Knowledge Base Population
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Benchmarks
LM-KBC 2023
Most implemented
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
Zero-shot Slot Filling with DPR and RAG
Information Extraction of Clinical Trial Eligibility Criteria
Position-aware Attention and Supervised Data Improve Slot Filling
Joint Matrix-Tensor Factorization for Knowledge Base Inference
Textual Entailment for Effective Triple Validation in Object Prediction
Papers
Autoregressive Language Models for Knowledge Base Population: A case study in the space mission domain
Knowledge base population KBP plays a crucial role in populating and maintaining knowledge bases up-to-date in organizations by leveraging domain corpora. Motivated by the increasingly large context windows supported by …
Knowledge Base PopulationLanguage ModelingLanguage ModellingTextual Entailment for Effective Triple Validation in Object Prediction
Knowledge base population seeks to expand knowledge graphs with facts that are typically extracted from a text corpus. Recently, language models pretrained on large corpora have been shown to contain factual knowledge th…
Knowledge Base PopulationKnowledge GraphsLanguage ModelingLanguage Modelling+4Expanding the Vocabulary of BERT for Knowledge Base Construction
Knowledge base construction entails acquiring structured information to create a knowledge base of factual and relational data, facilitating question answering, information retrieval, and semantic understanding. The chal…
Knowledge Base ConstructionKnowledge Base PopulationLanguage ModelingLanguage Modelling+3CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base Population
Commonsense Knowledge Bases (CSKB) Population, which aims at automatically expanding knowledge in CSKBs with external resources, is an important yet hard task in NLP. Fang et al. (2021a) proposed a CSKB Population (CKBP)…
Knowledge Base PopulationQuestion AnsweringPseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
Commonsense Knowledge Base (CSKB) Population aims at reasoning over unseen entities and assertions on CSKBs, and is an important yet hard commonsense reasoning task. One challenge is that it requires out-of-domain genera…
Domain GeneralizationKnowledge Base PopulationEA^2E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
Events are inter-related in documents. Motivated by the one-sense-per-discourse theory, we hypothesize that a participant tends to play consistent roles across multiple events in the same document. However recent work on…
Event Argument ExtractionKnowledge Base PopulationQuestion Answering