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Joint Multilingual Sentence Representations
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
An empirical evaluation of AMR parsing for legal documents
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation
Abstract Meaning Representation for Multi-Document Summarization
Toward Abstractive Summarization Using Semantic Representations
Factorising AMR generation through syntax
ConvAMR: Abstract meaning representation parsing for legal document
Transition-Based Generation from Abstract Meaning Representations
Text Summarization using Abstract Meaning Representation
Robust Incremental Neural Semantic Graph Parsing
Cross-lingual Abstract Meaning Representation Parsing
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
An Incremental Parser for Abstract Meaning Representation
Supervised Syntax-based Alignment between English Sentences and Abstract Meaning Representation Graphs
Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)
Parser for Abstract Meaning Representation using Learning to Search
Robust Subgraph Generation Improves Abstract Meaning Representation Parsing
Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.