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

https://github.com/meiru-cam/coffee

Entity, Relation, and Event Extraction with Contextualized Span Representations

https://github.com/menajosep/AleatoricSent

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/merchantfatema/deep-learning-synonym

Lexical Simplification with Pretrained Encoders

https://github.com/metr/public-tasks

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

https://github.com/meyersbs/squinky

SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature

https://github.com/mfayk/cu_icar_image_captioning

Deep Learning for Video Classification and Captioning

https://github.com/mhagiwara/nanigonet

Language Modeling with Gated Convolutional Networks

https://github.com/michael-wzhu/mpnet_zh

MASS: Masked Sequence to Sequence Pre-training for Language Generation

https://github.com/mickeystroller/R-BERT

Enriching Pre-trained Language Model with Entity Information for Relation Classification

https://github.com/microsoft/BlingFire

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

https://github.com/microsoft/CyBERTron-LM

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling

https://github.com/microsoft/unilm/tree/master/infoxlm

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

https://github.com/microsoft/xpretrain

Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers

https://github.com/midas-research/gupshup

BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories

https://github.com/migonch/unsupervised_mt

Unsupervised Machine Translation Using Monolingual Corpora Only

https://github.com/mike-a-yen/date-translation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/mila-ai4h/ai4h_aims-au

AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements

https://github.com/milmor/GPT

Language Models are Few-Shot Learners

https://github.com/mindspore-ai/models/tree/master/official/nlp/gnmt_v2

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

https://github.com/mindspore-ai/models/tree/master/official/nlp/gpt

Language Models are Few-Shot Learners

https://github.com/mindspore-ai/models/tree/master/official/nlp/mass

MASS: Masked Sequence to Sequence Pre-training for Language Generation

https://github.com/mindspore-ai/models/tree/master/official/nlp/textcnn

Convolutional Neural Networks for Sentence Classification

https://github.com/mindspore-ai/models/tree/master/research/cv/TNT

Transformer in Transformer

https://github.com/mindspore-ai/models/tree/master/research/cv/tall

TALL: Temporal Activity Localization via Language Query

https://github.com/mindspore-ai/models/tree/master/research/nlp/lstm_crf

Bidirectional LSTM-CRF Models for Sequence Tagging

https://github.com/mindspore-ai/models/tree/master/research/nlp/seq2seq

Sequence to Sequence Learning with Neural Networks

https://github.com/mindspore-courses/ABSA-MindSpore

Effective LSTMs for Target-Dependent Sentiment Classification

https://github.com/mindspore-courses/DeepNLP-models-MindSpore

Convolutional Neural Networks for Sentence Classification

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/TnT.py

Transformer in Transformer

https://github.com/mindspore-courses/heads-on-mindspore/tree/main/5-image_caption

Show and Tell: A Neural Image Caption Generator

https://github.com/mindspore-lab/mindnlp/blob/master/mindnlp/models/albert/albert.py

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

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

Evaluation of sentence embeddings in downstream and linguistic probing tasks

https://github.com/minimalparts/MeaningInContext

How to marry a star: probabilistic constraints for meaning in context

https://github.com/minsoo9506/NLP-study

Sequence to Sequence Learning with Neural Networks

https://github.com/miohana/vqa

Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering

https://github.com/mirandrom/HipoRank

Discourse-Aware Unsupervised Summarization of Long Scientific Documents

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