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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amirveyseh/AAAI-21-SDU-shared-task-1-AI
공식 코드What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
https://github.com/amirveyseh/AAAI-21-SDU-shared-task-2-AD
공식 코드What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
https://github.com/amirveyseh/definition_extraction
공식 코드A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
https://github.com/amitkumarj441/cikm2023_subspaceembedding
공식 코드Lightweight Adaptation of Neural Language Models via Subspace Embedding
https://github.com/amr-keleg/aldi
공식 코드https://github.com/amr-keleg/aldi-and-iaa
공식 코드https://github.com/amurtadha/bert-asc
공식 코드BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis
https://github.com/amzn/trans-encoder
공식 코드Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
https://github.com/anaezquerro/incpar
공식 코드On the Challenges of Fully Incremental Neural Dependency Parsing
https://github.com/andreeaiana/nase
공식 코드https://github.com/andychisholm/mimo
공식 코드https://github.com/anindita127/complextext2animation
공식 코드Synthesis of Compositional Animations from Textual Descriptions
https://github.com/anindyasdas/selfsupervisedimagetext
공식 코드https://github.com/ankitapasad/layerwise-analysis
공식 코드https://github.com/annabeth-h/styled-and-diverse-image-captioning
공식 코드Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts
https://github.com/ant-research/structuredlm_rtdt
공식 코드https://github.com/antct/cil
공식 코드CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
https://github.com/anthonyhu/tumblr-emotions
공식 코드Multimodal Sentiment Analysis To Explore the Structure of Emotions
https://github.com/anthonysicilia/change-that-matters-acl2022
공식 코드The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error
https://github.com/antot/neural_vs_-phrasebased_smt_eacl17
공식 코드https://github.com/anusfoil/symrep
공식 코드Symbolic Music Representations for Classification Tasks: A Systematic Evaluation
https://github.com/aolius/semi-fst
공식 코드Semi-Supervised Formality Style Transfer with Consistency Training
https://github.com/aone-nlp/fsre-sacon
공식 코드Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
https://github.com/aonotas/interpretable-adv
공식 코드Interpretable Adversarial Perturbation in Input Embedding Space for Text
https://github.com/aonotas/interpretable_adv
공식 코드Interpretable Adversarial Perturbation in Input Embedding Space for Text
https://github.com/apcl-research/funcom-useloss
공식 코드Semantic Similarity Loss for Neural Source Code Summarization
https://github.com/apcl-research/jam-cgpt
공식 코드https://github.com/apple/ml-codeswitching-translations
공식 코드Towards Real-World Streaming Speech Translation for Code-Switched Speech
https://github.com/archanray/approximate_similarities
공식 코드https://github.com/ariefpurnamamuharram/IF5200
공식 코드Automated Chest X-Ray Report Generator Using Multi-Model Deep Learning Approach
https://github.com/arimuti/pejorativity
공식 코드PejorativITy: Disambiguating Pejorative Epithets to Improve Misogyny Detection in Italian Tweets
https://github.com/arklyg/sentree
공식 코드https://github.com/armelrandy/icl-mt
공식 코드In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
https://github.com/arthua196/Leakage-Neutral-Learning-for-QuoraQP
공식 코드Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
https://github.com/arthurbra/sequential-sentence-classification
공식 코드Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers
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