Pablo N. Mendes

Artificial Intelligence · 2005–2016

A researcher in the Science corpus: 7 papers; trusts 13 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #8,780 of 35,345 by trust here, #4,888 by citations
• Information Systems — 17 citations into it; #1,737 of 8,771 by trust here, #1,964 by citations
• Communication — 14 citations into it; #3,288 of 3,460 by trust here, #273 by citations
• Natural Language Processing — 11 citations into it; #5,050 of 5,688 by trust here, #4,032 by citations
• Management Science and Operations Research — 7 citations into it
• Information Retrieval & Search — 6 citations into it; #837 of 1,022 by trust here, #916 by citations

Whom Pablo N. Mendes trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chin-Yew Lin
2. Christian Bizer
3. Gerard A. Salton
4. N. Sloane
5. David N. Milne
6. Heng Ji
7. Christopher Olston
8. Silviu Cucerzan
9. Eduard H. Hovy
10. Paolo Ferragina

Who trusts Pablo N. Mendes overall

1. Heiko Paulheim
2. Sarasi Lalithsena
3. Petar Ristoski
4. Andrew Chisholm
5. Michael Röder
6. Qianwen Wang
7. Nadine Steinmetz
8. Nikolaos Kolitsas
9. Xiao Ling
10. Amrapali Zaveri

Papers from Pablo N. Mendes's perspective

Ordered by how strongly the researchers Pablo N. Mendes trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning to link with wikipedia
2. Using Encyclopedic Knowledge for Named entity Disambiguation (Conference of the European Chapter of the Association for Computational Linguistics)
3. Local and Global Algorithms for Disambiguation to Wikipedia
4. Large-Scale Named Entity Disambiguation Based on Wikipedia Data (Conference on Empirical Methods in Natural Language Processing)
5. Distributional Structure
6. DBpedia - A crystallization point for the Web of Data
7. Linked Data - The Story So Far (International Journal on Semantic Web and Information Systems (IJSWIS))
8. Automatically refining the wikipedia infobox ontology (The Web Conference)
9. Collective annotation of Wikipedia entities in web text (Knowledge Discovery and Data Mining)
10. YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia

Their papers

• DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia (2015) — 3,616 citations
• Improving efficiency and accuracy in multilingual entity extraction (2013) — 590 citations
• DBpedia spotlight: shedding light on the web of documents (2011) — 1,360 citations
• Implicit Entity Linking in Tweets (2016) — 31 citations
• DBpedia: A Multilingual Cross-domain Knowledge Base (2012) — 217 citations
• Sieve: linked data quality assessment and fusion (2012) — 312 citations
• Virtual Footprint and PRODORIC: an integrative framework for regulon prediction in prokaryotes (2005) — 410 citations