Results 251 to 260 of about 816,756 (278)

Exploiting Entity Linking in Queries for Entity Retrieval

Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval, 2016
The premise of entity retrieval is to better answer search queries by returning specific entities instead of documents. Many queries mention particular entities; recognizing and linking them to the corresponding entry in a knowledge base is known as the task of entity linking in queries.
Faegheh Hasibi, Krisztian Balog, Svein Erik Bratsberg   +2 more
openaire   +2 more sources

From linked data to linked entities

Proceedings of the 21st International Conference on World Wide Web, 2012
Entities have been deserved special attention in the latest years, however their identification is still troublesome. Existing approaches exploit ad hoc services or centralized architectures. In this paper we present a novel approach to recognize naturally emerging entity identifiers built on top of Linked Data concepts and protocols.
Bartolomeo, G, SALSANO, STEFANO DOMENICO
openaire   +3 more sources

ELES: Combining Entity Linking and Entity Summarization

2016
The automatic annotation of textual content with entities from a knowledge base is a well established field. Applications, such as DBpedia Spotlight and GATE enable to identify and disambiguate entities of text at high levels of accuracy. The output of such systems can be used in many different ways.
Andreas Thalhammer 0001, Achim Rettinger
openaire   +2 more sources

Language Independent Entity Linking

2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018
Entity linking is the task of determining the identity of entities mentioned in text with entities in an existed database. Most previous Entity Linking research required training data with applied on a target language, while training data may be costing on some languages. In the paper, we purposed a language independent entity linking system, which can
Lei Ding 0012, Bin Dong 0003
openaire   +1 more source

Entity Linking for Spoken Language

Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2015
Research on entity linking has considered a broad range of text, including newswire, blogs and web documents in multiple languages. However, the problem of entity linking for spoken language remains unexplored. Spoken language obtained from automatic speech recognition systems poses different types of challenges for entity linking; transcription errors
Adrian Benton, Mark Dredze
openaire   +1 more source

Learning to Collectively Link Entities

Proceedings of the 3rd IKDD Conference on Data Science, 2016, 2016
Recently Kulkarni et al. [20] proposed an approach for collective disambiguation of entity mentions occurring in natural language text. Their model achieves disambiguation by efficiently computing exact MAP inference in a binary labeled Markov Random Field.
Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan   +4 more
openaire   +1 more source

ZhishiLink: Entity Linking on Zhishi.me

2013
Entity linking, which aims to find entities in given text, plays an important role in the trend of shifting from Web of documents to Web of knowledge. In this paper, we present ZhishiLink, an entity linking system targeting the largest Chinese linked open data - zhishi.me.
Chenyang Wu 0002, Haofen Wang, Jun Qu, Yong Yu 0001   +3 more
openaire   +1 more source

Entity linking on graph data

Proceedings of the 23rd International Conference on World Wide Web, 2014
With the emergence of massive information networks, graph data have become ubiquitous for various applications. Although many graph processing problems have been studied recently, entity linking on graph data has not received enough attention by the academia and industry, which finds vertex pairs that refer to the same entity from two graphs. There are
openaire   +1 more source

A coarse-to-fine collective entity linking method for heterogeneous information networks

Knowledge-Based Systems, 2021
Chenyang Bu, Peipei Li, Xindong Wu
exaly  

Large-scale neural biomedical entity linking with layer overwriting

Journal of Biomedical Informatics, 2023
Makoto Miwa, Yutaka Sasaki
exaly