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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/dhansmair/flamingo-mini

https://github.com/dialogue-evaluation/AGRR-2019

https://github.com/diffbot/knowledge-net

https://github.com/dksanyal/SpERT.PL

https://github.com/dlvuldet/primevul

https://github.com/dmis-lab/bern

https://github.com/dmlc/dgl/tree/master/examples/mxnet/sgc

https://github.com/dmlc/dgl/tree/master/examples/pytorch/sgc

https://github.com/dmlc/dgl/tree/master/examples/tensorflow/sgc

https://github.com/doc-analysis/DocBank

https://github.com/eify/open_clip

https://github.com/eps696/aphantasia

https://github.com/eric-erki/decaNLP

https://github.com/ericyinyzy/vlattack

https://github.com/facebookresearch/brainmagick

https://github.com/facebookresearch/clip-rocket

https://github.com/facebookresearch/data2vec_vision

https://github.com/facebookresearch/fairseq

https://github.com/facebookresearch/vissl

https://github.com/fastscience-ai/medflamingo

https://github.com/fenchri/edge-oriented-graph

https://github.com/fiabdu/Commonly-Interesting-Images

https://github.com/filipbasara0/simple-clip

https://github.com/fleonce/iter

https://github.com/genggui001/fine_tuning_bert_for_joint_entity_and_relation_extraction_in_chinese_medical_text

https://github.com/georgetown-cset/ai-relevant-papers

https://github.com/giantseaweed/decree

https://github.com/ginihumer/amumo

https://github.com/hazdzz/SGC

https://github.com/henry-paik/EnhancingREMC

https://github.com/hieudepchai/BERT_IE

https://github.com/hieumdt/SCS-EERE

https://github.com/hiyouga/fastedit

https://github.com/hoangcuongnguyen2001/scibert-for-technique-classification

https://github.com/honeywell21/DLinear

https://github.com/huggingface/hmtl