Knowledge Base Population
32 papers with code • 1 benchmarks • 3 datasets
Knowledge base population is the task of filling the incomplete elements of a given knowledge base by automatically processing a large corpus of text.
Benchmarks
These leaderboards are used to track progress in Knowledge Base Population
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Perlex
FarsBase-KBP
Latest papers
Knowledge Base Completion: Baseline strikes back (Again)
Most existing methods train with a small number of negative samples for each positive instance in these datasets to save computational costs.
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
diffbot/knowledge-net
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IJCNLP 2019
KnowledgeNet is a benchmark dataset for the task of automatically populating a knowledge base (Wikidata) with facts expressed in natural language text on the web.
Who Sides with Whom? Towards Computational Construction of Discourse Networks for Political Debates
Understanding the structures of political debates (which actors make what claims) is essential for understanding democratic political decision making.
The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation
We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e. g., concept linking, fact linking, knowledge base population, semantic frame annotation).
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
In this work, we propose a model which alleviates the need for such disambiguators by jointly learning NER and MD taggers in languages for which one can provide a list of candidate morphological analyses.
Adversarial Feature Adaptation for Cross-lingual Relation Classification
zoubowei/feature_adaptation4RC
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COLING 2018
In this paper, we come up with a feature adaptation approach for cross-lingual relation classification, which employs a generative adversarial network (GAN) to transfer feature representations from one language with rich annotated data to another language with scarce annotated data.
Discovering Implicit Knowledge with Unary Relations
State-of-the-art relation extraction approaches are only able to recognize relationships between mentions of entity arguments stated explicitly in the text and typically localized to the same sentence.
Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision
State-of-the-art knowledge base completion (KBC) models predict a score for every known or unknown fact via a latent factorization over entity and relation embeddings.
A Dataset for Web-Scale Knowledge Base Population
Knowledge Base Population (KBP) is the task of building or extending a knowledge base from text, and systems for KBP have grown in capability and scope.
