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pro vyhledávání: '"FISHER, JOSEPH"'
Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). However, existing approaches for cIE suffer from two limitations: (i) they
Externí odkaz:
http://arxiv.org/abs/2404.12788
Background: Jojoba butter is cyanogenic and has gained attention among herbal supplement consumers due to claims that it may aid in weight loss. Jojoba butter is extracted from the seeds of jojoba shrubs found in the Sonoran Desert. The seeds have lo
Externí odkaz:
http://hdl.handle.net/10150/622913
http://arizona.openrepository.com/arizona/handle/10150/622913
http://arizona.openrepository.com/arizona/handle/10150/622913
We introduce ReFinED, an efficient end-to-end entity linking model which uses fine-grained entity types and entity descriptions to perform linking. The model performs mention detection, fine-grained entity typing, and entity disambiguation for all me
Externí odkaz:
http://arxiv.org/abs/2207.04108
Recent work in entity disambiguation (ED) has typically neglected structured knowledge base (KB) facts, and instead relied on a limited subset of KB information, such as entity descriptions or types. This limits the range of contexts in which entitie
Externí odkaz:
http://arxiv.org/abs/2207.04106
Autor:
Fisher, Joseph Andrew
It is often remarked that we are entering into a biotech age that will afford us with the unprecedented means to remake human biology. The question is: should we use our imminent techno-scientific powers to ‘enhance’ and even ‘transcend’ our
Autor:
Comeau, Charles P., Fisher, Joseph F.
International Telemetering Conference Proceedings / October 29-November 02, 1990 / Riviera Hotel and Convention Center, Las Vegas, Nevada
When video signals are transmitted in a telemetry system it is usually necessary to simultaneously transmit
When video signals are transmitted in a telemetry system it is usually necessary to simultaneously transmit
Externí odkaz:
http://hdl.handle.net/10150/613450
http://arizona.openrepository.com/arizona/handle/10150/613450
http://arizona.openrepository.com/arizona/handle/10150/613450
It has recently been shown that word embeddings encode social biases, with a harmful impact on downstream tasks. However, to this point there has been no similar work done in the field of graph embeddings. We present the first study on social bias in
Externí odkaz:
http://arxiv.org/abs/1912.02761
Autor:
Fisher, Joseph, Vlachos, Andreas
Publikováno v:
ACL 2019 P19-1585
Named entity recognition (NER) is one of the best studied tasks in natural language processing. However, most approaches are not capable of handling nested structures which are common in many applications. In this paper we introduce a novel neural ne
Externí odkaz:
http://arxiv.org/abs/1907.00464