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pro vyhledávání: '"Maria Pershina"'
Autor:
Noa Kallioinen, Maria Pershina, Jannik Zeiser, Farbod Nosrat Nezami, Gordon Pipa, Achim Stephan, Peter König
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Self-driving cars have the potential to greatly improve public safety. However, their introduction onto public roads must overcome both ethical and technical challenges. To further understand the ethical issues of introducing self-driving cars, we co
Externí odkaz:
https://doaj.org/article/989e5d2dd0924f50a7b440f0faa9778d
Publikováno v:
IEEE BigData
Entity matching is the problem of determining if two entities in a data set refer to the same real-world object. In the last decade a growing number of large-scale knowledge bases have been created online. Tools for automatically aligning these sourc
Publikováno v:
HLT-NAACL
The task of Named Entity Disambiguation is to map entity mentions in the document to their correct entries in some knowledge base. We present a novel graph-based disambiguation approach based on Personalized PageRank (PPR) that combines local and glo
Publikováno v:
LSDSem@EMNLP
The goal of paraphrase identification is to decide whether two given text fragments have the same meaning. Of particular interest in this area is the identification of paraphrases among short texts, such as SMS and Twitter. In this paper, we present
Publikováno v:
ACL (2)
Distant supervision usually utilizes only unlabeled data and existing knowledge bases to learn relation extraction models. However, in some cases a small amount of human labeled data is available. In this paper, we demonstrate how a state-of-theart m