Ugo Scaiella
Artificial Intelligence · 2010
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #3,629 of 35,345 by trust here, #11,192 by citations
- Information Systems — 12 citations into it; #599 of 8,771 by trust here, #2,145 by citations
- Communication — 9 citations into it; #80 of 3,460 by trust here, #577 by citations
Whom Ugo Scaiella trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Evgeniy Gabrilovich
- David N. Milne
- Shaul Markovitch
- Chaomei Chen
- Paolo Ferragina
- Rada Mihalcea
- Ian H. Witten
- Somnath Banerjee
- Andras Csomai
- Antonio Gullì
Who trusts Ugo Scaiella overall
- Chenyan Xiong
- Mandar Joshi
- Jamie Callan
- Paolo Ferragina
- Marco Cornolti
- Chen Zhao
- Faezeh Ensan
- Jonathan Raiman
- Andrew Chisholm
- Francesco Piccinno
Papers from Ugo Scaiella's perspective
Ordered by how strongly the researchers Ugo Scaiella trusts endorse each paper. Same corpus, a different order for every researcher.
- Feature Generation for Text Categorization Using World Knowledge (International Joint Conference on Artificial Intelligence)
- Clustering short texts using wikipedia (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
- Wikipedia-based Semantic Interpretation for Natural Language Processing (Journal of Artificial Intelligence Research)
- A survey of Web clustering engines (CSUR)
- TAGME: on-the-fly annotation of short text fragments (by wikipedia entities)
- An effective, low-cost measure of semantic relatedness obtained from Wikipedia links
- Review of "Mining the Web: discovering knowledge from hypertext data" by Soumen Chakrabati. Morgan Kaufman 2003. (SIGF)
- Computing Semantic Relatedness Using Wikipedia-based Explicit Semantic Analysis
- Placing search in context: the concept revisited
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
Their papers
- Fast and Accurate Annotation of Short Texts with Wikipedia Pages (2010) — 284 citations
- TAGME: on-the-fly annotation of short text fragments (by wikipedia entities) (2010) — 879 citations