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Found 5 papers, 2 papers with code
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning
Automating figure caption generation helps move model understandings of scientific documents beyond text and will help authors write informative captions that facilitate communicating scientific findings.
TextLearner at SemEval-2020 Task 10: A Contextualized Ranking System in Solving Emphasis Selection in Text
This paper describes the emphasis selection system of the team TextLearner for SemEval 2020 Task 10: Emphasis Selection For Written Text in Visual Media.
Image Caption Generation for News Articles
In this paper, we address the task of news-image captioning, which generates a description of an image given the image and its article body as input.
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020
Video-guided machine translation as one of multimodal neural machine translation tasks targeting on generating high-quality text translation by tangibly engaging both video and text.
TokyoTech\_NLP at SemEval-2019 Task 3: Emotion-related Symbols in Emotion Detection
This paper presents our contextual emotion detection system in approaching the SemEval2019 shared task 3: EmoContext: Contextual Emotion Detection in Text.
