https://github.com/lingo-iitgn/commentator
공식 코드COMMENTATOR: A Code-mixed Multilingual Text Annotation Framework
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lingyongyan/docds
공식 코드https://github.com/lions-epfl/charmer
공식 코드Revisiting Character-level Adversarial Attacks for Language Models
https://github.com/lipiji/SongNet
공식 코드https://github.com/lipiji/TtT
공식 코드Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction
https://github.com/liqiangjing/team
공식 코드Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation
https://github.com/lisaaa1017/fanchuan
공식 코드FanChuan: A Multilingual and Graph-Structured Benchmark For Parody Detection and Analysis
https://github.com/lisasiyu/cross-align
공식 코드Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
https://github.com/lishunyao97/Pun-GAN
공식 코드https://github.com/litong99/citss
공식 코드https://github.com/liudaizong/CSMGAN
공식 코드Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization
https://github.com/liufly/delayed-memory-update-entnet
공식 코드Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis
https://github.com/liutianlin0121/contSentEmbed
공식 코드Continual Learning for Sentence Representations Using Conceptors
https://github.com/livnlp/svp-sdml
공식 코드A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
https://github.com/liwb1219/hrmf
공식 코드Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models
https://github.com/lixin4ever/E2E-TBSA
공식 코드An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
https://github.com/lixin4ever/HAST
공식 코드Aspect Term Extraction with History Attention and Selective Transformation
https://github.com/lixin4ever/TNet
공식 코드Transformation Networks for Target-Oriented Sentiment Classification
https://github.com/liyc7711/doc2doc
공식 코드P-Transformer: Towards Better Document-to-Document Neural Machine Translation
https://github.com/liyucheng09/basicbert
공식 코드https://github.com/lizhaoliu-lec/cg-vlm
공식 코드Contrastive Vision-Language Alignment Makes Efficient Instruction Learner
https://github.com/llm-lab-org/CLASP
공식 코드CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval
https://github.com/lluisalemanypuig/optimality-syntactic-dependency-distances
공식 코드https://github.com/lntzm/mesm
공식 코드Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
https://github.com/loginaway/storyanalogy
공식 코드https://github.com/longyuewangdcu/disco-bench
공식 코드Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling
https://github.com/longyuewangdcu/tvsub
공식 코드https://github.com/looperxx/proslu
공식 코드Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding
https://github.com/lorelupo/divide-and-rule
공식 코드Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models
https://github.com/lorelupo/focused-concat
공식 코드Focused Concatenation for Context-Aware Neural Machine Translation
https://github.com/lovodkin93/attribute-first-then-generate
공식 코드Attribute First, then Generate: Locally-attributable Grounded Text Generation
https://github.com/lshowway/d-han
공식 코드D-HAN: Dynamic News Recommendation with Hierarchical Attention Network
https://github.com/lshowway/kesa
공식 코드https://github.com/lsj2408/XLP
공식 코드Revisiting Language Encoding in Learning Multilingual Representations
https://github.com/lsplx/vetesting
공식 코드VEglue: Testing Visual Entailment Systems via Object-Aligned Joint Erasing
https://github.com/lt-nlp-lab-unibo/newssd-eng
공식 코드A Corpus for Sentence-level Subjectivity Detection on English News Articles
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.