Search Results for author: Kishaloy Halder

Found 12 papers, 4 papers with code

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment

no code implementations19 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.

Aspect-Based Sentiment Analysis Aspect Extraction +3

Task-Specific Embeddings for Ante-Hoc Explainable Text Classification

no code implementations30 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.

Incremental Learning text-classification +1

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

1 code implementation12 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

Task-Aware Representation of Sentences for Generic Text Classification

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.

Binary Classification text-classification +2

Modeling Information Need of Users in Search Sessions

no code implementations3 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.

Treatment Side Effect Prediction from Online User-generated Content

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.

Feature Engineering

Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach

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.

Sentiment Analysis for Twitter : Going Beyond Tweet Text

no code implementations29 Nov 2016 Lahari Poddar, Kishaloy Halder, Xianyan Jia

Analysing sentiment of tweets is important as it helps to determine the users' opinion.

Sentiment Analysis

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