https://github.com/ncbi-nlp/bioredirect
공식 코드Enhancing Biomedical Relation Extraction with Directionality
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ncbi/biocpt
공식 코드https://github.com/ncbi/medcpt
공식 코드https://github.com/nclabhzhang/GBRE
공식 코드Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction
https://github.com/necla-ml/SNLI-VE
공식 코드Visual Entailment Task for Visually-Grounded Language Learning
https://github.com/nehasrikn/elaborative-simplification
공식 코드Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification
https://github.com/nelson-liu/evaluating-verifiability-in-generative-search-engines
공식 코드https://github.com/nerel-ds/nerel
공식 코드NEREL: A Russian Dataset with Nested Named Entities, Relations and Events
https://github.com/nert-nlp/streusle
공식 코드https://github.com/neukg/MultiIE
공식 코드https://github.com/neulab/compare-mt
공식 코드compare-mt: A Tool for Holistic Comparison of Language Generation Systems
https://github.com/nfriedri/annie-annotation-platform
공식 코드AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark
https://github.com/ngwgsang/visp
공식 코드https://github.com/nhhoang96/multicl_slot_induction
공식 코드Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
https://github.com/nianlonggu/lmcitegen
공식 코드Controllable Citation Sentence Generation with Language Models
https://github.com/nianlonggu/memsum
공식 코드https://github.com/nianlonggu/scilit
공식 코드SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation
https://github.com/nianzuma/pat-snd
공식 코드Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities
https://github.com/nicpopovic/fredo
공식 코드https://github.com/niger-volta-lti/yoruba-voice
공식 코드https://github.com/nii-cl/projectivity-of-presupposition
공식 코드PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments
https://github.com/nii-yamagishilab/mla
공식 코드A Multi-Level Attention Model for Evidence-Based Fact Checking
https://github.com/nikhilbyte/hinglish-qeval
공식 코드https://github.com/nikitakit/self-attentive-parser
공식 코드https://github.com/nikitakit/tetra-tagging
공식 코드Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference
https://github.com/nilesc/Long-Structured-Debate-Generation-and-Evaluation
공식 코드https://github.com/nils-freyer/guido
공식 코드GUIDO: A Hybrid Approach to Guideline Discovery & Ordering from Natural Language Texts
https://github.com/niluthpol/weak_supervised_video_moment
공식 코드https://github.com/ninatian98369/hypogen
공식 코드HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge
https://github.com/ningningyang/NDPR
공식 코드Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents
https://github.com/nini0919/diffpng
공식 코드Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model
https://github.com/ninikolov/data-driven-summarization
공식 코드https://github.com/ninikolov/lha
공식 코드Large-scale Hierarchical Alignment for Data-driven Text Rewriting
https://github.com/ninikolov/low_resource_summarization
공식 코드https://github.com/nipunsadvilkar/pySBD
공식 코드https://github.com/nishantsubramani/steering_vectors
공식 코드Extracting Latent Steering Vectors from Pretrained Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.