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20172023
most citedLanguage Models with Image Descriptors are Strong Few-Shot Video-Language Learners

52 citations · 208 across the 39 of their papers we have counts for

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Showing 2021 · cs.CLShow all

14 papers · 2 filters

cs.CL2021★ 1 cited

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding

Revanth Gangi Reddy, Xilin Rui, Manling Li +9

Recently, there has been an increasing interest in building question answering (QA) models that reason across multiple modalities, such as text and images. However, QA using images…

cs.CL2021★ 7 cited

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge

Revanth Gangi Reddy, Sai Chetan, Zhenhailong Wang +8

Claim detection and verification are crucial for news understanding and have emerged as promising technologies for mitigating misinformation and disinformation in the news. However…

cs.CL2021★ 1 cited

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

Yu Meng, Yunyi Zhang, Jiaxin Huang +4

We study the problem of training named entity recognition (NER) models using only distantly-labeled data, which can be automatically obtained by matching entity mentions in the raw…

cs.CL2021★ 1 cited

BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks

Tuan Lai, Heng Ji, ChengXiang Zhai

Biomedical entity linking is the task of linking entity mentions in a biomedical document to referent entities in a knowledge base. Recently, many BERT-based models have been intro…

cs.CL2021

Corpus-based Open-Domain Event Type Induction

Jiaming Shen, Yunyi Zhang, Heng Ji +1

Traditional event extraction methods require predefined event types and their corresponding annotations to learn event extractors. These prerequisites are often hard to be satisfie…

cs.CL2021

Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation

Chenkai Sun, Weijiang Li, Jinfeng Xiao +3

Automated knowledge discovery from trending chemical literature is essential for more efficient biomedical research. How to extract detailed knowledge about chemical reactions from…