Roberto Basili

4.0k citations
157 papers · 1.8k indexed · h-index 22
Topics
Natural Language Processing Techniques (100 papers)Topic Modeling (90 papers)Semantic Web and Ontologies (32 papers)

In The Last Decade

Roberto Basili

137 papers receiving 1.7k citations

Peers

Roberto Basili
Comparison fields: 5 of 112
  • Artificial Intelligence 1.6k
  • Information Systems 338
  • Computer Vision and Pattern Recognition 221
  • Signal Processing 117
  • Molecular Biology 99
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Basili

Since Specialization
Citations

This map shows the geographic impact of Roberto Basili'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 Roberto Basili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Basili more than expected).

Fields of papers citing papers by Roberto Basili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Basili. 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 Roberto Basili. The network helps show where Roberto Basili may publish in the future.

Co-authorship network of co-authors of Roberto Basili

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Basili. A scholar is included among the top collaborators of Roberto Basili 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 Roberto Basili. Roberto Basili 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
#WorkIndexed citations
1 0
2 4
3 13
4 4
5 1
6 2
7
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
11
8
UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
6
9
Grammatical feature engineering for fine-grained IR tasks
4
10
UNITOR: Combining Semantic Text Similarity functions through SV Regression
7
11
Structured Lexical Similarity via Convolution Kernels on Dependency Trees
86
12
Robust and Efficient Page Rank for Word Sense Disambiguation
6
13
A Tree Kernel approach to Question and Answer Classification in Question Answering Systems
15
14
Structured Kernels for the Automatic Detection of Protein Active Sites
0
15
Acquisition of domain conceptual dictionaries via decision tree learning
1
16
Empirical investigation of fast text classification over linguistic features
1
17
Modelling the syntactic contextual information for term extraction
6
18
Adaptive parsing for time-constrained tasks
1
19
Inducing Terminology for Lexical Acquisition
8
20
Integrating general-purpose and corpus-based verb classification
9

About Roberto Basili

Roberto Basili is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 157 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (100 papers), Topic Modeling (90 papers) and Semantic Web and Ontologies (32 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Information Systems (338 citations) and Signal Processing (117 citations). Roberto Basili has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Danilo Croce, Alessandro Moschitti, Maria Teresa Pazienza, Giuseppe Castellucci, Paola Velardi, Daniele Pighin, Fabio Massimo Zanzotto, Simone Filice, Suresh Manandhar and Silvia Quarteroni. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of the New York Academy of Sciences and Expert Systems with Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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