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Generative_KG_Construction_Papers
[EMNLP 2022] Generative Knowledge Graph Construction: A Review
https://github.com/zjunlp/Generative_KG_Construction_Papers
- DeepKE
- EasyEdit - to-use framework to edit Large Language Models.
- DeepKE-LLM - 6B), LLaMA-series, GPT-series etc.
- survey - list](https://github.com/zjunlp/Prompt4ReasoningPapers) for **reasoning with language model prompting**.
- PromptKG
- arivx
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- **Generative Knowledge Graph Construction: A Review**
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
- Multi-Modal Knowledge Graph Construction and Application: A Survey
- Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
- Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language - linearized | arXiv 2022 | [CODE4STRUCT](https://github.com/xingyaoww/code4struct) |
- Autoregressive Structured Prediction with Language Models - augmented | EMNLP 2022 | [ASP](https://github.com/lyutyuh/ASP) |
- Text-to-Text Extraction and Verbalization of Biomedical Event Graphs - linearized | COLING 2022 | [BioT2E](https://github.com/disi-unibo-nlp/bio-ee-egv) |
- Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion - linearized | COLING 2022 | [KG-S2S](https://github.com/chenchens190009/KG-S2S) |
- A sequence-to-sequence approach for document-level relation extraction - based | BioNLP 2022 | [Seq2rel](https://github.com/johngiorgi/seq2rel) |
- Unified Structure Generation for Universal Information Extraction - linearized | ACL 2022 | [UIE](https://github.com/universal-ie/UIE) |
- Sequence-to-Sequence Knowledge Graph Completion and Question Answering - linearized | ACL 2022 | [KGT5](https://github.com/apoorvumang/kgt5) |
- Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction - based | ACL 2022 | [PAIE](https://github.com/mayubo2333/PAIE) |
- De-Bias for Generative Extraction in Unified NER Task - linearized | ACL 2022 | - |
- DeepStruct: Pretraining of Language Models for Structure Prediction - linearized | ACL 2022 | [DeepStruct](https://github.com/cgraywang/deepstruct) |
- Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction - based | ACL 2022 | [X-GEAR](https://github.com/PlusLabNLP/X-Gear) |
- Dynamic Prefix-Tuning for Generative Template-based Event Extraction - based | ACL 2022 | - |
- ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification - based | ACL 2022 | - |
- Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning - linearized | ACL 2022 | [HuSe-Gen](https://github.com/swarnaHub/ExplagraphGen) |
- Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking - linearized | ACL 2022 | [EPGEL](https://github.com/laituan245/EL-Dockers/) |
- From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer - linearized | WWW 2022 | [GenKGC](https://github.com/zjunlp/PromptKG/tree/main/research/GenKGC) |
- SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning - linearized | EMNLP 2022 | - |
- REBEL: Relation Extraction By End-to-end Language generation - linearized | EMNLP 2021 | [REBEL](https://github.com/babelscape/rebel) |
- Document-level Entity-based Extraction as Template Generation - based | EMNLP 2021 | [TEMPGEN](https://github.com/PlusLabNLP/TempGen) |
- DEGREE: A Data-Efficient Generation-Based Event Extraction Model - based | NAACL 2022 | [DEGREE](https://github.com/PlusLabNLP/DEGREE) |
- HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction - linearized | ACL 2021 | [HySPA](https://github.com/renll/HySPA) |
- Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction - linearized | ACL 2021 | [Text2Event](https://github.com/luyaojie/text2event) |
- Template Filling with Generative Transformers - based | NAACL 2021 | [GTT](https://github.com/xinyadu/gtt) |
- A Unified Generative Framework for Aspect-based Sentiment Analysis - based | ACL 2021 | [BARTABSA](https://github.com/yhcc/BARTABSA) |
- A Unified Generative Framework for Various NER Subtasks - based | ACL 2021 | [BARTNER](https://github.com/yhcc/BARTNER) |
- GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction - based | EACL2021 | [GRIT](https://github.com/xinyadu/grit_doc_event_entity) |
- Document-Level Event Argument Extraction by Conditional Generation - based | NAACL 2021 | [BART-Gen](https://github.com/raspberryice/gen-arg) |
- Structured Prediction as Translation between Augmented Natural Languages - augmented | ICLR 2021 | [TANL](https://github.com/amazon-research/tanl) |
- Intent Classification and Slot Filling for Privacy Policies - linearized | ACL 2021 | [PolicyIE](https://github.com/wasiahmad/PolicyIE) |
- Autoregressive Entity Retrieval - augmented | ICLR 2021 | [GENRE](https://github.com/facebookresearch/GENRE) |
- Augmented Natural Language for Generative Sequence Labeling - augmented | EMNLP 2020 | - |
- Contrastive Information Extraction With Generative Transformer - linearized | TASLP 2021 | - |
- Don’t Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing - based | WWW 2022 | - |
- CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning - based | AAAI 2020 | [CopyMTL](https://github.com/WindChimeRan/CopyMTL) |
- Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction - based | AAAI 2020 | [PNDec](https://github.com/nusnlp/PtrNetDecoding4JERE) |
- Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning - based | EMNLP 2019 | - |
- Neural Architectures for Nested NER through Linearization - linearized | ACL 2019 | - |
- Exploring Sequence-to-Sequence Learning in Aspect Term Extraction - linearize | ACL 2019 | - |
- COMET: Commonsense Transformers for Automatic Knowledge Graph Construction - based | ACL 2019 | [COMET](https://github.com/atcbosselut/comet-commonsense) |
- Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism - based | ACL 2018 | - |
Programming Languages
Keywords
natural-language-processing
2
relation-extraction
2
knowledge-graph
2
pytorch
2
nlp
2
knowledge-editing
1
gpt
1
efficient
1
easyedit
1
chatgpt
1
baichuan
1
artificial-intelligence
1
prompt
1
ner
1
named-entity-recognition
1
multi-modal
1
low-resource
1
lightner
1
knowprompt
1
kg
1
instructie
1
information-extraction
1
few-shot
1
document-level
1
deepke
1
deep-learning
1
chinese
1
attribute-extraction
1
retroprompt
1
retrievalre
1
retrieval-augmented
1
question-answering
1
promptkg
1
prompt-tuning
1
paper-list
1
paper
1
link-prediction
1
lambdakg
1
knowledge-informed-prompt-learning
1
genkgc
1
dialogue
1
demo-tuning
1
awsome-list
1
unlearning
1
trustworthy-ai
1
tool
1
safeedit
1
open-source-project
1
model-editing
1
mmedit
1