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

https://github.com/serenaklm/rumor_detection

Interpretable Rumor Detection in Microblogs by Attending to User Interactions

https://github.com/setu4993/convert-labse-tf-pt

Language-agnostic BERT Sentence Embedding

https://github.com/seunghwan1228/ELMO

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/sfu-natlang/SFUTranslate

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

https://github.com/sfzhou5678/PolyEncoder

Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

https://github.com/sh951011/Attention-Implementation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/shaanchandra/InferSent

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/shagunsodhani/CNN-Sentence-Classifier

Convolutional Neural Networks for Sentence Classification

https://github.com/shahriargolchin/time-travel-in-llms

Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models

https://github.com/shahrukhsf/Chatbot

A Neural Conversational Model

https://github.com/shamalwinchurkar/question-classification

A C-LSTM Neural Network for Text Classification

https://github.com/shaneding/bilm-tf-experimentation

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/shangeth/Vehicle_Speed_Estimation

Show and Tell: A Neural Image Caption Generator

https://github.com/shantipriyap/odia-nlp-resource-catalog

PMIndia -- A Collection of Parallel Corpora of Languages of India

https://github.com/shanzhenren/AFET

Context-Dependent Fine-Grained Entity Type Tagging

https://github.com/shanzhenren/PLE

Context-Dependent Fine-Grained Entity Type Tagging

https://github.com/shao-chi/ImageCaption

CIDEr: Consensus-based Image Description Evaluation

https://github.com/sharejing/BiPaR

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

https://github.com/shark-nlp/openicl

What Makes Good In-Context Examples for GPT-$3$?

https://github.com/shashank93jai/adversarial-sentence-generation

Natural Adversarial Sentence Generation with Gradient-based Perturbation

https://github.com/shashanksiripragada/pib-crawl

A Multilingual Parallel Corpora Collection Effort for Indian Languages

https://github.com/shashiongithub/Sentence-Simplification-ACL14

Unsupervised Sentence Simplification Using Deep Semantics

https://github.com/shawnlimn/UnifiedParser_RST

A Unified Linear-Time Framework for Sentence-Level Discourse Parsing

https://github.com/shawntan/rtdp

Recursive Top-Down Production for Sentence Generation with Latent Trees

https://github.com/shawnyxiao/textclassification-keras

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/shelleyHLX/bilm_EMLo

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/shibing624/text2vec

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

https://github.com/shibing624/textgen

SongNet: Rigid Formats Controlled Text Generation

https://github.com/shijx12/shijx12.github.io

Learning to Embed Sentences Using Attentive Recursive Trees

https://github.com/shivani-raul/Image-Captioning-VGG16

Image Captioning using Deep Neural Architectures

https://github.com/shlokmehrotra/Convocare

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/showkeyjar/chinese_im2text.pytorch

Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

https://github.com/shreyashankar/gpt3-sandbox

Language Models are Few-Shot Learners

https://github.com/shuxinyin/SimCSE-Pytorch

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/sibozhang/Text2Video

Text-based Editing of Talking-head Video

https://github.com/sid7954/NLP-Toolkit

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

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