Prashanth Vijayaraghavan

According to our database1, Prashanth Vijayaraghavan authored at least 20 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist's Mental Representations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Perspective-Taking to Reduce Affective Polarization on Social Media.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021
Interpretable Multi-Modal Hate Speech Detection.
CoRR, 2021

Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Modeling Social Media Narratives about Caste-related News Stories.
Proceedings of Text2Story, 2021

Lifelong Knowledge-Enriched Social Event Representation Learning.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Video SemNet: Memory-Augmented Video Semantic Network.
CoRR, 2020

DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
Learning Personas from Dialogue with Attentive Memory Networks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Auris: creating affective virtual spaces from music.
Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, 2017

TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter.
Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Mapping Twitter Conversation Landscapes.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

DeepSpace: Mood-Based Image Texture Generation for Virtual Reality from Music.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Automatic Detection and Categorization of Election-Related Tweets.
Proceedings of the Tenth International Conference on Web and Social Media, 2016


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