1 code implementation • 2 Apr 2024 • Soham Poddar, Rajdeep Mukherjee, Subhendu Khatuya, Niloy Ganguly, Saptarshi Ghosh
The debate around vaccines has been going on for decades, but the COVID-19 pandemic showed how crucial it is to understand and mitigate anti-vaccine sentiments.
1 code implementation • 28 Oct 2023 • Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh
Automatic summarization of legal case judgments is a practically important problem that has attracted substantial research efforts in many countries.
1 code implementation • 24 Oct 2023 • Rajdeep Mukherjee, Nithish Kannen, Saurabh Kumar Pandey, Pawan Goyal
We then (pre)train an encoder-decoder model by applying contrastive learning on the decoder-generated aspect-aware sentiment representations of the masked terms.
Ranked #2 on Aspect Sentiment Triplet Extraction on ASTE-Data-V2
Aspect Sentiment Triplet Extraction Aspect Term Extraction and Sentiment Classification +2
1 code implementation • 22 Oct 2022 • Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal
Despite tremendous progress in automatic summarization, state-of-the-art methods are predominantly trained to excel in summarizing short newswire articles, or documents with strong layout biases such as scientific articles or government reports.
1 code implementation • 14 Oct 2022 • Abhay Shukla, Paheli Bhattacharya, Soham Poddar, Rajdeep Mukherjee, Kripabandhu Ghosh, Pawan Goyal, Saptarshi Ghosh
Summarization of legal case judgement documents is a challenging problem in Legal NLP.
1 code implementation • SemEval (NAACL) 2022 • Raghav R, Adarsh Vemali, Rajdeep Mukherjee
Structured Sentiment Analysis (SSA) deals with extracting opinion tuples in a text, where each tuple (h, e, t, p) consists of h, the holder, who expresses a sentiment polarity p towards a target t through a sentiment expression e. While prior works explore graph-based or sequence labeling-based approaches for the task, we in this paper present a novel unified generative method to solve SSA, a SemEval2022 shared task.
1 code implementation • 28 Apr 2022 • Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee, Niloy Ganguly, Saptarshi Ghosh
This is also the first multi-label classification dataset that provides explanations for each of the labels.
1 code implementation • 10 Dec 2021 • Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal, Niloy Ganguly
Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace.
1 code implementation • EMNLP 2021 • Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal
Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinion term/span explaining the rationale behind the sentiment.
1 code implementation • 9 May 2021 • Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly
For the regression task, VADEC, when trained with SenWave, achieves 7. 6% and 16. 5% gains in Pearson Correlation scores over the current state-of-the-art on the EMOBANK dataset for the Valence (V) and Dominance (D) affect dimensions respectively.
1 code implementation • 23 Jan 2021 • Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal
With the exponential growth of online marketplaces and user-generated content therein, aspect-based sentiment analysis has become more important than ever.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
no code implementations • 20 Aug 2020 • Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik, Soham Dasgupta
Since its outbreak, the ongoing COVID-19 pandemic has caused unprecedented losses to human lives and economies around the world.
1 code implementation • 8 Jun 2020 • Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly
Manually extracting relevant aspects and opinions from large volumes of user-generated text is a time-consuming process.
no code implementations • 10 Nov 2018 • Sawon Pratiher, Subhankar Chattoraj, Rajdeep Mukherjee
A novel non-stationarity visualization tool known as StationPlot is developed for deciphering the chaotic behavior of a dynamical time series.