Papers by Yuyang Nie

3 papers
Named Entity Recognition for Social Media Texts with Semantic Augmentation (2020.emnlp-main)

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Challenge: Existing approaches for named entity recognition suffer from data sparsity problems when conducted on short and informal texts.
Approach: They propose a neural-based approach to named entity recognition for social media texts . they obtain augmented semantic information from a large-scale corpus and encode it .
Outcome: The proposed approach outperforms existing approaches on three social media datasets.
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information (2020.findings-emnlp)

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Challenge: Existing studies have shown that named entity recognition (NER) is effective in encoding and aggregating syntactic information, but they lack the appropriate knowledge to model such properties.
Approach: They propose to leverage syntactic information by leveraging attentive ensembles to model NER . they propose key-value memory networks, syntax attention and gate mechanism for encoding, weighting and aggregating syntaktic information.
Outcome: The proposed model outperforms previous studies on six English and Chinese benchmark datasets.
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text (2022.findings-naacl)

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Challenge: Existing approaches to few-shot relation classification have limited labeled examples . a prototype encoder from definition and an instance is needed to learn relation instance classification .
Approach: They propose to learn a prototype encoder from relation definition in a way that is useful for relation instance classification.
Outcome: The proposed encoder outperforms state-of-the-art methods on several datasets.

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