1 code implementation • 26 May 2023 • Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
In this paper, we propose three dimensions of linguistic dataset drift: vocabulary, structural, and semantic drift.
no code implementations • 19 May 2023 • Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan
We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks.
no code implementations • 30 Nov 2022 • Kishaloy Halder, Josip Krapac, Alan Akbik, Anthony Brew, Matti Lyra
In a series of experiments, we show that this yields a number of interesting benefits: (1) The resulting order induced by distances in the embedding space can be used to directly explain classification decisions.
no code implementations • 25 Oct 2022 • Kishaloy Halder, Josip Krapac, Dmitry Goryunov, Anthony Brew, Matti Lyra, Alsida Dizdari, William Gillett, Adrien Renahy, Sinan Tang
Ensuring safety of the products offered to the customers is of paramount importance to any e- commerce platform.
1 code implementation • 12 Oct 2022 • Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth
Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task which involves four elements from user-generated texts: aspect term, aspect category, opinion term, and sentiment polarity.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
1 code implementation • COLING 2020 • Kishaloy Halder, Alan Akbik, Josip Krapac, Roland Vollgraf
State-of-the-art approaches for text classification leverage a transformer architecture with a linear layer on top that outputs a class distribution for a given prediction problem.
1 code implementation • COLING 2020 • Akshay Bhola, Kishaloy Halder, Animesh Prasad, Min-Yen Kan
We introduce a deep learning model to learn the set of enumerated job skills associated with a job description.
no code implementations • 3 Jan 2020 • Kishaloy Halder, Heng-Tze Cheng, Ellie Ka In Chio, Georgios Roumpos, Tao Wu, Ritesh Agarwal
Users issue queries to Search Engines, and try to find the desired information in the results produced.
no code implementations • NAACL 2019 • Kishaloy Halder, Min-Yen Kan, Kazunari Sugiyama
Users participate in online discussion forums to learn from others and share their knowledge with the community.
no code implementations • WS 2018 • Van Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder
With Health 2. 0, patients and caregivers increasingly seek information regarding possible drug side effects during their medical treatments in online health communities.
no code implementations • WS 2017 • Kishaloy Halder, Lahari Poddar, Min-Yen Kan
We study the problem of predicting a patient{'}s emotional status in the future from her past posts and we propose a Recurrent Neural Network (RNN) based architecture to address it.
no code implementations • 29 Nov 2016 • Lahari Poddar, Kishaloy Halder, Xianyan Jia
Analysing sentiment of tweets is important as it helps to determine the users' opinion.