G
Giritheja Sreenivasulu
Publications - 5
Citations - 23
Giritheja Sreenivasulu is an academic researcher. The author has contributed to research in topics: Computer science & Similarity (geometry). The author has an hindex of 2, co-authored 2 publications receiving 15 citations.
Papers
More filters
Posted Content
Gunrock: A Social Bot for Complex and Engaging Long Conversations
Dian Yu,Michelle Cohn,Yi Mang Yang,Chun-Yen Chen,Weiming Wen,Jiaping Zhang,Mingyang Zhou,Kevin Jesse,Austin Chau,Antara Bhowmick,Shreenath Iyer,Giritheja Sreenivasulu,Sam Davidson,Ashwin Bhandare,Zhou Yu +14 more
TL;DR: Overall, it is found that users produce longer sentences to Gunrock, which are directly related to users’ engagement (e.g., ratings, number of turns), and dialog flows that interleave facts and personal opinions and stories lead to better user satisfaction.
Proceedings ArticleDOI
Gunrock: A Social Bot for Complex and Engaging Long Conversations
Dian Yu,Michelle Cohn,Yi Mang Yang,Chun-Yen Chen,Weiming Wen,Jiaping Zhang,Mingyang Zhou,Kevin Jesse,Austin Chau,Antara Bhowmick,Shreenath Iyer,Giritheja Sreenivasulu,Sam Davidson,Ashwin Bhandare,Zhou Yu +14 more
TL;DR: Gunrock is the winner of the 2018 Amazon Alexa Prize, as evaluated by coherence and engagement from both real users and Amazon-selected expert conversationalists as discussed by the authors, focusing on understanding complex sentences and having in-depth conversations in open domains.
Proceedings ArticleDOI
An Effective approach for preparation of News Summary using web scraping techniques
TL;DR: In this paper , the authors present a strategy to assemble news from specific sites and give it to guests in a reasonable and compact way, which takes into account personalization of news items.
Analyzing cc camera for social distance
TL;DR: An active surveillance system to slow the spread of COVID-19 by warning individuals in a region-of-interest by defining a novel critical social density value and showing that the chance of SD violation occurrence can be held near zero if the pedestrian density is kept under this value.
Book ChapterDOI
Efficient Trajectory Clustering of Movements of Moving Objects
TL;DR: In this paper , a new algorithm is proposed for clustering trajectories of moving objects based on trajectory similarity measure called symmetrical difference measure (SDM), which is easy to compute and interpret.