Search Results for author: Jung-jae Kim

Found 14 papers, 4 papers with code

taochen at SemEval-2022 Task 5: Multimodal Multitask Learning and Ensemble Learning

no code implementations SemEval (NAACL) 2022 Chen Tao, Jung-jae Kim

We present a multi-modal deep learning system for the Multimedia Automatic Misogyny Identification (MAMI) challenge, a SemEval task of identifying and classifying misogynistic messages in online memes.

Ensemble Learning Multi-Task Learning

Unseen Entity Handling in Complex Question Answering over Knowledge Base via Language Generation

no code implementations Findings (EMNLP) 2021 Xin Huang, Jung-jae Kim, Bowei Zou

Complex question answering over knowledge base remains as a challenging task because it involves reasoning over multiple pieces of information, including intermediate entities/relations and other constraints.

Computational Efficiency Question Answering +1

Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection

1 code implementation7 May 2023 Kuicai Dong, Aixin Sun, Jung-jae Kim, XiaoLi Li

We formally define the research problem of tuple-level speculation detection and conduct a detailed data analysis on the LSOIE dataset which contains labels for speculative tuples.

Open Information Extraction Sentence +1

Open Information Extraction via Chunks

1 code implementation5 May 2023 Kuicai Dong, Aixin Sun, Jung-jae Kim, XiaoLi Li

Accordingly, we propose a simple BERT-based model for sentence chunking, and propose Chunk-OIE for tuple extraction on top of SaC.

Chunking Open Information Extraction +1

Syntactic Multi-view Learning for Open Information Extraction

1 code implementation5 Dec 2022 Kuicai Dong, Aixin Sun, Jung-jae Kim, XiaoLi Li

In this paper, we model both constituency and dependency trees into word-level graphs, and enable neural OpenIE to learn from the syntactic structures.

MULTI-VIEW LEARNING Open Information Extraction

Portmanteauing Features for Scene Text Recognition

no code implementations9 Nov 2022 Yew Lee Tan, Ernest Yu Kai Chew, Adams Wai-Kin Kong, Jung-jae Kim, Joo Hwee Lim

To generate the portmanteau feature, a non-linear input pipeline with a block matrix initialization is presented.

Scene Text Recognition

Pure Transformer with Integrated Experts for Scene Text Recognition

no code implementations9 Nov 2022 Yew Lee Tan, Adams Wai-Kin Kong, Jung-jae Kim

PTIE is a transformer model that can process multiple patch resolutions and decode in both the original and reverse character orders.

Scene Text Recognition

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