Presentation on Multimodal Coreference Resolution

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Provided a poster presentation on a attention-based model for coreference resolution in interactive shopping, providing the results of our exploration such as tracking objects over turns, predicting object counts, and contrasting conversations to tackle prediction errors by existing models and optimizing performances Our model exceeded State of Art Performance (Max F1 score 69.5) on Situated Interactive Multimodal Conversation (SIMMC) 2.0 dataset

View our poster here