Ramit Sawhney

Orcid: 0000-0002-2648-9225

According to our database1, Ramit Sawhney authored at least 73 papers between 2018 and 2023.

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Bibliography

2023
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

HyperSteg: Hyperbolic Learning for Deep Steganography.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application.
CoRR, 2022

The Impact of Differential Privacy on Group Disparity Mitigation.
CoRR, 2022

UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Towards Suicide Ideation Detection Through Online Conversational Context.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CIAug: Equipping Interpolative Augmentation with Curriculum Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PISA: PoIncaré Saliency-Aware Interpolative Augmentation.
Proceedings of the Interspeech 2022, 2022

THINK: Temporal Hypergraph Hyperbolic Network.
Proceedings of the IEEE International Conference on Data Mining, 2022

Intermix: An Interference-Based Data Augmentation and Regularization Technique for Automatic Deep Sound Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

ADIMA: Abuse Detection In Multilingual Audio.
Proceedings of the IEEE International Conference on Acoustics, 2022

Tweet Based Reach Aware Temporal Attention Network for NFT Valuation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Orthogonal Multi-Manifold Enriching of Directed Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

DMix: Adaptive Distance-aware Interpolative Mixup.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

A Risk-Averse Mechanism for Suicidality Assessment on Social Media.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

HYPHEN: Hyperbolic Hawkes Attention For Text Streams.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Robust suicide risk assessment on social media via deep adversarial learning.
J. Am. Medical Informatics Assoc., 2021

Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Ordinal Suicide Ideation Detection on Social Media.
Proceedings of the WSDM '21, 2021

Modeling financial uncertainty with multivariate temporal entropy-based curriculums.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Hyperbolic Online Time Stream Modeling.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Quantitative Day Trading from Natural Language using Reinforcement Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TEC: A Time Evolving Contextual Graph Model for Speaker State Analysis in Political Debates.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Towards Emotion- and Time-Aware Classification of Tweets to Assist Human Moderation for Suicide Prevention.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Meta-Learning for Low-Resource Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

HypMix: Hyperbolic Interpolative Data Augmentation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

FAST: Financial News and Tweet Based Time Aware Network for Stock Trading.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms.
CoRR, 2020

Multimodal Multi-Task Financial Risk Forecasting.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Risk Forecasting from Earnings Calls Acoustics and Network Correlations.
Proceedings of the Interspeech 2020, 2020

SpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations.
Proceedings of the Interspeech 2020, 2020

#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Mixup Multi-Attention Multi-Tasking Model for Early-Stage Leukemia Identification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation.
Proceedings of the Advances in Information Retrieval, 2020

MEMIS: Multimodal Emergency Management Information System.
Proceedings of the Advances in Information Retrieval, 2020

GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Augmenting NLP models using Latent Feature Interpolations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

BMGC 2020 Grand Challenge: Multi-Aspect Analysis of the MeToo Movement on Twitter.
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Leveraging BERT with Mixup for Sentence Classification (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Crisis-DIAS: Towards Multimodal Damage Analysis - Deployment, Challenges and Assessment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Beyond Hostile Linguistic Cues: The Gravity of Online Milieu for Hate Speech Detection in Arabic.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

#suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Investigating Political Herd Mentality: A Community Sentiment Based Approach.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

A Firefly Algorithm Based Wrapper-Penalty Feature Selection Method for Cancer Diagnosis.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

A Comparative Study of Transfer Functions in Binary Evolutionary Algorithms for Single Objective Optimization.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

A Computational Approach to Feature Extraction for Identification of Suicidal Ideation in Tweets.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

Detecting Offensive Tweets in Hindi-English Code-Switched Language.
Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media, 2018

Did you offend me? Classification of Offensive Tweets in Hinglish Language.
Proceedings of the 2nd Workshop on Abusive Language Online, 2018


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