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

https://github.com/pspdada/SENTINEL

공식 코드

Mitigating Object Hallucinations via Sentence-Level Early Intervention

https://github.com/psunlpgroup/ConEntail

공식 코드

ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining

https://github.com/ptarau/DeepRank

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Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval

https://github.com/puerrrr/focal-infonce

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Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE

https://github.com/pulkitparikh/sexism_classification

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Multi-label Categorization of Accounts of Sexism using a Neural Framework

https://github.com/punyajoy/Hateminers-EVALITA

공식 코드

Hateminers : Detecting Hate speech against Women

https://github.com/puredefence/advbench4text

공식 코드

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks

https://github.com/pvougiou/Wikidata2Wikipedia

공식 코드

Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata

https://github.com/pygongnlp/pt-m2

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Revisiting Grammatical Error Correction Evaluation and Beyond

https://github.com/pytorch/fairseq

공식 코드

Pre-trained Language Model Representations for Language Generation

https://github.com/pytorch/fairseq/tree/master/examples/criss

공식 코드

Cross-lingual Retrieval for Iterative Self-Supervised Training

https://github.com/pytorch/fairseq/tree/master/examples/mbart

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Multilingual Denoising Pre-training for Neural Machine Translation

https://github.com/qcri/e-wer

공식 코드

Word Error Rate Estimation Without ASR Output: e-WER2

https://github.com/qiang2100/BERT-LS

공식 코드

Lexical Simplification with Pretrained Encoders

https://github.com/qiang2100/parals

공식 코드

ParaLS: Lexical Substitution via Pretrained Paraphraser

https://github.com/qingwang-isu/augure

공식 코드

Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs

https://github.com/qingwang-isu/corec

공식 코드

CoRec: An Easy Approach for Coordination Recognition

https://github.com/qipeng/arc-swift

공식 코드

Arc-swift: A Novel Transition System for Dependency Parsing

https://github.com/qiyuw/peercl

공식 코드

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

https://github.com/qkrdmsghk/textssl

공식 코드

Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

https://github.com/qtacierp/prior

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PRIOR: Prototype Representation Joint Learning from Medical Images and Reports

https://github.com/qtli/AOT

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Abstractive Opinion Tagging

https://github.com/qy-feng/CRN

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Cascaded Revision Network for Novel Object Captioning

https://github.com/qzhb/bssard

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Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video

https://github.com/r1niga/step-proof

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StepProof: Step-by-step verification of natural language mathematical proofs

https://github.com/rabeehk/vibert

공식 코드

Variational Information Bottleneck for Effective Low-Resource Fine-Tuning

https://github.com/radidd/Doc-substructure-NMT

공식 코드

Document Sub-structure in Neural Machine Translation

https://github.com/raduionescu/MOROCO-Tweets

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The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification

https://github.com/rafaelanchieta/sema

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SEMA: an Extended Semantic Evaluation Metric for AMR

https://github.com/raghavgoyal14/minotaur/tree/rgv/all-tasks

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MINOTAUR: Multi-task Video Grounding From Multimodal Queries

https://github.com/raghavlite/GenEOL

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GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings

https://github.com/rahular/joint-coref-srl

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Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards

https://github.com/rahulpatchigolla/EventTriggerDetection

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Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models

https://github.com/rainavyas/naacl-2022-residue-detector

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Residue-Based Natural Language Adversarial Attack Detection

https://github.com/rajammanabrolu/StoryRealization

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Story Realization: Expanding Plot Events into Sentences

https://github.com/rajdeep345/paste

공식 코드

PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction

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