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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pkunlp-icler/amr_reverse_graph_linearization
공식 코드https://github.com/pkunlp-icler/cofftea
공식 코드Coarse-to-Fine Dual Encoders are Better Frame Identification Learners
https://github.com/pkunlp-icler/tsar
공식 코드A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
https://github.com/pkuserc/AAAI2021-MIUK-Relation-Extraction
공식 코드Multi-view Inference for Relation Extraction with Uncertain Knowledge
https://github.com/pl8787/Match-Ignition
공식 코드Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
https://github.com/platanus-hy/sememes_codriven_text_matching
공식 코드https://github.com/plead-project/ebd-artefacts
공식 코드A Methodology and Software Architecture to Support Explainability-by-Design
https://github.com/pliang279/sent_debias
공식 코드https://github.com/pliumath/dependencies
공식 코드Quantifying syntax similarity with a polynomial representation of dependency trees
https://github.com/pluslabnlp/degree
공식 코드DEGREE: A Data-Efficient Generation-Based Event Extraction Model
https://github.com/pnborchert/multirep
공식 코드https://github.com/poethan/AlphaMWE
공식 코드AlphaMWE: Construction of Multilingual Parallel Corpora with MWE Annotations
https://github.com/pootiet/augcse
공식 코드AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
https://github.com/portnlp/mlongrr
공식 코드Evaluating Multilingual Long-Context Models for Retrieval and Reasoning
https://github.com/portnlp/multilingual_rc_attachment
공식 코드Multilingual Relative Clause Attachment Ambiguity Resolution in Large Language Models
https://github.com/poseidon-workflows/llm_ad
공식 코드https://github.com/posuer/check-covid
공식 코드Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
https://github.com/potamides/unsupervised-metrics
공식 코드USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation
https://github.com/potsawee/selfcheckgpt
공식 코드SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
https://github.com/ppfliu/open-intent-discovery
공식 코드Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing
https://github.com/ppjmchen/ham
공식 코드Learning Point-Language Hierarchical Alignment for 3D Visual Grounding
https://github.com/prafulla77/discourse_tdg_aacl2022
공식 코드Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs
https://github.com/prastunlp/DualDec
공식 코드A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
https://github.com/pratogab/rae
공식 코드https://github.com/predlico/aragog
공식 코드https://github.com/priberam/cera-summ
공식 코드Supervising the Centroid Baseline for Extractive Multi-Document Summarization
https://github.com/primerai/primer-research
공식 코드https://github.com/princeton-nlp/Collie
공식 코드COLLIE: Systematic Construction of Constrained Text Generation Tasks
https://github.com/princeton-nlp/SimCSE
공식 코드https://github.com/princeton-nlp/c-sts
공식 코드https://github.com/princeton-nlp/datamux
공식 코드https://github.com/princeton-nlp/rationale-robustness
공식 코드https://github.com/princeton-nlp/shortcutgrammar
공식 코드https://github.com/princeton-vl/attach-juxtapose-parser
공식 코드Strongly Incremental Constituency Parsing with Graph Neural Networks
https://github.com/priya22/semantic-textual-relatedness
공식 코드What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.