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

https://github.com/fqyshelly/CS224n-Winter2019-assignment-solutions

Effective Approaches to Attention-based Neural Machine Translation

https://github.com/francescodisalvo05/66DaysOfData

Sequence to Sequence Learning with Neural Networks

https://github.com/franckalain/Tensorflow-Projects-ChatBot

A Neural Conversational Model

https://github.com/frankdarkluo/sols

Dialogue-Based Relation Extraction

https://github.com/frederick0329/text-classification-benchmark

Convolutional Neural Networks for Sentence Classification

https://github.com/fredxlpy/cross_lingual_prompt_tuning

SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects

https://github.com/freedombenLiu/MUSE

Unsupervised Machine Translation Using Monolingual Corpora Only

https://github.com/freedomintelligence/sdak

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

https://github.com/frozentoad9/Neural-Machine-Translation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/fshdnc/enfi-XLM

Phrase-Based & Neural Unsupervised Machine Translation

https://github.com/fstahlberg/tensor2tensor-usr

Simple Fusion: Return of the Language Model

https://github.com/fuchason/chatbot

A Neural Conversational Model

https://github.com/fuhuamosi/MatchLstm

Learning Natural Language Inference with LSTM

https://github.com/fywalter/label-bias

Language Models are Few-Shot Learners

https://github.com/gabrielsantosrv/coco-caption

CIDEr: Consensus-based Image Description Evaluation

https://github.com/galkesten/Domestic-Violence-Classifier

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/galsang/ABCNN

ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

https://github.com/galsang/BIMPM-pytorch

Bilateral Multi-Perspective Matching for Natural Language Sentences

https://github.com/galsang/galsang

Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations

https://github.com/ganeshjawahar/interpret_bert

SentEval: An Evaluation Toolkit for Universal Sentence Representations

https://github.com/gaotianyu1350/SentEval

SentEval: An Evaluation Toolkit for Universal Sentence Representations

https://github.com/gaussic/text-classification-cnn-rnn

Convolutional Neural Networks for Sentence Classification

https://github.com/gavincaoyuji/NLP

Training Tips for the Transformer Model

https://github.com/geekSiddharth/DeepCoherence

Text Coherence Analysis Based on Deep Neural Network

https://github.com/gengchenmai/space2vec_demo

Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells

https://github.com/georgetown-cset/ai-relevant-papers

SciBERT: A Pretrained Language Model for Scientific Text

https://github.com/getalp/disambiguate

FlauBERT: Unsupervised Language Model Pre-training for French

https://github.com/gfoxx29/Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/ggerganov/llama.cpp

Language Models are Few-Shot Learners

https://github.com/ggml-org/llama.cpp

Language Models are Few-Shot Learners

https://github.com/ghazaleh-mahmoodi/lxmert_compression

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/ghlee0304/NLP-with-tensorflow-pytorch

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

https://github.com/ghzhang233/Leakage-Neutral-Learning-for-QuoraQP

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

https://github.com/giovanniguidi/Seq-2-Seq-OCR

Sequence to Sequence Learning with Neural Networks

https://github.com/gitabtion/BertBasedCorrectionModels

Spelling Error Correction with Soft-Masked BERT

https://github.com/gmcgoldr/theissues

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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