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@IKMLab

Intelligent Knowledge Management Laboratory

Our work ranges from Natural Language Processing, Text Mining to Machine Learning

This is IKMLab, a NLP reseach team led by Prof. Hung-Yu Kao.

Publications

Conference Title Links
ACL'19 Probing Neural Network Understanding of Natural Language Arguments Paper Code
PAN @ CLEF 2020 Shared Tasks Profiling Spreaders of Disinformation on Twitter Paper Code
ACML'20 PSForest: Improving Deep Forest via Feature Pooling and Error Screening Paper Code
IEEE AIKE'20 Knowledge Distillation on Extractive Summarization Paper Code
ACL'21 Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering Paper Code
IEEE AIKE'22 Few-shot Text Classification with Saliency-equivalent Concatenation Paper Code
AACL'22 Unsupervised Single Document Abstractive Summarization using Semantic Units Paper Code
EMNLP'22 R-AT: Regularized Adversarial Training for Natural Language Understanding Paper Code
IEEE Access'23 LiDA: Language-independent Data Augmentation for Text Classification Paper Code

Popular repositories Loading

  1. course_material course_material Public

    上課教材的大集合!!!

    Jupyter Notebook 91 42

  2. NTHU_Natural_Language_Processing NTHU_Natural_Language_Processing Public

    Jupyter Notebook 73 21

  3. arct2 arct2 Public

    Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"

    Python 53 12

  4. NCKU-AICUP2023-baseline NCKU-AICUP2023-baseline Public

    Code for the AICUP2023 competition "Meet the truth: Fact Extraction and Verification for Disinformation".

    Jupyter Notebook 22 8

  5. sentence_classification_tutorial sentence_classification_tutorial Public

    Overview of sentence classification on the Toxic Comment Classification Challenge

    Jupyter Notebook 14

  6. Simple-GANs Simple-GANs Public

    GANs for generating digital distribution

    Python 12 2

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