activity
20182023
most citedGSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement

40 citations · 81 across the 15 of their papers we have counts for

collaborators

17 papers

cs.CV2023★ 2 cited

ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules

Zhi-Qi Cheng, Qi Dai, Siyao Li +3

Charts are a powerful tool for visually conveying complex data, but their comprehension poses a challenge due to the diverse chart types and intricate components. Existing chart co…

cs.CL2023

Hierarchical Event Grounding

Jiefu Ou, Adithya Pratapa, Rishubh Gupta +1

Event grounding aims at linking mention references in text corpora to events from a knowledge base (KB). Previous work on this task focused primarily on linking to a single KB even…

cs.CV2022★ 40 cited

GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement

Zhi-Qi Cheng, Qi Dai, Siyao Li +2

Grounded Situation Recognition (GSR) aims to generate structured semantic summaries of images for "human-like" event understanding. Specifically, GSR task not only detects the sali…

cs.CL2022

Multilingual Event Linking to Wikidata

Adithya Pratapa, Rishubh Gupta, Teruko Mitamura

We present a task of multilingual linking of events to a knowledge base. We automatically compile a large-scale dataset for this task, comprising of 1.8M mentions across 44 languag…

cs.CL2021★ 1 cited

Cross-document Event Identity via Dense Annotation

Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa +4

In this paper, we study the identity of textual events from different documents. While the complex nature of event identity is previously studied (Hovy et al., 2013), the case of e…

cs.CL2021

Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models

Steven Y. Feng, Kevin Lu, Zhuofu Tao +4

We investigate the use of multimodal information contained in images as an effective method for enhancing the commonsense of Transformer models for text generation. We perform expe…