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

https://github.com/lakshmichaitanyach/project_2

Sequence to Sequence Learning with Neural Networks

https://github.com/lambert-x/prolab

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/laohur/LearnToCompareText

A Structured Self-attentive Sentence Embedding

https://github.com/laohur/RelationNet

A Structured Self-attentive Sentence Embedding

https://github.com/laramaktub/plant-classification-tf-train

Top-down Visual Saliency Guided by Captions

https://github.com/laserene/English-German-Translation-System

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/lastmile-ai/aiconfig

Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction

https://github.com/lavis-nlp/spert

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

https://github.com/law-ai/summarization

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/ldulcic/chatbot

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/leduoyang/IRIE_project_2018_relation_extraction

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts

https://github.com/leejieun51/transformer

A Structured Self-attentive Sentence Embedding

https://github.com/lemon234071/TransformerBaselines

Spelling Error Correction with Soft-Masked BERT

https://github.com/lena-voita/description-length-probing

What do you learn from context? Probing for sentence structure in contextualized word representations

https://github.com/lenyabloko/SemEval2020

SemEval-2020 Task 5: Counterfactual Recognition

https://github.com/leob03/Image_captionning

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/leon1207/3dreftr

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

https://github.com/leowang1217/UCWS

Unsupervised Word Segmentation with Bi-directional Neural Language Model

https://github.com/leshanbog/lasertagger

Encode, Tag, Realize: High-Precision Text Editing

https://github.com/leuchine/S-LSTM

Sentence-State LSTM for Text Representation

https://github.com/lezzhov/learning_to_rank

Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture

https://github.com/lgalke/vec4ir

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

https://github.com/liangyuxin42/SimCSE-reproduce

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/libowen2121/SNLI-decomposable-attention

A Decomposable Attention Model for Natural Language Inference

https://github.com/linguishi/chinese_sentiment

Convolutional Neural Networks for Sentence Classification

https://github.com/lipiji/hierarchical-encoder-decoder

A Hierarchical Neural Autoencoder for Paragraphs and Documents

https://github.com/liqichen6688/duo-attention

A Structured Self-attentive Sentence Embedding

https://github.com/littleflow3r/Japanese_English_Machine_Translation_Seq2Seq

Sequence to Sequence Learning with Neural Networks

https://github.com/littleflow3r/SeqtoSeq_learning_for_machine_translation

Sequence to Sequence Learning with Neural Networks

https://github.com/littleflow3r/Sequence_to_sequence_learning_for_machine_translation

Sequence to Sequence Learning with Neural Networks

https://github.com/littleflow3r/Sequence_to_sequence_learning_with_NN

Sequence to Sequence Learning with Neural Networks

https://github.com/liuhaixiachina/Sentiment-Analysis-of-Citations-Using-Word2vec

Sentiment Analysis of Citations Using Word2vec

https://github.com/lixin4ever/BERT-E2E-ABSA

An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis

https://github.com/liyzcj/leakgan-py3

Long Text Generation via Adversarial Training with Leaked Information

https://github.com/lkfo415579/MT-Readling-List

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/lkfo415579/amun

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

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