https://github.com/zyli93/saecon
공식 코드Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zysszy/GrammarCNN
공식 코드https://github.com/zzeng13/disc
공식 코드Idiomatic Expression Identification using Semantic Compatibility
https://github.com/zzr8066/graphdoc
공식 코드Multimodal Pre-training Based on Graph Attention Network for Document Understanding
https://github.com/zzs95/mranet
공식 코드Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation
https://gitlab.com/mcoavoux/discoparset
공식 코드Discontinuous Constituency Parsing with a Stack-Free Transition System and a Dynamic Oracle
https://gitlab.com/smontariol/multi-task-esg
공식 코드Multi-Task Learning for Features Extraction in Financial Annual Reports
https://gitlab.com/ucdavisnlp/antiscam
공식 코드https://gitlab.com/ucdavisnlp/persuasionforgood
공식 코드Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
https://gitlab.com/web3se/smartintent
공식 코드https://gitlab.com/webnlg/webnlg-human-evaluation
공식 코드Human vs Automatic Metrics: on the Importance of Correlation Design
https://gitlab.informatik.uni-bremen.de/covis1819/worth-the-attention
공식 코드https://gitlab.labikb.ca/ikb-lab/nlp/contextualizer/Contextualizer_arXiv2021
공식 코드An Iterative Contextualization Algorithm with Second-Order Attention
https://huggingface.co/aminhaeri/risk-embed
공식 코드Generative AI Enhanced Financial Risk Management Information Retrieval
https://huggingface.co/bilalzafar/FinAI-BERT
공식 코드https://huggingface.co/datasets/RadGenome/RadGenome-ChestCT
공식 코드RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
https://huggingface.co/datasets/Soyoung/HistRED
공식 코드HistRED: A Historical Document-Level Relation Extraction Dataset
https://huggingface.co/datasets/jdustinwind/Polite
공식 코드Pay Attention to Your Tone: Introducing a New Dataset for Polite Language Rewrite
https://huggingface.co/facebook/muppet-roberta-base
공식 코드Muppet: Massive Multi-task Representations with Pre-Finetuning
https://huggingface.co/facebook/muppet-roberta-large
공식 코드Muppet: Massive Multi-task Representations with Pre-Finetuning
https://huggingface.co/wyu1/DictBERT
공식 코드Dict-BERT: Enhancing Language Model Pre-training with Dictionary
https://worksheets.codalab.org/worksheets/0x4d6dbfc5ec7f44a6a4da4ca2a9334d6e
공식 코드Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
https://worksheets.codalab.org/worksheets/0x5a7d0fe35b144ad68998d74891a31ed6
공식 코드https://worksheets.codalab.org/worksheets/0x609d2d6a66194592a7f44fbb67ba9f49
공식 코드ExpBERT: Representation Engineering with Natural Language Explanations
https://worksheets.codalab.org/worksheets/0x627dc6dc62874a45ba8abc6ada10e753
공식 코드https://worksheets.codalab.org/worksheets/0x88644b5ee189402eb19d39d721d1005c
공식 코드Unifying Human and Statistical Evaluation for Natural Language Generation
https://worksheets.codalab.org/worksheets/0x8fc01c7fc2b742fdb29c05669f0ad7d2
공식 코드Robust Encodings: A Framework for Combating Adversarial Typos
https://worksheets.codalab.org/worksheets/0xa915ba2f8b664ddf8537c83bde80cc8c
공식 코드https://worksheets.codalab.org/worksheets/0xe3eb416773ed4883bb737662b31b4948
공식 코드Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
https://zenodo.org/record/10500594
공식 코드https://bitbucket.org/luanyi/scierc
https://bitbucket.org/nishkalavallabhi/complexity-features
Readability-based Sentence Ranking for Evaluating Text Simplification
https://bitbucket.org/taoyds/nbsvm_pos
https://github.com/1-punchMan/CLTS
https://github.com/1429904852/LOTN
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
https://github.com/2023-MindSpore-1/ms-code-11
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.