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KnowPrompt

6 papers tagged archive 2025-07-28

Introduced by Xiang Chen et al. in KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

KnowPrompt is a prompt-tuning approach for relational understanding. It injects entity and relation knowledge into prompt construction with learnable virtual template words as well as answer words and synergistically optimize their representation with knowledge constraints. To be specific, TYPED MARKER is utilized around entities initialized with aggregated entity-type embeddings as learnable virtual template words to inject entity type knowledge. The average embeddings of each token are leveraged in relation labels as virtual answer words to inject relation knowledge. Since there exist implicit structural constraints among entities and relations, and virtual words should be consistent with the surrounding contexts, synergistic optimization is introduced to obtain optimized virtual templates and answer words. Concretely, a context-aware prompt calibration method is used with implicit structural constraints to inject structural knowledge implications among relational triples and associate prompt embeddings with each other.

Paper Source

Papers archive 2025-07-28

6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Exploring Prompting Large Language Models as Explainable Metrics
20 Nov 2023 · 1 repository · arXiv:2311.11552
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
29 May 2022 · 2 repositories · arXiv:2205.14704

Syntology ran 1 of 1 samples · 0 unverified
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
4 May 2022 · 1 repository · arXiv:2205.02355
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing
30 Apr 2022 · 1 repository · arXiv:2205.00258
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
10 Jan 2022 · 1 repository · arXiv:2201.03335
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
15 Apr 2021 · 1 repository · arXiv:2104.07650

Tasks archive 2025-07-28

20 shown of 23 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Relation Extraction	4
Few-Shot Learning	2
Memorization	2
Named Entity Recognition (NER)	2
Prompt Engineering	2
Relation	2
Retrieval	2
Attribute	1
Attribute Extraction	1
Cross-Domain Named Entity Recognition	1
Dialog Relation Extraction	1
Few-Shot Text Classification	1
Knowledge Base Population	1
Knowledge Distillation	1
Language Modeling	1
Language Modelling	1
Masked Language Modeling	1
Named Entity Recognition	1
Prompt Learning	1
Representation Learning	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (6 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Prompt Engineering

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