Machine knowledge: Creation and curation of comprehensive knowledge bases
Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
Relation extraction using distant supervision: A survey
Relation extraction is a subtask of information extraction where semantic relationships are
extracted from natural language text and then classified. In essence, it allows us to acquire …
extracted from natural language text and then classified. In essence, it allows us to acquire …
Dbpedia–a large-scale, multilingual knowledge base extracted from wikipedia
The DBpedia community project extracts structured, multilingual knowledge from Wikipedia
and makes it freely available on the Web using Semantic Web and Linked Data …
and makes it freely available on the Web using Semantic Web and Linked Data …
[PDF][PDF] Distant supervision for relation extraction without labeled data
Modern models of relation extraction for tasks like ACE are based on supervised learning of
relations from small hand-labeled corpora. We investigate an alternative paradigm that does …
relations from small hand-labeled corpora. We investigate an alternative paradigm that does …
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
We present an automatic approach to the construction of BabelNet, a very large, wide-
coverage multilingual semantic network. Key to our approach is the integration of …
coverage multilingual semantic network. Key to our approach is the integration of …
Open information extraction from the web
Open information extraction from the web Page 1 68 communications of the acm | december
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …
[PDF][PDF] Leveraging linguistic structure for open domain information extraction
G Angeli, MJJ Premkumar… - Proceedings of the 53rd …, 2015 - aclanthology.org
Relation triples produced by open domain information extraction (open IE) systems are
useful for question answering, inference, and other IE tasks. Traditionally these are extracted …
useful for question answering, inference, and other IE tasks. Traditionally these are extracted …
Modeling relations and their mentions without labeled text
Several recent works on relation extraction have been applying the distant supervision
paradigm: instead of relying on annotated text to learn how to predict relations, they employ …
paradigm: instead of relying on annotated text to learn how to predict relations, they employ …
[PDF][PDF] Knowledge-based weak supervision for information extraction of overlap** relations
Abstract Information extraction (IE) holds the promise of generating a large-scale knowledge
base from the Web's natural language text. Knowledge-based weak supervision, using …
base from the Web's natural language text. Knowledge-based weak supervision, using …
Learning classifiers from only positive and unlabeled data
C Elkan, K Noto - Proceedings of the 14th ACM SIGKDD international …, 2008 - dl.acm.org
The input to an algorithm that learns a binary classifier normally consists of two sets of
examples, where one set consists of positive examples of the concept to be learned, and the …
examples, where one set consists of positive examples of the concept to be learned, and the …