arXiv:2101.09015
Unsupervised Technical Domain Terms Extraction using Term Extractor
원문 초록
Terminology extraction, also known as term extraction, is a subtask of information extraction. The goal of terminology extraction is to extract relevant words or phrases from a given corpus automatically. This paper focuses on the unsupervised automated domain term extraction method that considers chunking, preprocessing, and ranking domain-specific terms using relevance and cohesion functions for ICON 2020 shared task 2: TermTraction.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
Real-Time Execution of Action Chunking Flow Policies
Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis
토론
이 논문과 연결된 포럼 글이 아직 없습니다.