Figure 3 for Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues

Figure 4 for Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues

Access Paper or Ask Questions

DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared Spectrum Systems

Jan 19, 2022
Mohammad Ghaderibaneh, Caitao Zhan, Himanshu Gupta

Figure 2 for DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared Spectrum Systems

Figure 3 for DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared Spectrum Systems

Figure 4 for DeepAlloc: CNN-Based Approach to Efficient Spectrum Allocation in Shared Spectrum Systems

* 12 pages, 15 figures

Access Paper or Ask Questions

Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension

Sep 16, 2021
Himanshu Gupta, Amogh Badugu, Tamanna Agrawal, Himanshu Sharad Bhatt

Figure 2 for Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension

Figure 3 for Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension

Figure 4 for Zero-Shot Open Information Extraction using Question Generation and Reading Comprehension

* 8 pages, 2 Figures, 1 Algorithm, 7 Tables. Accepted in KDD Workshop on Machine Learning in Finance 2021

Access Paper or Ask Questions

An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models

Aug 08, 2021
Himanshu Gupta, Tanmay G. Kulkarni, Lov Kumar, Lalita Bhanu Murthy Neti, Aneesh Krishna

Figure 2 for An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models

Figure 3 for An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models

Figure 4 for An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models

* Lecture Notes in Networks and Systems, vol 226. Springer, Cham. 27 April 2021, pages 120-132
* 12 pages, 6 Figures, 3 Tables, Accepted in the 35th International Conference on Advanced Information Networking and Applications (AINA-2021)

Access Paper or Ask Questions

Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell

Aug 08, 2021
Himanshu Gupta, Abhiram Anand Gulanikar, Lov Kumar, Lalita Bhanu Murthy Neti

Figure 2 for Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell

Figure 3 for Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell

Figure 4 for Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell

* 10 pages, 6 Figures, 6 Tables, Accepted in 21th International Symposium on Software Engineering Processes and Applications 2021 (ICCSA), Software Engineering Processes and Applications (SEPA: 2021)

Access Paper or Ask Questions

1

2

>>