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

https://github.com/THUcqb/KOBE

BERTScore: Evaluating Text Generation with BERT

https://github.com/TJUIRLAB/CIKM2018_QMWFLM

A Quantum Many-body Wave Function Inspired Language Modeling Approach

https://github.com/TaiseiAso/BiGruAttEncDec

How Decoding Strategies Affect the Verifiability of Generated Text

https://github.com/Tao-Mind/QDD_Net

A Structured Self-attentive Sentence Embedding

https://github.com/TeaPoly/Conformer-Athena

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

https://github.com/TeamLab/bert-gcn-for-paper-citation

A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks

https://github.com/TeddLi/Further-manually-annotated-glockner

Several Experiments on Investigating Pretraining and Knowledge-Enhanced Models for Natural Language Inference

https://github.com/TellinaTool/nl2bash

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/Tencent/TurboTransformers

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

https://github.com/TencentYoutuResearch/PersonReID-CACENET

Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search

https://github.com/ThAIKeras/bert

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

https://github.com/TheNeuromancer/SentEmb

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/TheophileBlard/french-sentiment-analysis-with-bert

FlauBERT: Unsupervised Language Model Pre-training for French

https://github.com/ThomasScialom/QuestEval

Rethinking Automatic Evaluation in Sentence Simplification

https://github.com/Thomasyyj/EEEQA

EEE-QA: Exploring Effective and Efficient Question-Answer Representations

https://github.com/Tiagoblima/EA-Translator

Evolutionary Algorithm for Sinhala to English Translation

https://github.com/TieDanCuihua/A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING

A Structured Self-attentive Sentence Embedding

https://github.com/TieDanCuihua/Bilateral-Multi-Perspective-Matching-for-Natural-Language-Sentences

Bilateral Multi-Perspective Matching for Natural Language Sentences

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

Show and Tell: A Neural Image Caption Generator

https://github.com/TimMerino1710/five-dollar-model

The Five-Dollar Model: Generating Game Maps and Sprites from Sentence Embeddings

https://github.com/Tixierae/deep_learning_NLP

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

https://github.com/Tixierae/gow_tools

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

https://github.com/TobiasLee/Text-Classification

Convolutional Neural Networks for Sentence Classification

https://github.com/Tony4469/laser-agir

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

https://github.com/TsingZ0/PFL-Non-IID

Convolutional Neural Networks for Sentence Classification

https://github.com/Tuofengalways/ee_Model

Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

https://github.com/UKPLab/acl2020-confidence-regularization

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

https://github.com/UKPLab/beir

Pretrained Transformers for Text Ranking: BERT and Beyond

https://github.com/UKPLab/emnlp2020-debiasing-unknown

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

https://github.com/UKPLab/linspector-web

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

https://github.com/UKPLab/useb

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

https://github.com/UcasLzz/CWS

Bidirectional LSTM-CRF Models for Sequence Tagging

https://github.com/UcasLzz/ChineseWordSeg-POS

Bidirectional LSTM-CRF Models for Sequence Tagging

https://github.com/VachanVY/gpt.jax

Language Models are Few-Shot Learners

https://github.com/Valdegg/anlp_rbert

Enriching Pre-trained Language Model with Entity Information for Relation Classification

https://github.com/Vill-Lab/2023-TMM-Grad-SAS

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

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