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20202022
most citedPrototypical Representation Learning for Relation Extraction

38 citations · 47 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CL2022

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking

Shen Huang, Yuchen Zhai, Xinwei Long +4

Speech Entity Linking aims to recognize and disambiguate named entities in spoken languages. Conventional methods suffer gravely from the unfettered speech styles and the noisy tra…

cs.CL20229 cited

Domain-Specific NER via Retrieving Correlated Samples

Xin Zhang, Yong Jiang, Xiaobin Wang +4

Successful Machine Learning based Named Entity Recognition models could fail on texts from some special domains, for instance, Chinese addresses and e-commerce titles, where requir…

cs.CL2022

Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations

Xin Zhang, Guangwei Xu, Yueheng Sun +3

Recent works of opinion expression identification (OEI) rely heavily on the quality and scale of the manually-constructed training corpus, which could be extremely difficult to sat…

cs.CL2022

Parallel Instance Query Network for Named Entity Recognition

Yongliang Shen, Xiaobin Wang, Zeqi Tan +5

Named entity recognition (NER) is a fundamental task in natural language processing. Recent works treat named entity recognition as a reading comprehension task, constructing type-…

cs.CL2022

AISHELL-NER: Named Entity Recognition from Chinese Speech

Boli Chen, Guangwei Xu, Xiaobin Wang +3

Named Entity Recognition (NER) from speech is among Spoken Language Understanding (SLU) tasks, aiming to extract semantic information from the speech signal. NER from speech is usu…

cs.CL2021

Few-NERD: A Few-Shot Named Entity Recognition Dataset

Ning Ding, Guangwei Xu, Yulin Chen +5

Recently, considerable literature has grown up around the theme of few-shot named entity recognition (NER), but little published benchmark data specifically focused on the practica…