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20092023
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations · 21.9k across the 280 of their papers we have counts for

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52 papers · 1 filter

cs.CL2023★ 2 cited

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables

Wenting Zhao, Ye Liu, Yao Wan +3

Question answering on tabular data (a.k.a TableQA), which aims at generating answers to questions grounded on a provided table, has gained significant attention recently. Prior wor…

cs.CL2023★ 1 cited

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach

Yibo Wang, Wenting Zhao, Yao Wan +2

Named Entity Recognition (NER) aims to extract and classify entity mentions in the text into pre-defined types (e.g., organization or person name). Recently, many works have been p…

cs.CL2023★ 1 cited

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition

Yawen Yang, Xuming Hu, Fukun Ma +4

Named Entity Recognition (NER) is a well and widely studied task in natural language processing. Recently, the nested NER has attracted more attention since its practicality and di…

cs.CL2022★ 5 cited

A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference

Shu'ang Li, Xuming Hu, Li Lin +3

Natural Language Inference (NLI) is a growingly essential task in natural language understanding, which requires inferring the relationship between the sentence pairs (premise and…

cs.CL2022★ 1 cited

XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction

Yuwei Cao, William Groves, Tanay Kumar Saha +4

Temporal Expression Extraction (TEE) is essential for understanding time in natural language. It has applications in Natural Language Processing (NLP) tasks such as question answer…

cs.CL2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction

Shuliang Liu, Xuming Hu, Chenwei Zhang +3

Unsupervised relation extraction aims to extract the relationship between entities from natural language sentences without prior information on relational scope or distribution. Ex…