no code implementations • ICCV 2023 • Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector Santos-Villalobos, Vimal Bhat, Rohith MV
Previous research has studied the task of segmenting cinematic videos into scenes and into narrative acts.
no code implementations • WS 2020 • Aoife Cahill, James H Fife, Brian Riordan, Avijit Vajpayee, Dmytro Galochkin
The tasks of automatically scoring either textual or algebraic responses to mathematical questions have both been well-studied, albeit separately.
no code implementations • WS 2020 • Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan
Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments and beliefs.
no code implementations • LREC 2020 • Arjit Srivastava, Avijit Vajpayee, Syed Sarfaraz Akhtar, Naman jain, Vinay Singh, Manish Shrivastava
The advent of social media has immensely proliferated the amount of opinions and arguments voiced on the internet.
no code implementations • 15 Nov 2017 • Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Manish Shrivastava
We evaluate our method using small sized training sets on eleven test sets for the word similarity task across seven languages.
no code implementations • 15 Nov 2017 • Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhawar, Manish Shrivastava
Our model handles the problem of data scarcity which is faced by many languages in the world and yields improved word embeddings for words in the target language by relying on transformed embeddings of words of the source language.
no code implementations • EMNLP 2017 • Arihant Gupta, Syed Sarfaraz Akhtar, Avijit Vajpayee, Arjit Srivastava, Madan Gopal Jhanwar, Manish Shrivastava
We present an unsupervised, language agnostic approach for exploiting morphological regularities present in high dimensional vector spaces.
no code implementations • WS 2017 • Syed Sarfaraz Akhtar, Arihant Gupta, Avijit Vajpayee, Arjit Srivastava, Manish Shrivastava
With the advent of word representations, word similarity tasks are becoming increasing popular as an evaluation metric for the quality of the representations.