Results 31 to 40 of about 1,142,269 (203)
Entity Linking on Chinese Microblogs via Deep Neural Network
Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
doaj +1 more source
OGER++: hybrid multi-type entity recognition
Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer +3 more
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Integrating various resources for gene name normalization. [PDF]
The recognition and normalization of gene mentions in biomedical literature are crucial steps in biomedical text mining. We present a system for extracting gene names from biomedical literature and normalizing them to gene identifiers in databases.
Yuncui Hu +4 more
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An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of
Ahmed Aliwy, Ayad Abbas, Ahmed Alkhayyat
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DBpedia Spotlight: Shedding Light on the Web of Documents [PDF]
Interlinking text documents with Linked Open Data enables the Web of Data to be used as background knowledge within document-oriented applications such as search and faceted browsing. As a step towards interconnecting the Web of Documents with the Web of
Andrés García-Silva +8 more
core +1 more source
An automatically built named entity lexicon for Arabic [PDF]
We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed +4 more
core +2 more sources
Finding Nineteenth-century Berry Spots
The paper studies and improves methods of named entity recognition (NER) and linking (NEL) for facilitating historical research, which uses digitized newspaper texts. The specific focus is on a study about historical process of commodification.
Matti La Mela +2 more
doaj +1 more source
The Arabic text can be translated into English using a variety of machine translation techniques. The translation of Arabic text into English still poses a number of challenges in contemporary Arabic.
Shahab Ahmad Almaaytah +1 more
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Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity [PDF]
In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Turney, Peter +8 more
core +1 more source
Cluster-based mention typing for named entity disambiguation [PDF]
AbstractAn entity mention in text such as “Washington” may correspond to many different named entities such as the city “Washington D.C.” or the newspaper “Washington Post.” The goal of named entity disambiguation (NED) is to identify the mentioned named entity correctly among all possible candidates.
Arda Çelebi, Arzucan Özgür
openaire +2 more sources

