Papers by Mohammad Soleymani

3 papers
Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction (2020.coling-main)

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Challenge: Existing methods for redacting offensive comments into non-offensive ones are inadequate to detect hateful content on social media platforms.
Approach: They propose a method for transforming offensive comments into non-offensive ones using a Retrieve, Generate and Edit unsupervised style transfer pipeline.
Outcome: The proposed method outperforms existing models on automatic metrics and human evaluations and consistently performs well on all automatic evaluation metrics.
Speaker Turn Modeling for Dialogue Act Classification (2021.findings-emnlp)

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Challenge: Existing approaches to DA classification model utterances without incorporating the turn changes among speakers throughout the dialogue, thus treating it no different than non-interactive written text.
Approach: They propose to integrate the turn changes in conversations among speakers when modeling DAs by learning conversation-invariant speaker turn embeddings to represent speaker turns in a conversation.
Outcome: The proposed model captures semantics from the dialogue content while accounting for different speaker turns in a conversation.
Multimodal Phased Transformer for Sentiment Analysis (2021.emnlp-main)

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Challenge: Existing methods to model multimodal sentiment analysis are limited due to their complexity and memory footprint.
Approach: They propose a multimodal Sparse Phased Transformer to reduce self-attention complexity and memory footprint.
Outcome: The proposed method achieves comparable or superior performance with a 90% reduction in the number of parameters.

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