Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bunyamin Sisman"'
Publikováno v:
2021 IEEE International Conference on Big Knowledge (ICBK).
Publikováno v:
ACL/IJCNLP (1)
Integrating extracted knowledge from the Web to knowledge graphs (KGs) can facilitate tasks like question answering. We study relation integration that aims to align free-text relations in subject-relation-object extractions to relations in a target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::754f27b2630e93759641a2372a275647
Publikováno v:
WWW
Knowledge graph (e.g. Freebase, YAGO) is a multi-relational graph representing rich factual information among entities of various types. Entity alignment is the key step towards knowledge graph integration from multiple sources. It aims to identify e
Publikováno v:
ICDM
Entity linkage (EL) is a critical problem in data cleaning and integration. In the past several decades, EL has typically been done by rule-based systems or traditional machine learning models with hand-curated features, both of which heavily depend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8322b64dd497c2d03fed602ccd1e790
Publikováno v:
WSDM
Entity matching seeks to identify data records over one or multiple data sources that refer to the same real-world entity. Virtually every entity matching task on large datasets requires blocking, a step that reduces the number of record pairs to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff08f83c5192b5208b2912d9c82b45d9
Estimation of the accuracy of a large-scale knowledge graph (KG) often requires humans to annotate samples from the graph. How to obtain statistically meaningful estimates for accuracy evaluation while keeping human annotation costs low is a problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::991a8a645e5e9d096a42e985776b20e6
Publikováno v:
ACL (1)
Knowledge graphs have emerged as an important model for studying complex multi-relational data. This has given rise to the construction of numerous large scale but incomplete knowledge graphs encoding information extracted from various resources. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe3616a07f458182155fcf9a942d7c9d
http://arxiv.org/abs/1807.08447
http://arxiv.org/abs/1807.08447
Publikováno v:
CSMR-WCRE
As software systems continue to grow and evolve, locating code for software maintenance tasks becomes increasingly difficult. Recently proposed approaches to bug localization and feature location have suggested using the positional proximity of words
Autor:
Avinash C. Kak, Bunyamin Sisman
Publikováno v:
MSR
Source code retrieval plays an important role in many software engineering tasks. However, designing a query that can accurately retrieve the relevant software artifacts can be challenging for developers as it requires a certain level of knowledge an