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

https://github.com/xianchao-wu/wenet-deep-sparse-conformer

Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

https://github.com/xiangyue9607/SanText

MedSTS: A Resource for Clinical Semantic Textual Similarity

https://github.com/xiaojianhai/aspect_sentiment

Effective LSTMs for Target-Dependent Sentiment Classification

https://github.com/xiaoouwang/frenchnlp

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/xiaoxinyu1997/Knowledge-Graph

Convolutional Neural Networks for Sentence Classification

https://github.com/xilaili/AOGNet

AOGNets: Compositional Grammatical Architectures for Deep Learning

https://github.com/xingbow/TED_dataset

VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking

https://github.com/xingniu/sockeye

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/xinykou/Against_Jailbreak

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model

https://github.com/xinyooo/ALBERT4Rec

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/xiusic/MinPrompt

MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering

https://github.com/xqx12/daily-info

Neurotoxin: Durable Backdoors in Federated Learning

https://github.com/xuehaouwa/lm-load-forecasting

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

https://github.com/xuewyang/Fashion-Image-Captioning-Benchmark

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards

https://github.com/xufangzhi/logiformer

DAGN: Discourse-Aware Graph Network for Logical Reasoning

https://github.com/xuhaiming1996/Densely-Connected-Bidirectional-LSTM

Densely Connected Bidirectional LSTM with Applications to Sentence Classification

https://github.com/xwjim/DocRE-Rec

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

https://github.com/yahah100/text_summarization

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/yalesong/pvse

Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval

https://github.com/yalsaffar/S-COLBERT

ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor

https://github.com/yanghoonkim/neural_question_generation

Learning to Ask: Neural Question Generation for Reading Comprehension

https://github.com/yangletliu/finlora

BERTScore: Evaluating Text Generation with BERT

https://github.com/yangyucheng000/Paper-3/tree/main/SpanQualifier

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

https://github.com/yangyucheng000/Paper-4/tree/main/MED_MindSpore

MedSTS: A Resource for Clinical Semantic Textual Similarity

https://github.com/yangyucheng000/ascend_gru

Sequence to Sequence Learning with Neural Networks

https://github.com/yangyucheng000/bert_Ascend

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

https://github.com/yangyucheng000/textcnn

Convolutional Neural Networks for Sentence Classification

https://github.com/yangzonglin1994/bilm-tf-extended

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/yannvgn/laserembeddings

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

https://github.com/yanqi1811/attention-is-all-you-need

A Structured Self-attentive Sentence Embedding

https://github.com/yash-nishaant/Seq2Seq-Chatbot

Sequence to Sequence Learning with Neural Networks

https://github.com/yashk2810/Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/yeliudev/R2-Tuning

TALL: Temporal Activity Localization via Language Query

https://github.com/yg211/bert_nli

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

https://github.com/yikangshen/Ordered-Memory

ListOps: A Diagnostic Dataset for Latent Tree Learning

https://github.com/ying09/TextFuseNet

$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.