Strategies for lifelong knowledge extraction from the web
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Summary
Alice, a lifelong learning agent whose goal is to automatically discover a collection of concepts, facts and generalizations that describe a particular topic of interest directly from a large volume of Web text, is introduced.
- Type
- article
- Published
- 2007-10-28
- Cited by
- 82
- References
- 18
- Access
- Open access
- OpenAlex
- https://openalex.org/W2068431743
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:18301907
Keywords
Computer science, Lifelong learning, Leverage (statistics), Information extraction, Knowledge extraction
References
- A Probabilistic Model of Redundancy in Information Extraction
- CHILD: A First Step Towards Continual Learning
- Lifelong robot learning
- Extracting and evaluating general world knowledge from the Brown Corpus
- Class-Based Probability Estimation Using a Semantic Hierarchy
- Preemptive Information Extraction using Unrestricted Relation Discovery
- YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia
- Learning theories from text
- Some methods for classification and analysis of multivariate observations
- Open Information Extraction from the Web
- Unsupervised named-entity extraction from the Web: An experimental study
- Machine Reading
- Open information extraction from the web
- Layered Learning
- Automated Theory Formation in Mathematics
- Lifelong Learning Algorithms
Cited by
- Ontology-based knowledge discovery from unstructured and semi-structured text
- Topic Models for Corpus-centric Knowledge Generalization
- Automatic extraction and assessment of entities from the Web
- Wissensextraktion im Rahmen des Grids
- Coupled semi-supervised learning
- Toward an Architecture for Never-Ending Language Learning
- DBrev: Dreaming of a Database Revolution
- Learning through overcoming temporal inconsistencies
- Searching and ranking in entity-relationship graphs
- Machine Reading at the University of Washington
- REFRACTIVE: An Open Source Tool to Extract Knowledge from Syntactic and Semantic Relations
- Learning through explaining observed inconsistencies
- Never-ending ontology extension through machine reading
- Multilingual Distant Supervised Relation Extractors Combining Multiple Feature Types
- Deriving Generalized Knowledge from Corpora Using WordNet Abstraction
- Perpetual Learning through Overcoming Inconsistencies
- How to read the web in portuguese using the never-ending language learner's principles
- Filtering and clustering relations for unsupervised information extraction in open domain
- A new approach to the design of knowledge base using XCLS clustering
- Machine reading of web text
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