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IT 와 Social 이야기/NLP 자연어처리168

[KoreaUniv DSBA] 강필성 교수: 12: Question and Answering (질의응답) 1. Question and Answering 2. Squad: 100,000+ questions for machine comprehension of text 3. Know what you don't know: Unanswerable questions for SQuAD 4. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing 5. A Recurrent BERT-based Model for Question Generation & Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds 6. VQA: Visual Question Answerin.. 2021. 3. 11.
[KoreaUniv DSBA] 강필성 교수: 11: Document Summarization 1. [Paper Review] Single Document Summarization & Graph Attention Networks 2. [Paper Review] MatchSum (Extractive summarization as Text Matching) 3. [Paper Review] Text Summarization with Pretrained Encoder (BERTSum) 발표 슬라이드: https://drive.google.com/file/d/1wpEC... github.com/pilsung-kang/text-analytics 2021. 3. 11.
[KoreaUniv DSBA] 강필성 교수: 10-3: Sentiment Analysis - ML based Approach (Kor) Unstructured Data Analysis 10-3: Sentiment Analysis - ML based Approach - Regression-based sentiment analysis - Semi-supervised learning for sentiment lexicon identification - Recursive Neural Tensor Network (RNTN) https://github.com/pilsung-kang/text-... 2021. 3. 10.
[KoreaUniv DSBA] 강필성 교수: 10-2: Sentiment Analysis - Lexicon-based Approach (어휘 기반 감성분석) Unstructured Data Analysis 10-2: Sentiment Analysis - Lexicon-based Approach - Manually annotated sentiment lexicons - External dictionary-based sentiment analysis - Corpus-dependent sentimental lexicons https://github.com/pilsung-kang/text-... 2021. 3. 10.