Vishakha Kadam

Vishakha Kadam's Title

Vishakha Kadam holds the esteemed title of Research Scientist. Her role involves pioneering work in the field of natural language processing (NLP) and artificial intelligence (AI). As a research scientist, she is responsible for conducting cutting-edge research, developing innovative solutions, and contributing to the scientific community through publications and presentations.

Vishakha Kadam's Achievements

Vishakha Kadam has made significant contributions to the field of NLP and AI, evidenced by her numerous research papers presented and published at prestigious conferences and journals. Her work on 'Plot Writing From Pre-Trained Language Models' and 'Automated Ad Creative Generation' was showcased at the 15th International Natural Language Generation (NLG) Conference. Additionally, her collaborative research on 'Towards Weakly-Supervised Hate Speech Classification Across Datasets' was accepted at the 7th Workshop on Online Abuse and Harms (WOAH), highlighting her dedication to solving real-world challenges.

Vishakha Kadam's Contributions to Natural Language Generation

Kadam's research in natural language generation has garnered attention within the academic community. Her paper on 'Automated Ad Creative Generation' was not only presented at the 15th International Natural Language Generation (INLG) Conference but also published in its proceedings. This work focuses on leveraging AI to automate the creation of advertising content, showcasing her ability to merge technical expertise with practical applications. Furthermore, her research on improving slogan generation's coherence and diversity, published in Natural Language Engineering (NLE), underscores her commitment to enhancing the quality of automated text generation.

Vishakha Kadam's Research on Hate Speech Classification

In her paper 'Towards Weakly-Supervised Hate Speech Classification Across Datasets,' accepted at the 7th Workshop on Online Abuse and Harms (WOAH), Vishakha Kadam explores innovative approaches to detecting and classifying hate speech. This research is crucial in today's digital age, where online abuse and harmful content are prevalent. By developing weakly-supervised methods, Kadam aims to improve the accuracy and scalability of hate speech detection systems, demonstrating her commitment to addressing societal issues through advanced technological solutions.

Vishakha Kadam's Work on Contextual Advertising

Kadam's co-authored research paper, 'Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia,' presented at the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15), illustrates her expertise in contextual advertising. This research leverages the vast knowledge base of Wikipedia to develop a classifier that enhances the precision of targeted advertising. By integrating graph-based methods, Kadam's work contributes to the advancement of advertising technologies, making them more relevant and effective for end-users.