activity
20182023
most citedUniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

169 citations · 508 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 4 cited

GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis

Huaishao Luo, Lei Ji, Tianrui Li +2

In this paper, we focus on the imbalance issue, which is rarely studied in aspect term extraction and aspect sentiment classification when regarding them as sequence labeling tasks…

cs.CL2020

Tag and Correct: Question aware Open Information Extraction with Two-stage Decoding

Martin Kuo, Yaobo Liang, Lei Ji +4

Question Aware Open Information Extraction (Question aware Open IE) takes question and passage as inputs, outputting an answer tuple which contains a subject, a predicate, and one…

cs.CL2020★ 4 cited

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

Frank F. Xu, Lei Ji, Botian Shi +4

Watching instructional videos are often used to learn about procedures. Video captioning is one way of automatically collecting such knowledge. However, it provides only an indirec…

cs.CL2020★ 20 cited

XGPT: Cross-modal Generative Pre-Training for Image Captioning

Qiaolin Xia, Haoyang Huang, Nan Duan +7

While many BERT-based cross-modal pre-trained models produce excellent results on downstream understanding tasks like image-text retrieval and VQA, they cannot be applied to genera…

cs.CV2020★ 169 cited

UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation

Huaishao Luo, Lei Ji, Botian Shi +6

With the recent success of the pre-training technique for NLP and image-linguistic tasks, some video-linguistic pre-training works are gradually developed to improve video-text rel…