no code implementations • 15 Nov 2023 • Narges Tabari, Sandesh Swamy, Rashmi Gangadharaiah
Providing a personalized user experience on information dense webpages helps users in reaching their end-goals sooner.
no code implementations • 30 Jan 2023 • Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah
Specifically, we propose an approach that performs contextual dynamic prompting where the prompts are learnt from dialog contexts.
1 code implementation • 22 Jul 2019 • Armin Seyeditabari, Narges Tabari, Shafie Gholizadeh, Wlodek Zadrozny
In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, artificial intelligence, etc.
no code implementations • SEMEVAL 2019 • Murugesan Ramakrishnan, Wlodek Zadrozny, Narges Tabari
With the growth in the usage of social media, it has become increasingly common for people to hide behind a mask and abuse others.
no code implementations • 31 May 2019 • Armin Seyeditabari, Narges Tabari, Shafie Gholizade, Wlodek Zadrozny
We show that fitting an emotional model into pre-trained word vectors can increase the performance of these models in emotional similarity metrics.
no code implementations • WS 2018 • Narges Tabari, Piyusha Biswas, Bhanu Praneeth, Armin Seyeditabari, Mirsad Hadzikadic, Wlodek Zadrozny
Sentiment analysis is the process of identifying the opinion expressed in text.
no code implementations • 2 Jun 2018 • Armin Seyeditabari, Narges Tabari, Wlodek Zadrozny
In recent years, emotion detection in text has become more popular due to its vast potential applications in marketing, political science, psychology, human-computer interaction, artificial intelligence, etc.
no code implementations • SEMEVAL 2017 • Narges Tabari, Armin Seyeditabari, Wlodek Zadrozny
Sentiment analysis is the process of identifying the opinion expressed in text.