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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/guxd/c-dnpg
공식 코드Continuous Decomposition of Granularity for Neural Paraphrase Generation
https://github.com/guyrosin/tempobert
공식 코드https://github.com/gyauney/domain-specific-lexical-grounding
공식 코드Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
https://github.com/gzhang-umich/1cademyteamofcase
공식 코드https://github.com/h-aldarmaki/sent_translation_retrieval
공식 코드https://github.com/h-tayyarmadabushi/semeval_2022_task2-idiomaticity
공식 코드SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
https://github.com/ha-lins/DTG-SI
공식 코드https://github.com/hallerp/dyslexia-seqmod
공식 코드https://github.com/hallie304/vlsp23-comparative-opinion-mining
공식 코드https://github.com/halnegheimish/forcedinvalidation
공식 코드Towards preserving word order importance through Forced Invalidation
https://github.com/hamedhematian/importantnews
공식 코드KhabarChin: Automatic Detection of Important News in the Persian Language
https://github.com/handshakesbydc/case2021
공식 코드Handshakes AI Research at CASE 2021 Task 1: Exploring different approaches for multilingual tasks
https://github.com/hankcs/multi-criteria-cws
공식 코드Effective Neural Solution for Multi-Criteria Word Segmentation
https://github.com/hannahxchen/automatic-paraphrase-dataset-augmentation
공식 코드Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
https://github.com/hannamw/gp-mechanisms
공식 코드Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models
https://github.com/hannibal046/nmt_with_contrastive_memories
공식 코드Neural Machine Translation with Contrastive Translation Memories
https://github.com/hans/nn-decoding
공식 코드Does the brain represent words? An evaluation of brain decoding studies of language understanding
https://github.com/haojc/shufflingvideosfortsg
공식 코드Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
https://github.com/haounsw/pisa
공식 코드PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
https://github.com/haraai/normalization-
공식 코드ParsiNorm: A Persian Toolkit for Speech Processing Normalization
https://github.com/harsh19/Latent-Anchor-Plan
공식 코드https://github.com/harsh19/spot-the-diff
공식 코드Learning to Describe Differences Between Pairs of Similar Images
https://github.com/harvardnlp/compound-pcfg
공식 코드Compound Probabilistic Context-Free Grammars for Grammar Induction
https://github.com/harvardnlp/urnng
공식 코드https://github.com/hasanhuz/SpanEmo
공식 코드SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
https://github.com/hasiburshanto/bangla-spell-checker
공식 코드https://github.com/hassanhub/MultiGrounding
공식 코드Multi-level Multimodal Common Semantic Space for Image-Phrase Grounding
https://github.com/hassyGo/NLG-RL
공식 코드Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
https://github.com/hazel1994/visually_grounded_word_embeddings_2
공식 코드Language with Vision: a Study on Grounded Word and Sentence Embeddings
https://github.com/heavenhellchen/recse
공식 코드reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning
https://github.com/heendung/vs-zsl
공식 코드Revisiting Document Representations for Large-Scale Zero-Shot Learning
https://github.com/heidelberg-nlp/amrparseeval
공식 코드Better Smatch = Better Parser? AMR evaluation is not so simple anymore
https://github.com/heidelberg-nlp/ancient-language-models
공식 코드Graecia capta ferum victorem cepit. Detecting Latin Allusions to Ancient Greek Literature
https://github.com/henghuiding/MeViS
공식 코드MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
https://github.com/henryxrl/Listening-to-Sound-of-Silence-for-Speech-Denoising
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.