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

https://github.com/Adaxry/GCDT

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GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

https://github.com/AdeDZY/DeepCT

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Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval

https://github.com/Advancing-Machine-Human-Reasoning-Lab/apt

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Improving Paraphrase Detection with the Adversarial Paraphrasing Task

https://github.com/Alab-NII/mrc-heuristics

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What Makes Reading Comprehension Questions Easier?

https://github.com/AlexGidiotis/DANCER-summ

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A Divide-and-Conquer Approach to the Summarization of Long Documents

https://github.com/AlexJonesNLP/SentimentMT

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Sentiment-based Candidate Selection for NMT

https://github.com/AliNajafi1998/ComStream

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ComStreamClust: a communicative multi-agent approach to text clustering in streaming data

https://github.com/Alibaba-NLP/DAAT-CWS

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Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation

https://github.com/Alidar40/lez-rus-azj-translator

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Neural machine translation system for Lezgian, Russian and Azerbaijani languages

https://github.com/AmmarRashed/UnsupervisedStanceDetection

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Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey

https://github.com/Amyyyyeah/ARES

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ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback

https://github.com/AnneBeyer/coherencegym

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Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models

https://github.com/AnnikaLindh/Controllable_Region_Pointer_Advancement

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Language-Driven Region Pointer Advancement for Controllable Image Captioning

https://github.com/AntNLP/span-linearization-parser

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A Span-based Linearization for Constituent Trees

https://github.com/Antarlekhaka/code

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Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation

https://github.com/Antonio-Dee/interpretable-network-visualizations

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Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification

https://github.com/Armaniii/WIBA

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WIBA: What Is Being Argued? A Comprehensive Approach to Argument Mining

https://github.com/ArrasL/LRP_for_LSTM

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Evaluating Recurrent Neural Network Explanations

https://github.com/AskNowQA/VANiLLa

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VANiLLa : Verbalized Answers in Natural Language at Large Scale

https://github.com/Avmb/clweadv

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Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders

https://github.com/Ayushk4/extract_covid_entity

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Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets

https://github.com/BD-MF/POS4ASC

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Exploiting Position Bias for Robust Aspect Sentiment Classification

https://github.com/BIT-ENGD/codeclassprompt

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Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features

https://github.com/BKHMSI/deep-diacritization

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Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization

https://github.com/BPYap/BERT-WSD

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Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences

https://github.com/BU-DEPEND-Lab/SCUQ-RRG

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Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation

https://github.com/BUTSpeechFIT/BaySMM

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A Bayesian Multilingual Document Model for Zero-shot Topic Identification and Discovery

https://github.com/Babylonpartners/corrsim

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Correlation Coefficients and Semantic Textual Similarity

https://github.com/Babylonpartners/decoding-decoders

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Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks

https://github.com/Babylonpartners/fuzzymax

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Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors

https://github.com/BangLiu/ArticlePairMatching

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Matching Article Pairs with Graphical Decomposition and Convolutions

https://github.com/BeckyMarvin/LM_syneval

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Targeted Syntactic Evaluation of Language Models

https://github.com/BenevolentAI/RELVM

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Learning Informative Representations of Biomedical Relations with Latent Variable Models

https://github.com/BestAnHongjun/SentenceVAE

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SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context

https://github.com/BinWang28/BERT_Sentence_Embedding

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SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models

https://github.com/BinWang28/SBERT-WK-Sentence-Embedding

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SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models

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