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

https://github.com/VinAIResearch/JointIDSF

BERT for Joint Intent Classification and Slot Filling

https://github.com/VinitSR7/Image-Caption-Generation

Show and Tell: A Neural Image Caption Generator

https://github.com/VishalFun/Keras_practice

Sequence to Sequence Learning with Neural Networks

https://github.com/VladimirV99/Automatic-Translation

Sequence to Sequence Learning with Neural Networks

https://github.com/Walid-Rahman2/modified_sentence_transfomers

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/Wence-May/Image-Annotation

Show and Tell: A Neural Image Caption Generator

https://github.com/WingsBrokenAngel/Semantics-AssistedVideoCaptioningModelTrainedwithScheduledSamplingStrategy

A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling

https://github.com/WuJie1010/TSP-PRL

TALL: Temporal Activity Localization via Language Query

https://github.com/WuJie1010/Temporally-language-grounding

TALL: Temporal Activity Localization via Language Query

https://github.com/XL2248/AGDT

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis

https://github.com/XingxingZhang/dress

Sentence Simplification with Deep Reinforcement Learning

https://github.com/XueFuzhao/SimpleRE

An Embarrassingly Simple Model for Dialogue Relation Extraction

https://github.com/YPCC/medical-data

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts

https://github.com/YUEXIUG/M2TS

Recommendations for Datasets for Source Code Summarization

https://github.com/YadiLao/MM-Tag

A Tree Search Algorithm for Sequence Labeling

https://github.com/YangLi1221/CoRA-pytorch

Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention

https://github.com/YerevaNN/DIIN-in-Keras

Natural Language Inference over Interaction Space

https://github.com/YerevaNN/SciERC

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

https://github.com/Yifan-Gao/Distractor-Generation-RACE

Generating Distractors for Reading Comprehension Questions from Real Examinations

https://github.com/Yottaxx/T-LSTM

Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures

https://github.com/YoungXiyuan/DCA

Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss

https://github.com/YovaKem/generalized-procrustes-MUSE

Unsupervised Machine Translation Using Monolingual Corpora Only

https://github.com/YuanGongND/gopt

speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment

https://github.com/YuweiYin/GTrans

Multi-layer Representation Fusion for Neural Machine Translation

https://github.com/YuxiXie/Neural-Question-Generation

Neural Question Generation from Text: A Preliminary Study

https://github.com/YvesWang/Machine_Translation_NLP

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ZHANG45/multi_gpu_seq2seq

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

https://github.com/ZHEvent/ZHEvent.github.io

Interactive Grounded Language Acquisition and Generalization in a 2D World

https://github.com/ZIZUN/MAFiD

A Multi-Level Attention Model for Evidence-Based Fact Checking

https://github.com/ZacharyChenpk/Local_ETHZ

Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss

https://github.com/ZephyrChenzf/SF-ID-Network-For-NLU

A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling

https://github.com/ZiningZhu/feng-hirst-rst-parser

Two-pass Discourse Segmentation with Pairing and Global Features

https://github.com/ZmeiGorynych/transformer_pytorch

A Structured Self-attentive Sentence Embedding

https://github.com/ZurichNLP/sockeye

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/a1085728420/seq2seq-mindspore

Sequence to Sequence Learning with Neural Networks

https://github.com/a414351664/my_git_laser

Encode, Tag, Realize: High-Precision Text Editing

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