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

https://github.com/napakalas/NLIMED

Constituency Parsing with a Self-Attentive Encoder

https://github.com/nargesam/factCC

Evaluating the Factual Consistency of Abstractive Text Summarization

https://github.com/nasib-ullah/video-captioning-models-in-Pytorch

Translating Videos to Natural Language Using Deep Recurrent Neural Networks

https://github.com/natel9178/transformer-refork

A Structured Self-attentive Sentence Embedding

https://github.com/nathanlesage/so-classifier

Neural Text Generation from Structured Data with Application to the Biography Domain

https://github.com/nathanshartmann/portuguese_word_embeddings

Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks

https://github.com/national-center-for-ai-saudi-arabia/lm-evaluation-harness

Language Models are Few-Shot Learners

https://github.com/nbatfai/Robopsychology

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuBrain

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuCTuring

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuKnows

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuLife

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/SamuTuring

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/nbatfai/nahshon

A disembodied developmental robotic agent called Samu Bátfai

https://github.com/ncbi-nlp/BLUE_Benchmark

BioSentVec: creating sentence embeddings for biomedical texts

https://github.com/ncbi/BioRED

BioRED: A Rich Biomedical Relation Extraction Dataset

https://github.com/nclab/nclab.github.io

Automatically Proving Mathematical Theorems with Evolutionary Algorithms and Proof Assistants

https://github.com/ncoop57/gpt-code-clippy

Language Models are Few-Shot Learners

https://github.com/neerav47/Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/neineis/multi-head-attention

Neural Question Generation from Text: A Preliminary Study

https://github.com/nelson-liu/lexical-semantic-recognition

Lexical Semantic Recognition

https://github.com/neqkir/attention-mechanism

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/nestle1993/SE16-Task6-Stance-Detection

Convolutional Neural Networks for Sentence Classification

https://github.com/neulab/code-bert-score

BERTScore: Evaluating Text Generation with BERT

https://github.com/neuralmagic/lm-evaluation-harness

Language Models are Few-Shot Learners

https://github.com/neurips-anon-h1ndi29v/verbose-listops

ListOps: A Diagnostic Dataset for Latent Tree Learning

https://github.com/ngoquanghuy99/POS-Tagging-BiLSTM-CRF

Bidirectional LSTM-CRF Models for Sequence Tagging

https://github.com/nguyenphamvan/BertSum-master

Text Summarization with Pretrained Encoders

https://github.com/nickyeolk/info_retrieve

Learning Semantic Textual Similarity from Conversations

https://github.com/nicoManthey/Mining-Claims-in-UNHCR-reports-A2

Joint RNN Model for Argument Component Boundary Detection

https://github.com/nicolafan/image-captioning-cnn-rnn

Show and Tell: A Neural Image Caption Generator

https://github.com/nicolay-r/AREkit

Predicting Directionality in Causal Relations in Text

https://github.com/nihitsaxena95/sentence-similarity-wordnet-sementic

Calculating the similarity between words and sentences using a lexical database and corpus statistics

https://github.com/nikhil-iyer-97/wide-minima-density-hypothesis

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

https://github.com/nikhilmaram/Show_and_Tell

Show and Tell: A Neural Image Caption Generator

https://github.com/nishimehta/Image_Captioning

Show and Tell: A Neural Image Caption Generator

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