no code implementations • CONSTRAINT (ACL) 2022 • Shivam Sharma, Tharun Suresh, Atharva Kulkarni, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
We present the findings of the shared task at the CONSTRAINT 2022 Workshop: Hero, Villain, and Victim: Dissecting harmful memes for Semantic role labeling of entities.
no code implementations • CONSTRAINT (ACL) 2022 • Megha Sundriyal, Ganeshan Malhotra, Md Shad Akhtar, Shubhashis Sengupta, Andrew Fano, Tanmoy Chakraborty
The current vogue is to employ manual fact-checkers to verify claims to combat this avalanche of misinformation.
no code implementations • 29 Jan 2025 • Amey Hengle, Aswini Kumar, Anil Bandhakavi, Tanmoy Chakraborty
Counterspeech has been popular as an effective approach to counter online hate speech, leading to increasing research interest in automated counterspeech generation using language models.
no code implementations • 25 Jan 2025 • Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
The ever-increasing size of large language models (LLMs) presents significant challenges for deployment due to their heavy computational and memory requirements.
1 code implementation • 23 Jan 2025 • Sahil Mishra, Avi Patni, Niladri Chatterjee, Tanmoy Chakraborty
A taxonomy is a hierarchical graph containing knowledge to provide valuable insights for various web applications.
1 code implementation • 15 Jan 2025 • Eshaan Tanwar, Gayatri Oke, Tanmoy Chakraborty
Bilingual lexical processing is shaped by the complex interplay of phonological, orthographic, and semantic features of two languages within an integrated mental lexicon.
no code implementations • 6 Jan 2025 • Aseem Srivastava, Gauri Naik, Alison Cerezo, Tanmoy Chakraborty, Md. Shad Akhtar
Our findings show that 91% of users find the system effective, 80% express satisfaction, and over 85. 45% convey a willingness to continue using the interface and recommend it to others, demonstrating the practical applicability of EmpRes in addressing the pressing challenges of mental health support, emphasizing user feedback, and ethical considerations in a real-world context.
no code implementations • 6 Jan 2025 • Aseem Srivastava, Zuhair Hasan Shaik, Tanmoy Chakraborty, Md Shad Akhtar
The therapeutic bond between a patient and a therapist directly correlates with effective mental health counseling.
1 code implementation • 29 Dec 2024 • Palash Nandi, Shivam Sharma, Tanmoy Chakraborty
Here, we curate two novel multimodal hate speech datasets, MHS and MHS-Con, that capture fine-grained hateful abstractions in regular and confounding scenarios, respectively.
1 code implementation • 11 Dec 2024 • Ashutosh Bajpai, Tanmoy Chakraborty
The unwavering disparity in labeled resources between resource-rich languages and those considered low-resource remains a significant impediment for Large Language Models (LLMs).
no code implementations • 16 Nov 2024 • Prasoon Bajpai, Sarah Masud, Tanmoy Chakraborty
Large Language Models (LLMs) have demonstrated strong performance as knowledge repositories, enabling models to understand user queries and generate accurate and context-aware responses.
1 code implementation • 7 Nov 2024 • Ayan Sengupta, Vaibhav Seth, Arinjay Pathak, Natraj Raman, Sriram Gopalakrishnan, Tanmoy Chakraborty
Large Language Models (LLMs) are highly resource-intensive to fine-tune due to their enormous size.
Natural Language Understanding
parameter-efficient fine-tuning
1 code implementation • 5 Oct 2024 • Joykirat Singh, Subhabrata Dutta, Tanmoy Chakraborty
Large Language Models trained on web-scale text acquire language generation abilities that can solve a wide range of tasks, particularly when task knowledge is refined into the generative prior using in-context examples.
1 code implementation • 3 Oct 2024 • Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty
For subjective tasks such as hate detection, where people perceive hate differently, the Large Language Model's (LLM) ability to represent diverse groups is unclear.
1 code implementation • 3 Oct 2024 • Anwoy Chatterjee, H S V N S Kowndinya Renduchintala, Sumit Bhatia, Tanmoy Chakraborty
Despite their remarkable capabilities, Large Language Models (LLMs) are found to be surprisingly sensitive to minor variations in prompts, often generating significantly divergent outputs in response to minor variations in the prompts, such as spelling errors, alteration of wording or the prompt template.
no code implementations • 30 Sep 2024 • Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty
To address this, we propose the iCOPERNICUS framework, a novel In-COntext PERsonalization learNIng sCrUtiny of Summarization capability in LLMs that uses EGISES as a comparative measure.
no code implementations • 25 Sep 2024 • Ujjawal Sharma, Madhav Biyani, Akhil Dev Suresh, Debi Prasad Bhuyan, Saroj Kanta Mishra, Tanmoy Chakraborty
The model predicts an above-normal monsoon for the year 2024, with an accumulated rainfall of 921. 6 mm in the month of June-September for the entire country.
no code implementations • 23 Sep 2024 • Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar
We further benchmark PIECE with other LLMs and report improvement, including Llama-2 (+2. 72%), Mistral (+2. 04%), and Zephyr (+1. 59%), to justify the generalizability of the planning engine.
1 code implementation • 21 Sep 2024 • Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty
Large Language Models (LLMs) and AI assistants driven by these models are experiencing exponential growth in usage among both expert and amateur users.
1 code implementation • 21 Sep 2024 • Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty
In this study, we introduce TeCFaP, a novel Temporally Consistent Factuality Probe task to expand the consistent factuality probe in the temporal dimension.
1 code implementation • 26 Aug 2024 • Aradhye Agarwal, Suhas K Ramesh, Ayan Sengupta, Tanmoy Chakraborty
We introduce $\text{ID}^3$, a novel selective PEFT method that calculates parameter importance continually and dynamically unmasks parameters by balancing exploration and exploitation in parameter selection.
1 code implementation • 19 Aug 2024 • Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty
To our knowledge, this is the first study to investigate the multilingual long-context behavior of LLMs.
1 code implementation • 8 Aug 2024 • Megha Sundriyal, Harshit Choudhary, Tanmoy Chakraborty, Md Shad Akhtar
We introduce CROWDSHIELD, a crowd intelligence-based method for early misinformation prediction.
no code implementations • 29 Jun 2024 • Sourish Dasgupta, Ankush Chander, Parth Borad, Isha Motiyani, Tanmoy Chakraborty
However, a recent study argued that accuracy measures are inadequate for evaluating the degree of personalization of these models and proposed EGISES, the first metric to evaluate personalized text summaries.
1 code implementation • 6 Jun 2024 • Neemesh Yadav, Sarah Masud, Vikram Goyal, Md Shad Akhtar, Tanmoy Chakraborty
Employing language models to generate explanations for an incoming implicit hate post is an active area of research.
1 code implementation • 26 May 2024 • Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee, Tanmoy Chakraborty
Message passing on hypergraphs has been a standard framework for learning higher-order correlations between hypernodes.
no code implementations • 18 May 2024 • Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty
Memes have evolved as a prevalent medium for diverse communication, ranging from humour to propaganda.
1 code implementation • 17 May 2024 • Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta, Tanmoy Chakraborty
We design a cross-task prompting setup with three LLMs and show that LLMs achieve significant performance improvements despite no examples from the target task in the context.
no code implementations • 3 May 2024 • Salam Michael Singh, Shubhmoy Kumar Garg, Amitesh Misra, Aaditeshwar Seth, Tanmoy Chakraborty
In this regard, we strive towards designing SUKHSANDESH, a multi-staged AI-based Question Answering platform for sexual education tailored to rural India, adhering to safety guardrails and regional language support.
no code implementations • 2 Apr 2024 • Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty
The solver model generates the solution to the subproblems that are then checked by the verifier module; depending upon the feedback from the verifier, the reasoning context is constructed using the subproblems and the solutions.
no code implementations • 25 Mar 2024 • Kartik Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md Shad Akhtar
In this paper, we tackle the problem of code-mixed (Hinglish and Bengalish) to English machine translation.
no code implementations • 29 Feb 2024 • Prottay Kumar Adhikary, Aseem Srivastava, Shivani Kumar, Salam Michael Singh, Puneet Manuja, Jini K Gopinath, Vijay Krishnan, Swati Kedia, Koushik Sinha Deb, Tanmoy Chakraborty
Further, expert evaluation reveals that Mistral supersedes both MentalLlama and MentalBART based on six parameters -- affective attitude, burden, ethicality, coherence, opportunity costs, and perceived effectiveness.
no code implementations • 29 Feb 2024 • Shivani Kumar, Md Shad Akhtar, Erik Cambria, Tanmoy Chakraborty
We present SemEval-2024 Task 10, a shared task centred on identifying emotions and finding the rationale behind their flips within monolingual English and Hindi-English code-mixed dialogues.
1 code implementation • 28 Feb 2024 • Subhabrata Dutta, Joykirat Singh, Soumen Chakrabarti, Tanmoy Chakraborty
Despite superior reasoning prowess demonstrated by Large Language Models (LLMs) with Chain-of-Thought (CoT) prompting, a lack of understanding prevails around the internal mechanisms of the models that facilitate CoT generation.
1 code implementation • 21 Feb 2024 • Sahil Mishra, Ujjwal Sudev, Tanmoy Chakraborty
In this paper, we propose FLAME, a novel approach for taxonomy expansion in low-resource environments by harnessing the capabilities of large language models that are trained on extensive real-world knowledge.
1 code implementation • 3 Feb 2024 • Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md Shad Akhtar, Tanmoy Chakraborty
Despite the widespread adoption, there is a lack of research into how various critical aspects of pretrained language models (PLMs) affect their performance in hate speech detection.
no code implementations • 30 Jan 2024 • Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee
In the evolving landscape of online communication, moderating hate speech (HS) presents an intricate challenge, compounded by the multimodal nature of digital content.
no code implementations • 18 Jan 2024 • Shivani Kumar, Tanmoy Chakraborty
In this study, we explore response generation within code-mixed conversations.
no code implementations • 10 Dec 2023 • Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty
We employ clustering techniques to learn the diversity of a model's sample space and how data points are mapped from the embedding space to the encoder space and vice versa.
1 code implementation • 9 Dec 2023 • Subhabrata Dutta, Joykirat Singh, Ishan Pandey, Sunny Manchanda, Soumen Chakrabarti, Tanmoy Chakraborty
In this paper, we start with the hypothesis that much smaller LMs, which are weak at multi-step reasoning, can achieve reasonable arithmetic reasoning if arithmetic word problems are posed as a formalize-then-solve task.
Ranked #14 on
Math Word Problem Solving
on SVAMP
(using extra training data)
no code implementations • 29 Nov 2023 • Abhishek Madaan, Tanya Chowdhury, Neha Rana, James Allan, Tanmoy Chakraborty
As a result, we propose a measure to quantify the relative complexity of a blackbox classifier.
no code implementations • 16 Nov 2023 • Sarah Masud, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty
As hate speech continues to proliferate on the web, it is becoming increasingly important to develop computational methods to mitigate it.
no code implementations • 30 Oct 2023 • Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
However, the sheer volume of information makes it difficult to identify fake news effectively.
1 code implementation • 22 Oct 2023 • Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty
In this work, we propose TransJect, an encoder model that guarantees a theoretical bound for layer-wise distance preservation between a pair of tokens.
1 code implementation • 22 Oct 2023 • Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov
To evaluate the effectiveness of our proposed model, we meticulously compile a comprehensive real-world dataset, CLAN, comprising more than 6k instances of social media posts alongside their respective normalized claims.
1 code implementation • 21 Oct 2023 • Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty
Additionally, we show that DaSLaM is not limited by the solver's capabilities as a function of scale; e. g., solver LMs with diverse sizes give significant performance improvement with our solver-agnostic decomposition technique.
Ranked #6 on
Overall - Test
on JEEBench
(using extra training data)
1 code implementation • 19 Oct 2023 • Shivani Kumar, Ramaneswaran S, Md Shad Akhtar, Tanmoy Chakraborty
Recognizing that emotional intelligence encompasses a comprehension of worldly knowledge, we propose an innovative approach that integrates commonsense information with dialogue context to facilitate a deeper understanding of emotions.
no code implementations • 8 Oct 2023 • Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, Eduard Hovy, Heng Ji, Filippo Menczer, Ruben Miguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention.
1 code implementation • 21 Sep 2023 • Sarah Masud, Ashutosh Bajpai, Tanmoy Chakraborty
Although pretrained large language models (PLMs) have achieved state-of-the-art on many natural language processing (NLP) tasks, they lack an understanding of subtle expressions of implicit hate speech.
no code implementations • 17 Sep 2023 • Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
Currently, these claims are manually verified by fact-checkers.
1 code implementation • 6 Sep 2023 • Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty
We propose a Persona-aware Generative Model for Code-mixed Generation, PARADOX, a novel Transformer-based encoder-decoder model that encodes an utterance conditioned on a user's persona and generates code-mixed texts without monolingual reference data.
no code implementations • 4 Sep 2023 • Aseem Srivastava, Tanya Gupta, Alison Cerezo, Sarah Peregrine, Lord, Md Shad Akhtar, Tanmoy Chakraborty
Online Mental Health Communities (OMHCs), such as Reddit, have witnessed a surge in popularity as go-to platforms for seeking information and support in managing mental health needs.
no code implementations • 14 Jul 2023 • Shivani Kumar, Sumit Bhatia, Milan Aggarwal, Tanmoy Chakraborty
To this end, we propose UNIT, a UNified dIalogue dataseT constructed from conversations of existing datasets for different dialogue tasks capturing the nuances for each of them.
no code implementations • 24 Jun 2023 • Shivani Kumar, Shubham Dudeja, Md Shad Akhtar, Tanmoy Chakraborty
In this paper, we explore the task called Instigator based Emotion Flip Reasoning (EFR), which aims to identify the instigator behind a speaker's emotion flip within a conversation.
no code implementations • 24 Jun 2023 • Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty
In this paper, we deal with a novel task of extreme abstractive text summarization (aka TL;DR generation) by leveraging multiple input modalities.
1 code implementation • 1 Jun 2023 • Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty
Our proposed solution HEN-mBERT is a modular, multilingual, mixture-of-experts model that enriches the linguistic subspace with latent endogenous signals from history, topology, and exemplars.
1 code implementation • 25 May 2023 • Shivam Sharma, Ramaneswaran S, Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty
In this work, we propose a novel task, MEMEX - given a meme and a related document, the aim is to mine the context that succinctly explains the background of the meme.
1 code implementation • 23 May 2023 • Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar
Due to the complex and multifaceted nature of hate speech, utilizing multiple forms of counter-narratives with varying intents may be advantageous in different circumstances.
1 code implementation • 10 May 2023 • Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur, Tanmoy Chakraborty
In-context learning (ICL) unfolds as large language models become capable of inferring test labels conditioned on a few labeled samples without any gradient update.
no code implementations • 27 Apr 2023 • Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty
The proposed project aims to examine the poverty situation of rural India for the period of 1990-2022 based on the quality of life and livelihood indicators.
no code implementations • 18 Apr 2023 • Shivani Kumar, Rishabh Gupta, Md Shad Akhtar, Tanmoy Chakraborty
We have evaluated various baselines on this dataset and benchmarked it with a new neural model, SPOT, which we introduce in this paper.
no code implementations • 4 Mar 2023 • Md Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty
However, most of these studies are limited to detecting hate speech only in English, neglecting the bulk of hateful content that is generated in other languages, particularly in low-resource languages.
no code implementations • 1 Mar 2023 • Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty
Current datasets and methods used for inline citation classification only use citation-marked sentences constraining the model to turn a blind eye to domain knowledge and neighboring contextual sentences.
1 code implementation • 5 Feb 2023 • Vasu Goel, Dhruv Sahnan, Subhabrata Dutta, Anil Bandhakavi, Tanmoy Chakraborty
We analyze more than 32 million posts from over 6. 8 million users across three popular online social networks to investigate the interrelations between hateful behavior, information dissemination, and polarised organization mediated by echo chambers.
no code implementations • 30 Jan 2023 • Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty
Virtual Mental Health Assistants (VMHAs) have become a prevalent method for receiving mental health counseling in the digital healthcare space.
1 code implementation • 28 Jan 2023 • Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty
In this paper, we propose a novel problem statement - a class-specific poison attack on graphs in which the attacker aims to misclassify specific nodes in the target class into a different class using node injection.
no code implementations • 26 Jan 2023 • Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
A common problem associated with meme comprehension lies in detecting the entities referenced and characterizing the role of each of these entities.
1 code implementation • 1 Dec 2022 • Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty
Here, we introduce a novel task - EXCLAIM, generating explanations for visual semantic role labeling in memes.
1 code implementation • 20 Nov 2022 • Shivani Kumar, Ishani Mondal, Md Shad Akhtar, Tanmoy Chakraborty
To this end, we explore the task of Sarcasm Explanation in Dialogues, which aims to unfold the hidden irony behind sarcastic utterances.
1 code implementation • 10 Oct 2022 • Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md Shad Akhtar, Tanmoy Chakraborty
The current vogue is to employ manual fact-checkers to efficiently classify and verify such data to combat this avalanche of claim-ridden misinformation.
no code implementations • 29 Sep 2022 • Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty
Existing self-supervised learning strategies are constrained to either a limited set of objectives or generic downstream tasks that predominantly target uni-modal applications.
1 code implementation • 15 Sep 2022 • Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar, Tanmoy Chakraborty
The surface-level signals expressed by a social-text itself may not be adequate for such tasks; therefore, recent methods attempted to incorporate other intrinsic signals such as user behavior and the underlying graph structure.
no code implementations • 16 Jun 2022 • Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty
Tweets are the most concise form of communication in online social media, wherein a single tweet has the potential to make or break the discourse of the conversation.
no code implementations • 8 Jun 2022 • Aseem Srivastava, Tharun Suresh, Sarah Peregrine, Lord, Md. Shad Akhtar, Tanmoy Chakraborty
A structured counseling conversation may contain discussions about symptoms, history of mental health issues, or the discovery of the patient's behavior.
1 code implementation • 8 Jun 2022 • Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md Shad Akhtar, Tanmoy Chakraborty
Curbing online hate speech has become the need of the hour; however, a blanket ban on such activities is infeasible for several geopolitical and cultural reasons.
1 code implementation • Findings (NAACL) 2022 • Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty
Finally, we show that DISARM is interpretable and comparatively more generalizable and that it can reduce the relative error rate for harmful target identification by up to 9 points absolute over several strong multimodal rivals.
1 code implementation • 9 May 2022 • Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty
One interesting finding is that many types of harmful memes are not really studied, e. g., such featuring self-harm and extremism, partly due to the lack of suitable datasets.
1 code implementation • 27 Apr 2022 • Ayan Sengupta, Tharun Suresh, Md Shad Akhtar, Tanmoy Chakraborty
Learning the semantics and morphology of code-mixed language remains a key challenge, due to scarcity of data and unavailability of robust and language-invariant representation learning technique.
no code implementations • 5 Apr 2022 • Siddharth Sadhwani, Nishant Grover, Md Akhtar, Tanmoy Chakraborty
A total of 2054 anchors' utterances in the dataset are marked as opinionated or non-opinionated.
1 code implementation • ACL 2022 • Subhabrata Dutta, Jeevesh Juneja, Dipankar Das, Tanmoy Chakraborty
Identifying argument components from unstructured texts and predicting the relationships expressed among them are two primary steps of argument mining.
no code implementations • 22 Mar 2022 • Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit Sheth
We collect a corpus of $150k$ items (posts and comments) annotated using the subreddit labels and transfer learning approaches.
1 code implementation • ACL 2022 • Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, Tanmoy Chakraborty
In this work, we study the discourse structure of sarcastic conversations and propose a novel task - Sarcasm Explanation in Dialogue (SED).
Ranked #1 on
Sarcasm Detection
on WITS
no code implementations • 26 Jan 2022 • Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty
While reducing toxicity on online platforms continues to be an active area of research, a systematic study of various biases and their mitigation strategies will help the research community produce robust and fair models.
1 code implementation • 20 Jan 2022 • Manjot Bedi, Tanisha Pandey, Sumit Bhatia, Tanmoy Chakraborty
We frame the problem as a binary classification task where all the references in a paper are to be classified as either baselines or non-baselines.
no code implementations • 4 Jan 2022 • Tanmoy Chakraborty, Sarah Masud
We discuss a series of our proposed solutions to limit the spread of hate speech on social media.
2 code implementations • 3 Jan 2022 • Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty
Detecting and labeling stance in social media text is strongly motivated by hate speech detection, poll prediction, engagement forecasting, and concerted propaganda detection.
1 code implementation • 9 Dec 2021 • Poorav Desai, Tanmoy Chakraborty, Md Shad Akhtar
In this paper, we propose a novel problem -- Multimodal Sarcasm Explanation (MuSE) -- given a multimodal sarcastic post containing an image and a caption, we aim to generate a natural language explanation to reveal the intended sarcasm.
1 code implementation • 12 Nov 2021 • Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, Tanmoy Chakraborty
We identify the requirement of such conversation and propose twelve domain-specific dialogue-act (DAC) labels.
1 code implementation • NeurIPS 2021 • Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty
The Transformer and its variants have been proven to be efficient sequence learners in many different domains.
no code implementations • 28 Sep 2021 • Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty
Euclidean word embedding models such as GloVe and Word2Vec have been shown to reflect human-like gender biases.
no code implementations • Findings (ACL) 2021 • Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty
In this work, we propose two novel problem formulations: detecting harmful memes and the social entities that these harmful memes target.
1 code implementation • Findings (EMNLP) 2021 • Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty
We focus on two tasks: (i)detecting harmful memes, and (ii)identifying the social entities they target.
1 code implementation • 10 Sep 2021 • Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty
Therefore, by identifying the outliers in the latent space, we can find the mislabeled samples.
no code implementations • 9 Sep 2021 • Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty
QUINT is the first of its kind that provides tremendous gain in terms of speed and space usage without compromising much on the accuracy of the downstream tasks.
1 code implementation • 19 Aug 2021 • Megha Sundriyal, Parantak Singh, Md Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty
To demarcate between a claim and a non-claim is arduous for both humans and machines, owing to latent linguistic variance between the two and the inadequacy of extensive definition-based formalization.
1 code implementation • 29 Jun 2021 • Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty
Specifically, the generative model learns to approximate the distribution of anomalous samples from the candidate set of graph snapshots, and the discriminative model detects whether the sampled snapshot is from the ground-truth or not.
1 code implementation • 13 Jun 2021 • Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty
Second, there is a measurable positive correlation between the novelty of the root content (with respect to a streaming external corpus) and the relative size of the resulting cascade.
1 code implementation • 30 May 2021 • Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md Shad Akhtar
In this paper, we propose HIT, a robust representation learning method for code-mixed texts.
1 code implementation • 20 May 2021 • Manjot Bedi, Shivani Kumar, Md Shad Akhtar, Tanmoy Chakraborty
In this work, we make two major contributions considering the above limitations: (1) we develop a Hindi-English code-mixed dataset, MaSaC, for the multi-modal sarcasm detection and humor classification in conversational dialog, which to our knowledge is the first dataset of its kind; (2) we propose MSH-COMICS, a novel attention-rich neural architecture for the utterance classification.
no code implementations • 20 May 2021 • Yash Kumar Atri, Shraman Pramanick, Vikram Goyal, Tanmoy Chakraborty
However, existing methods use short videos as the visual modality and short summary as the ground-truth, therefore, perform poorly on lengthy videos and long ground-truth summary.
1 code implementation • 12 Apr 2021 • Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty
In this work, we present ENDEMIC, a novel early detection model which leverages exogenous and endogenous signals related to tweets, while learning on limited labeled data.
no code implementations • 26 Mar 2021 • Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty
Many companies need to extract meaningful information (which may include thematic content as well as semantic polarity) out of such short texts to understand users' behaviour.
1 code implementation • 23 Mar 2021 • Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty
We evaluate MHA-MEME on the 'Memotion Analysis' dataset for all three sub-tasks - sentiment classification, affect classification, and affect class quantification.
no code implementations • 23 Mar 2021 • Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar, Tanmoy Chakraborty
Therefore, discovering the reasons (triggers) behind the speaker's emotion-flip during a conversation is essential to explain the emotion labels of individual utterances.
no code implementations • COLING 2022 • Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov
As a result, researchers started leveraging different modalities and combinations thereof to tackle online multimodal offensive content.
1 code implementation • 22 Feb 2021 • Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty
This leads to the problem of community deception which investigates the avenues of minimally rewiring nodes in a network so that a given target community maximally hides from a community detection algorithm.
1 code implementation • 17 Feb 2021 • William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a tsunami of fake news and misinformation on social media.
1 code implementation • 14 Feb 2021 • Viresh Gupta, Tanmoy Chakraborty
An important consideration in such applications is the robustness of the embedding algorithms against adversarial attacks, which can be examined by performing perturbation on the original network.
no code implementations • 31 Jan 2021 • Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, Swaprava Nath
Each class is implemented as a separate module that uses either its own curated knowledge-base or searches the web to obtain the correct information.
1 code implementation • EACL 2021 • Shreya Gupta, Parantak Singh, Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
We resolve the latter issue by annotating a Twitter dataset which aims at providing a testing ground on a large unstructured dataset.
no code implementations • SEMEVAL 2020 • Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Bj{\"o}rn Gamb{\"a}ck
The objective of this proposal is to bring the attention of the research community towards the automatic processing of Internet memes.
2 code implementations • 6 Nov 2020 • Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty
This is further exacerbated at the time of a pandemic.
1 code implementation • 6 Nov 2020 • Mohit Bhardwaj, Md Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty
In this paper, we present a novel hostility detection dataset in Hindi language.
no code implementations • 3 Nov 2020 • Anubhav Shrimal, Tanmoy Chakraborty
The aim of image captioning is to generate textual description of a given image.
1 code implementation • 9 Oct 2020 • Sarah Masud, Subhabrata Dutta, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty
Meanwhile, to predict the retweet dynamics on Twitter, we propose RETINA, a novel neural architecture that incorporates exogenous influence using scaled dot-product attention.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Alvin Dey, Tanya Chowdhury, Yash Kumar Atri, Tanmoy Chakraborty
Owing to no standard definition of the task, we encounter a plethora of datasets with varying levels of overlap and conflict between participating documents.
1 code implementation • 1 Sep 2020 • Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal
In this paper, we study how a metric for node influence in network growth models behaves over time as the network evolves.
no code implementations • SEMEVAL 2020 • Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Björn Gambäck, Tanmoy Chakraborty, Thamar Solorio, Amitava Das
In this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of Code-Mixed Tweets (SentiMix 2020).
1 code implementation • 9 Aug 2020 • Chhavi Sharma, Deepesh Bhageria, William Scott, Srinivas PYKL, Amitava Das, Tanmoy Chakraborty, Viswanath Pulabaigari, Bjorn Gamback
The objective of this proposal is to bring the attention of the research community towards the automatic processing of Internet memes.
1 code implementation • 2 Jun 2020 • Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty
We also propose a new bias evaluation metric - Gender-based Illicit Proximity Estimate (GIPE), which measures the extent of undue proximity in word vectors resulting from the presence of gender-based predilections.
no code implementations • 21 Apr 2020 • Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty
This problem is exacerbated in multi-document summarization tasks such as summarizing the popular opinion in threads present in community question answering (CQA) websites such as Yahoo!
Abstractive Text Summarization
Community Question Answering
+4
no code implementations • 16 Apr 2020 • Hiteshi Tandon, Prabhat Ranjan, Tanmoy Chakraborty, Vandana Suhag
It is supposed that the present prediction models will assist the government and medical personnel to be prepared for the upcoming conditions and have more readiness in healthcare systems.
1 code implementation • 13 Apr 2020 • Viresh Gupta, Aayush Aggarwal, Tanmoy Chakraborty
This often is done collectively in groups.
no code implementations • 29 Jan 2020 • Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath
Often, the user is also aware of the "aspect" to retrieve a relevant document.
1 code implementation • 20 Jan 2020 • Siddharth Yadav, Tanmoy Chakraborty
In this work, we introduce methods that use different kinds of multilingual and cross-lingual embeddings to efficiently transfer knowledge from monolingual text to code-mixed text for sentiment analysis of code-mixed text.
no code implementations • 18 Jan 2020 • Karan Dabas, Nishtha Madan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty
To preserve anonymity and obfuscate their identity on online platforms users may morph their text and portray themselves as a different gender or demographic.
1 code implementation • 12 Nov 2019 • Alvin Dey, Harsh Kumar Jain, Vikash Kumar Pandey, Tanmoy Chakraborty
One player is the answerer, and the other is a questioner.
1 code implementation • 27 Oct 2019 • Suryatej Reddy Vyalla, Vishaal Udandarao, Tanmoy Chakraborty
The dataset consists of 1. 1 million meme captions from 128 classes.
no code implementations • 10 Aug 2019 • Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty
Unlike previous studies which model a discussion in a static manner, in the present study, we model it as a time-varying process and solve two inter-related problems -- predict which user groups will get engaged with an ongoing discussion, and forecast the growth rate of a discussion in terms of the number of comments.
no code implementations • 9 Jul 2019 • Udit Arora, William Scott Paka, Tanmoy Chakraborty
Online social media platforms have made the world more connected than ever before, thereby making it easier for everyone to spread their content across a wide variety of audiences.
1 code implementation • 1 Jun 2019 • Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty
In this paper, we propose DiffQue, a novel system that maps this problem to a network-aided edge directionality prediction problem.
no code implementations • SEMEVAL 2019 • Viresh Gupta, Baani Leen Kaur Jolly, Ramneek Kaur, Tanmoy Chakraborty
In this paper, we present a news bias prediction system, which we developed as part of a SemEval 2019 task.
1 code implementation • 31 May 2019 • Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty
Online reviews play a crucial role in deciding the quality before purchasing any product.
no code implementations • 25 Mar 2019 • Mansi Goel, Ayush Agarwal, Deepak Thukral, Tanmoy Chakraborty
This paper presents Fiducia, a food review system involving a pipeline which processes restaurant-related reviews obtained from Zomato (India's largest restaurant search and discovery service).
1 code implementation • 8 Feb 2019 • Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty
The auxiliary and main GRUs send their states to a different fully connected layer, trained for the main task.
no code implementations • 7 Feb 2019 • Janu Verma, Srishti Gupta, Debdoot Mukherjee, Tanmoy Chakraborty
We propose a friend recommendation system (an application of link prediction) using edge embeddings on social networks.
1 code implementation • 28 Nov 2018 • Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti
A primary instance is also submitted to each auxiliary RNN, but their state sequences are gated and merged into a novel composite state sequence tailored to the primary inference task.
no code implementations • 7 Aug 2018 • Subhabrata Dutta, Tanmoy Chakraborty, Dipankar Das
Our proposed model outperformed the previous one in terms of domain independence; without using platform-dependent structural features, our hierarchical LSTM with word relevance attention mechanism achieved F1-scores of 71\% and 66\% respectively to predict discourse roles of comments in Reddit and Facebook discussions.
1 code implementation • 23 Jun 2018 • Hridoy Sankar Dutta, Aditya Chetan, Brihi Joshi, Tanmoy Chakraborty
Thus they become customers of blackmarket syndicates and engage in fake activities.
Social and Information Networks
no code implementations • 13 Feb 2018 • Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty
In this paper, we propose DyPerm, the first dynamic community detection method which optimizes a novel community scoring metric, called permanence.
Social and Information Networks Physics and Society
no code implementations • 29 Aug 2017 • Tanmoy Chakraborty
In this paper, We propose a novel algorithm, called EC3 that merges classification and clustering together in order to support both binary and multi-class classification.
no code implementations • 26 Jul 2017 • Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Young-Min Kim
MMGAN finds two manifolds representing the vector representations of real and fake images.
no code implementations • 5 Jul 2017 • Souvick Ghosh, Dipankar Das, Tanmoy Chakraborty
Analysis of these sentiments is one of the popular research areas of present day researchers.
2 code implementations • 5 Dec 2016 • Ankesh Anand, Tanmoy Chakraborty, Noseong Park
Online content publishers often use catchy headlines for their articles in order to attract users to their websites.
no code implementations • EMNLP 2016 • Tanmoy Chakraborty, Ramasuri Narayanam
Research accomplishment is usually measured by considering all citations with equal importance, thus ignoring the wide variety of purposes an article is being cited for.
no code implementations • 15 Apr 2014 • Tamal Ghosh, Tanmoy Chakraborty, Pranab K Dan
The supplier selection problem is based on electing the best supplier from a group of pre-specified candidates, is identified as a Multi Criteria Decision Making (MCDM), is proportionately significant in terms of qualitative and quantitative attributes.
no code implementations • 23 Jan 2014 • Tanmoy Chakraborty, Dipankar Das, Sivaji Bandyopadhyay
As a by-product of this experiment, we have started developing a standard lexicon in Bengali that serves as a productive Bengali linguistic thesaurus.