저희 NLP&AI 연구실에서는 다음과 같이 다양한 자연어 처리의 폭넓은 분야에 대해 연구하고 있습니다.

Information Extraction (IE)

Named Entity Recognition (NER), Relation Extraction (RE), Entity Linking (ET), etc.

Dialogue System

Dialogue State Tracking (DST), Conversational Response Selection, Task-Oriented Dialogue (TOD), Persona-based Chat, etc.

Question-Answering (QA)

Open-Domain QA (ODQA), Long-form QA, Machine Reading Comprehension (MRC), Question Generation (QG), etc.

Information Retrieval (IR)

Term-based Retrieval, Dense Retrieval, Document (Re)Ranking, etc.

Neural Machine Translation (NMT)

Grammatical Error Correction (GEC), Quality Estimation (QE), Automatic Post-Editing (APE), etc.

Knowledge/Commonsense

Knowledge Base/Graph Completion (KBC/KGC), Knowledge Base Population (KBP), Commonsense Reasoning, etc.

Social NLP

Fake News (Hate Speech) Detection, Bias Identification and Removal, etc.

Large Language Model (LLM)

Probing, Korean LLM, etc.

연구실 그래픽 카드 자원