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20212023
most citedKoLA: Carefully Benchmarking World Knowledge of Large Language Models

24 citations · 34 across the 11 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CL2021

OpenQA: Hybrid QA System Relying on Structured Knowledge Base as well as Non-structured Data

Gaochen Wu, Bin Xu, Yuxin Qin +3

Search engines based on keyword retrieval can no longer adapt to the way of information acquisition in the era of intelligent Internet of Things due to the return of keyword relate…

cs.CL2021

PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attention

Gaochen Wu, Bin Xu, Yuxin Qin +4

Although there are a small number of work to conduct patent research by building knowledge graph, but without constructing patent knowledge graph using patent documents and combini…

cs.CL2021★ 1 cited

Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking

Gaochen Wu, Bin Xu, Yuxin Qin +4

Extractive Reading Comprehension (ERC) has made tremendous advances enabled by the availability of large-scale high-quality ERC training data. Despite of such rapid progress and wi…

cs.CL2021★ 1 cited

Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

Meihan Tong, Shuai Wang, Bin Xu +4

Few-shot Named Entity Recognition (NER) exploits only a handful of annotations to identify and classify named entity mentions. Prototypical network shows superior performance on fe…

cs.CL2021★ 1 cited

A Multilingual Modeling Method for Span-Extraction Reading Comprehension

Gaochen Wu, Bin Xu, Dejie Chang +1

Span-extraction reading comprehension models have made tremendous advances enabled by the availability of large-scale, high-quality training datasets. Despite such rapid progress a…

cs.CL2021★ 5 cited

DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction

Dejie Chang, Mosha Chen, Chaozhen Liu +9

Knowledge Graph has been proven effective in modeling structured information and conceptual knowledge, especially in the medical domain. However, the lack of high-quality annotated…