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Relation Extraction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 15
평가표: 51
보존된 평가 기록: 373

Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

코드

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

Relation Extraction

코드

https://github.com/MindCode-4/code-4/tree/main/qwen2_moe

https://github.com/MindCode-4/code-4/tree/main/qwen2_vl

https://github.com/MindSpore-paper-code-3/code4/tree/main/glore_res

https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlm

https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlmv2

https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlmv3

https://github.com/MindSpore-scientific-2/code-14/tree/main/llava_next

https://github.com/MindSpore-scientific-2/code-4/tree/main/pytorch_convgru

https://github.com/MindSpore-scientific/code-7/tree/main/LayoutLMv2

https://github.com/MorningBooks/A_oveview_of_awesome_causality_dataset

https://github.com/MorningBooks/Causality

https://github.com/NEUNLP-RE/Entity-aware-RC

https://github.com/NYU-DICE-Lab/open_clip

https://github.com/OML-Team/open-metric-learning

https://github.com/PKU-YuanGroup/LLMBind

https://github.com/PKU-YuanGroup/MoE-LLaVA

https://github.com/PaddlePaddle/PASSL/blob/main/docs/Train_CLIP_model.md

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/roformer

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/layoutlm

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/layoutlmv2

https://github.com/Panda0406/Adversarial-Learning-Distant-Supervision-RE

https://github.com/Panda0406/Reinforcement-Learning-Distant-Supervision-RE

https://github.com/ProKil/FewRel

https://github.com/RadeenXALNW/G-RAG_1.0

https://github.com/SandraSchaftner/orkg_property_extraction_using_gpt-3.5

https://github.com/Sanjithae/Joint_NER_RE

https://github.com/SforAiDl/CountCLIP

https://github.com/ShannonAI/Entity-Relation-As-Multi-Turn-QA

https://github.com/SharmisthaJat/RE-DS-Word-Attention-Models

https://github.com/ShashSec/SMTI_SA

https://github.com/Sherlock-coder/CasRel

https://github.com/ShomyLiu/pytorch-relation-extraction

https://github.com/Shujian2015/meta-embedding-paper-list

https://github.com/Soikonomou/albert_final

https://github.com/Soikonomou/albert_final_infer12

https://github.com/Soikonomou/albert_final_infer8