https://github.com/Amazing-J/structural-transformer
공식 코드Modeling Graph Structure in Transformer for Better AMR-to-Text Generation
Papers with Code 아카이브
Abstract Meaning Representation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Emvista/Triple_AMR_Parser
공식 코드https://github.com/Heidelberg-NLP/MFscore
공식 코드Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR
https://github.com/Heidelberg-NLP/amr-metric-suite
공식 코드https://github.com/Heidelberg-NLP/simple-xamr
공식 코드Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing
https://github.com/IBM/kbqa-relation-linking
공식 코드Leveraging Semantic Parsing for Relation Linking over Knowledge Bases
https://github.com/IBM/transition-amr-parser
공식 코드https://github.com/LCS2-IIITD/Hyphen
공식 코드https://github.com/U-Alberta/AMRS3
공식 코드Semantic Graphs for Syntactic Simplification: A Revisit from the Age of LLM
https://github.com/UKPLab/emnlp2019-dualgraph
공식 코드Enhancing AMR-to-Text Generation with Dual Graph Representations
https://github.com/USArmyResearchLab/ARL-SCOUT
공식 코드Human-Robot Dialogue Annotation for Multi-Modal Common Ground
https://github.com/ablodge/leamr
공식 코드https://github.com/acnlplab/umr-text-gen
공식 코드https://github.com/ahmeshaf/gpt_coref
공식 코드https://github.com/ayyyq/tara
공식 코드An AMR-based Link Prediction Approach for Document-level Event Argument Extraction
https://github.com/babelscape/amr-alignment
공식 코드Cross-lingual AMR Aligner: Paying Attention to Cross-Attention
https://github.com/bernard-yang/simamr
공식 코드https://github.com/causalnlp/amr_llm
공식 코드Analyzing the Role of Semantic Representations in the Era of Large Language Models
https://github.com/chanind/amr-logic-converter
공식 코드https://github.com/chanind/amr-social-chemistry-reasoner
공식 코드https://github.com/chanind/tensor-theorem-prover
공식 코드https://github.com/chenllliang/atp
공식 코드ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
https://github.com/emorynlp/intensionalizing-amr
공식 코드Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope
https://github.com/emorynlp/streamside
공식 코드https://github.com/flipz357/S3BERT
공식 코드https://github.com/freesunshine0316/semantic-nmt
공식 코드https://github.com/goodbai-nlp/amr-domainadaptation
공식 코드https://github.com/goodbai-nlp/sem-plm
공식 코드https://github.com/headacheboy/cross-lingual-amr-parsing
공식 코드Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing
https://github.com/ibm/graph_ensemble_learning
공식 코드https://github.com/janmbuys/DeepDeepParser
공식 코드https://github.com/jcyk/AMR-parser
공식 코드https://github.com/jcyk/gtos
공식 코드https://github.com/jcyk/mse-amr
공식 코드Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
https://github.com/jgroschwitz/grapes
공식 코드AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
https://github.com/mdtux89/OpenNMT-py
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.