Countries citing papers authored by Daniele Pighin
Since
Specialization
Citations
This map shows the geographic impact of Daniele Pighin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniele Pighin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Pighin more than expected).
This network shows the impact of papers produced by Daniele Pighin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniele Pighin. The network helps show where Daniele Pighin may publish in the future.
Co-authorship network of co-authors of Daniele Pighin
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Pighin.
A scholar is included among the top collaborators of Daniele Pighin based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Daniele Pighin. Daniele Pighin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Özbal, Gözde, Daniele Pighin, & Carlo Strapparava. (2019). A proverb is worth a thousand words: learning to associate images with proverbs.. Cognitive Science. 2515–2521.
2.
Malmi, Eric, Daniele Pighin, Sebastian Krause, & Mikhail Kozhevnikov. (2018). Automatic prediction of discourse connectives. arXiv (Cornell University).9 indexed citations
Özbal, Gözde, Daniele Pighin, & Carlo Strapparava. (2013). BRAINSUP: Brainstorming Support for Creative Sentence Generation. Institutional Research Information System (Università degli Studi di Trento). 1446–1455.20 indexed citations
8.
Pighin, Daniele, et al.. (2012). The FAUST Corpus of Adequacy Assessments for Real-World Machine Translation Output. Language Resources and Evaluation. 29–35.4 indexed citations
9.
Pighin, Daniele, Lluı́s Màrquez, & Jonathan May. (2012). An Analysis (and an Annotated Corpus) of User Responses to Machine Translation Output. Language Resources and Evaluation. 1131–1136.4 indexed citations
10.
Pighin, Daniele, et al.. (2012). A graph-based strategy to streamline translation quality assessments. UPCommons institutional repository (Universitat Politècnica de Catalunya).3 indexed citations
11.
Pighin, Daniele, et al.. (2012). The UPC Submission to the WMT 2012 Shared Task on Quality Estimation. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 127–132.3 indexed citations
12.
Pighin, Daniele & Lluı́s Màrquez. (2011). Automatic Projection of Semantic Structures: an Application to Pairwise Translation Ranking. Meeting of the Association for Computational Linguistics. 1–9.7 indexed citations
13.
Pighin, Daniele & Alessandro Moschitti. (2010). On Reverse Feature Engineering of Syntactic Tree Kernels. Institutional Research Information System (Università degli Studi di Trento). 223–233.18 indexed citations
Cettolo, Mauro, Marcello Federico, Daniele Pighin, & Nicola Bertoldi. (2008). Shallow-Syntax Phrase-Based Translation: Joint versus Factored String-to-Chunk Models. Conference of the Association for Machine Translation in the Americas. 56–64.1 indexed citations
16.
Diab, Mona, Alessandro Moschitti, & Daniele Pighin. (2008). Semantic Role Labeling Systems for Arabic using Kernel Methods. Meeting of the Association for Computational Linguistics. 798–806.12 indexed citations
17.
Pighin, Daniele. (2007). FBK-IRST: Kernel methods for semantic relation extraction. Institutional Research Information System (Università degli Studi di Trento).1 indexed citations
Moschitti, Alessandro, Daniele Pighin, & Roberto Basili. (2006). Tree Kernel Engineering in Semantic Role Labeling Systems. Institutional Research Information System (Università degli Studi di Trento).8 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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