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

https://github.com/ai21labs/lm-evaluation

Language Models are Few-Shot Learners

https://github.com/ai4bharat/indicbert

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages

https://github.com/aikawasho/BertSum

Text Summarization with Pretrained Encoders

https://github.com/akash18tripathi/MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

Multi-Label Text Classification using Attention-based Graph Neural Network

https://github.com/akshay-gupta123/BI-LSTM-CRF_Tensorflow

Bidirectional LSTM-CRF Models for Sequence Tagging

https://github.com/alazraq/arabic-nlp

ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets

https://github.com/alex-f1tor/Image-Caption

Show and Tell: A Neural Image Caption Generator

https://github.com/alexander-rakhlin/CNN-for-Sentence-Classification-in-Keras

Convolutional Neural Networks for Sentence Classification

https://github.com/alexis-jacq/Pytorch-ChatBot

A Neural Conversational Model

https://github.com/alibaba/EasyNLP

K-BERT: Enabling Language Representation with Knowledge Graph

https://github.com/alicank/Translation-Augmented-LibriSpeech-Corpus

Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation

https://github.com/allenai/CommonGen-Eval

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

https://github.com/allenai/FineGrainedRLHF

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

https://github.com/allenai/bilm-tf

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/allenai/ir_datasets

ABNIRML: Analyzing the Behavior of Neural IR Models

https://github.com/allenai/macaw

Language Models are Few-Shot Learners

https://github.com/allenai/mslr-shared-task

BERTScore: Evaluating Text Generation with BERT

https://github.com/allenai/open-mds

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

https://github.com/allisontam/bills867

BillSum: A Corpus for Automatic Summarization of US Legislation

https://github.com/alphadl/languageaware_tuning

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing

https://github.com/altsoph/paranoid_transformer

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

https://github.com/am-sirdaniel/Image-Captioning-Model

Show and Tell: A Neural Image Caption Generator

https://github.com/amagooda/SummaRuNNer_coattention

SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents

https://github.com/amazon-research/fact-graph

Annotating and Modeling Fine-grained Factuality in Summarization

https://github.com/amazon-science/amazon-multilingual-counterfactual-dataset

I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews

https://github.com/amazon-science/bschecker-for-fine-grained-hallucination-detection

RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models

https://github.com/amazon-science/fact-graph

Annotating and Modeling Fine-grained Factuality in Summarization

https://github.com/amazon-science/intent-aware-encoder

Efficient Intent Detection with Dual Sentence Encoders

https://github.com/amazon-science/sentence-representations

Virtual Augmentation Supported Contrastive Learning of Sentence Representations

https://github.com/amirmazaheri1990/VFIB-LRRLLSTMs

Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions

https://github.com/amirmazaheri1990/Visual-Text-Correction

Visual Text Correction

https://github.com/amitz25/PCCoder

Effective Approaches to Attention-based Neural Machine Translation

https://github.com/anandaswarup/phrase_break_prediction

Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

https://github.com/ananyacoder/mee_wmt2021

BERTScore: Evaluating Text Generation with BERT

https://github.com/andrewfwalters/w266-final-project

Convolutional Neural Networks for Sentence Classification

https://github.com/andy194673/nlg-sclstm-multiwoz

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

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