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gazelle93/README.md

Hi there 👋 Welcome to my page!

My name is Mingyou Sung. I'm an NLP researcher & ML developer in Montreal, Quebec, Canada.

Here's some info about me!

  • Languages: English (Professional Working Proficiency), Korean (Native)
  • Programming Languages & frameworks: Python, PyTorch, HuggingFace, Scikit-Learn, NLTK, Regular Expression, GATE (General Architecture for Text Engineering), LLM, RAG, Information Retrieval, Unix/Linux, Git, GCP, AWS (Sagemaker, S3, EC2)

Education 🏫

Research Experience ⭐

  • Assessing LLMs' Ability to Navigate Cultural Knowledge Conflicts (Conference on Computational Cultural Context in NLP (C3NLP), 2024 - Non-archival)

    • Developed the QARV benchmark, a dataset of 671 culturally sensitive questions, to evaluate large language models' ability to navigate knowledge conflicts between U.S. and Korean perspectives.

  • Relation Extraction Tasks (Studies on diverse input representations and classifiers on relation extraction datasets)

    • SemEval-2010 Task 8 (Multi-Way Classification of Semantic Relations Between Pairs of Nominals)
    • TACRED (Text Analysis Conference Relation Extraction Dataset)
    • Re-TACRED (Revised Text Analysis Conference Relation Extraction Dataset)
    • Biocreative VII Track 1 (Text mining drug and chemical-protein interactions (DrugProt))

  • Counterfactual Detection (CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs)

    • SemEval-2020 Task 5 (Modelling Causal Reasoning in Language: Detecting Counterfactuals) - Subtask 2 (Detecting the span of antecedents and consequents)

Project Experience ☕

  • Product Category Classification & Similar Product Identification

    • Built an automatic categorization system using the title and description of e-commerce products cooperation with KIES (Korea Information Engineering Services) using Word2vec and TF-IDF

  • Offering Wine Information and Recommendations on Android and Web Applications

    • Final year project at Hongik University (Won the excellent prize and was selected as a creditable work)
    • Developed an Android and Web application that offers wine label recognition using CNN, wine recommendation via chatbot using Regex, and a function to search for various information about wines using AWS

Addiational Activities 📝

Teaching Assistant

  • Course: COMP 479 - Information Retrieval and Web Search
  • Tutored undergrads to minimize the gap between the knowledge and implementation on several information retrieval techniques such as BM25, TF-IDF

Popular repositories Loading

  1. Transformer-Various-Positional-Encoding Transformer-Various-Positional-Encoding Public

    This project aims to implement the Transformer Encoder blocks using various Positional Encoding methods.

    Python 24 2

  2. Multiclass-Focal-loss-pytorch Multiclass-Focal-loss-pytorch Public

    This is an implementation of multi-class focal loss in PyTorch.

    Python 10 1

  3. Attention-Various-Positional-Encoding Attention-Various-Positional-Encoding Public

    This project aims to implement the Scaled-Dot-Product Attention layer and the Multi-Head Attention layer using various Positional Encoding methods.

    Python 5

  4. charCNN charCNN Public

    This project aims to implement the charCNN word embedding method that is leveraged in ELMo and characterBERT.

    Python 3

  5. Depedency-Graph-Attention-Networks Depedency-Graph-Attention-Networks Public

    This project aims to develop dependency-graph-attention-networks in order to represent the dependency relations of each word from given text utilizing masked self-attention. The output of the depen…

    Python 1

  6. Span-Detection-Using-LSTMs Span-Detection-Using-LSTMs Public

    This project aims to implement the LSTM and Bidirectional LSTM for span detection from given text.

    Python 1