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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/l2l7l9p/polynomials-for-wfomc
공식 코드Bridging Weighted First Order Model Counting and Graph Polynomials
https://github.com/l3cube-pune/MarathiNLP
공식 코드L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models
https://github.com/l3cube-pune/code-mixed-nlp
공식 코드L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models
https://github.com/l3cube-pune/indic-nlp
공식 코드L3Cube-IndicNews: News-based Short Text and Long Document Classification Datasets in Indic Languages
https://github.com/labbeti/aac-metrics
공식 코드https://github.com/laeubli/parity
공식 코드Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation
https://github.com/laihuiyuan/mflag
공식 코드https://github.com/laihuiyuan/mmfld
공식 코드https://github.com/lalithjets/surgical_vqa
공식 코드Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
https://github.com/lamsoma/auto_nli
공식 코드Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
https://github.com/lancopku/Augmented_Data_for_FST
공식 코드https://github.com/lancopku/Chinese-Dependency-Treebank-with-Ellipsis
공식 코드Building an Ellipsis-aware Chinese Dependency Treebank for Web Text
https://github.com/lancopku/Embedding-Poisoning
공식 코드https://github.com/lancopku/Skeleton-Based-Generation-Model
공식 코드A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
https://github.com/lancopku/avg-avg
공식 코드Holistic Sentence Embeddings for Better Out-of-Distribution Detection
https://github.com/lancopku/bag-of-words
공식 코드https://github.com/lancopku/nndep
공식 코드Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing
https://github.com/lancopku/unpaired-sentiment-translation
공식 코드Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
https://github.com/langcomp/lm_1b
공식 코드Local word statistics affect reading times independently of surprisal
https://github.com/langprocgroup/rnn_soft_constraints
공식 코드https://github.com/laniqo-public/fame-mt
공식 코드FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes
https://github.com/lanwuwei/SPM_toolkit
공식 코드https://github.com/lara-martin/ASTER
공식 코드Event Representations for Automated Story Generation with Deep Neural Nets
https://github.com/lara-martin/StoryPlot-RewardShaping
공식 코드Controllable Neural Story Plot Generation via Reward Shaping
https://github.com/larocs/pracegover
공식 코드#PraCegoVer: A Large Dataset for Image Captioning in Portuguese
https://github.com/lascivaroma/seligator
공식 코드Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts
https://github.com/lauhaide/WikiCatSum
공식 코드Generating Summaries with Topic Templates and Structured Convolutional Decoders
https://github.com/lauhaide/clads
공식 코드https://github.com/laujames/pat
공식 코드Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
https://github.com/launchnlp/seesaw
공식 코드Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation
https://github.com/laurieburchell/cs-lid-harder-than-you-think
공식 코드Code-Switched Language Identification is Harder Than You Think
https://github.com/laurieburchell/multi-sentence-questions
공식 코드https://github.com/lavanyats/iMATCH
공식 코드IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner
https://github.com/lavis-nlp/jerex
공식 코드An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
https://github.com/lcs2-iiitd/multimodal-sarcasm-explanation-muse
공식 코드Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation
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