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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/christoschr97/misinf-detection-llms

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Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models

https://github.com/chunmeifeng/sprc

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Sentence-level Prompts Benefit Composed Image Retrieval

https://github.com/chz816/esacl

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Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

https://github.com/cic4k/wisebe

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WiSeBE: Window-based Sentence Boundary Evaluation

https://github.com/cimm-kzn/RuDReC

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The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews

https://github.com/cindyxinyiwang/emea

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Efficient Test Time Adapter Ensembling for Low-resource Language Varieties

https://github.com/circle-ming/multicsr

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Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning

https://github.com/cisnlp/colexificationnet

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Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs

https://github.com/cisnlp/masklid

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MaskLID: Code-Switching Language Identification through Iterative Masking

https://github.com/cisnlp/transliteration-ppa

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How Transliterations Improve Crosslingual Alignment

https://github.com/cjfarmer/trd_fsl

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Pre-trained Token-replaced Detection Model as Few-shot Learner

https://github.com/ck37/coral-ordinal

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Constructing interval variables via faceted Rasch measurement and multitask deep learning: a hate speech application

https://github.com/ckbjimmy/p2c

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Unsupervised Clinical Language Translation

https://github.com/cl-tohoku/jaoj

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To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese

https://github.com/clarkkev/attention-analysis

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What Does BERT Look At? An Analysis of BERT's Attention

https://github.com/claude-liu/relm

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Chinese Spelling Correction as Rephrasing Language Model

https://github.com/claudiashu/una

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Unsupervised hard Negative Augmentation for contrastive learning

https://github.com/clcl-geneva/blm-snfdisentangling

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Grammatical information in BERT sentence embeddings as two-dimensional arrays

https://github.com/cleopatra-itn/claim_detection

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Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features

https://github.com/cleverly-ai/multilingual-email-zoning

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Multilingual Email Zoning

https://github.com/clip-fields/clip-fields.github.io

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CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory

https://github.com/cliveyn/scstory

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SCStory: Self-supervised and Continual Online Story Discovery

https://github.com/cliveyn/ustory

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Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding

https://github.com/clovaai/ssmix

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SSMix: Saliency-Based Span Mixup for Text Classification

https://github.com/clp-research/pento-diaref

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Pento-DIARef: A Diagnostic Dataset for Learning the Incremental Algorithm for Referring Expression Generation from Examples

https://github.com/cnap/grammaticality-metrics

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There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction

https://github.com/cnrpman/procedural-extraction

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Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis

https://github.com/coastalcph/koepsala-parser

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Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding

https://github.com/coco11563/NEEDED

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NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis

https://github.com/codezakh/exploiting-BERT-thru-translation

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Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation

https://github.com/cogito233/causal-sa

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Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis

https://github.com/coisini-glenda/wsdan-for-medical-visual-question-answering

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A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question Answering

https://github.com/cominsys/FRAKE

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FRAKE: Fusional Real-time Automatic Keyword Extraction

https://github.com/complementizer/rl-sentence-compression

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Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning

https://github.com/componavt/wcorpus

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WSD algorithm based on a new method of vector-word contexts proximity calculation via epsilon-filtration

https://github.com/computationalmedia/supmmd

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SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy

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