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Found 32 papers, 0 papers with code
Overview of the ROCLING 2022 Shared Task for Chinese Healthcare Named Entity Recognition
This paper describes the ROCLING-2022 shared task for Chinese healthcare named entity recognition, including task description, data preparation, performance metrics, and evaluation results.
Chinese Named Entity Recognition
named-entity-recognition
+1
Multi-Label Classification of Chinese Humor Texts Using Hypergraph Attention Networks
We use Hypergraph Attention Networks (HyperGAT) to recognize multiple labels of Chinese humor texts.
Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions
Due to the lack of publicly available datasets for multi-label classification of Chinese medical questions, we crawled questions from medical question/answer forums and manually annotated them using eight predefined classes: persons and organizations, symptom, cause, examination, disease, information, ingredient, and treatment.
Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications
We propose the mixed-attention-based Generative Adversarial Network (named maGAN), and apply it for citation intent classification in scientific publication.
NCU-NLP at ROCLING-2021 Shared Task: Using MacBERT Transformers for Dimensional Sentiment Analysis
On ROCLING-2021 test set, our used MacBERT model achieves 0. 611 of MAE and 0. 904 of r in the valence dimensions; and 0. 938 of MAE and 0. 549 of r in the arousal dimension.
NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers
This study describes the model design of the NCUEE-NLP system for the MEDIQA challenge at the BioNLP 2021 workshop.
Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation
It’s difficult to optimize individual label performance of multi-label text classification, especially in those imbalanced data containing long-tailed labels.
NCUEE-NLP@SMM4H’22: Classification of Self-reported Chronic Stress on Twitter Using Ensemble Pre-trained Transformer Models
This study describes our proposed system design for the SMM4H 2022 Task 8.
NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model
This study describes the model design of the NCUEE-NLP system for the Chinese track of the SemEval-2022 MultiCoNER task.
Chinese Named Entity Recognition
named-entity-recognition
+2
Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees
This study describes our proposed model design for the SMM4H 2020 Task 1.
Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers
This study describes our proposed model design for SMM4H 2021 shared tasks.
NCUEE at MEDIQA 2019: Medical Text Inference Using Ensemble BERT-BiLSTM-Attention Model
This study describes the model design of the NCUEE system for the MEDIQA challenge at the ACL-BioNLP 2019 workshop.
Multilingual Short Text Responses Clustering for Mobile Educational Activities: a Preliminary Exploration
Text clustering is a powerful technique to detect topics from document corpora, so as to provide information browsing, analysis, and organization.
IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis
This paper presents the IJCNLP 2017 shared task for Chinese grammatical error diagnosis (CGED) which seeks to identify grammatical error types and their range of occurrence within sentences written by learners of Chinese as foreign language.
IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases
This paper presents the IJCNLP 2017 shared task on Dimensional Sentiment Analysis for Chinese Phrases (DSAP) which seeks to identify a real-value sentiment score of Chinese single words and multi-word phrases in the both valence and arousal dimensions.
The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields
This study describes the design of the NTNU system for the ScienceIE task at the SemEval 2017 workshop.
Overview of NLP-TEA 2016 Shared Task for Chinese Grammatical Error Diagnosis
This paper presents the NLP-TEA 2016 shared task for Chinese grammatical error diagnosis which seeks to identify grammatical error types and their range of occurrence within sentences written by learners of Chinese as foreign language.
NTUSocialRec: An Evaluation Dataset Constructed from Microblogs for Recommendation Applications in Social Networks
This paper proposes a method to construct an evaluation dataset from microblogs for the development of recommendation systems.
