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researcher

G. Gesese

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedSemantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction

4 citations · 5 across the 2 of their papers we have counts for

collaborators

3 papers

cs.AI2020★ 1 cited

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71

One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…

cs.CL2020★ 4 cited

Semantic Entity Enrichment by Leveraging Multilingual Descriptions for Link Prediction

Genet Asefa Gesese, Mehwish Alam, Harald Sack

Most Knowledge Graphs (KGs) contain textual descriptions of entities in various natural languages. These descriptions of entities provide valuable information that may not be expli…

cs.AI2019

A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?

Genet Asefa Gesese, Russa Biswas, Mehwish Alam +1

Knowledge Graphs (KGs) are composed of structured information about a particular domain in the form of entities and relations. In addition to the structured information KGs help in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.