Papers with MMC

3 papers
Multilingual Coreference Resolution in Multiparty Dialogue (2023.tacl-1)

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Challenge: Existing datasets for entity coreference resolution are limited to English and other languages are rare.
Approach: They propose to use TV transcripts to create multilingual multiparty coreference datasets that leverage existing subtitles in Chinese and Farsi.
Outcome: The proposed dataset re-annotates for coreference on TV transcripts and then leverages existing subtitle translations to create a multilingual corpus.
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning (2024.naacl-long)

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Challenge: Existing large language models have limited ability to perform tasks effectively.
Approach: They propose a large-scale multimodal chart instruction dataset with 600k instances supporting diverse tasks and chart types.
Outcome: The proposed LMM achieves state-of-the-art performance on existing chart QA benchmarks.
Video-aided Unsupervised Grammar Induction (2021.naacl-main)

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Challenge: Existing methods of multi-modal grammar induction focus on grammar inducing from text-image pairs, but videos provide even richer information, such as static objects and actions.
Approach: They propose a video-aided grammar induction model which learns a constituency parser from unlabeled text and its corresponding video.
Outcome: The proposed model outperforms existing systems on three benchmarks.

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