Roberto Basili

4.0k citations
157 papers · 1.8k · h-index 22

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Semantic Web and Ontologies
    • Text and Document Classification Technologies
    • Speech and dialogue systems
    • Sentiment Analysis and Opinion Mining

Papers in

    • Natural Language Processing Techniques 100
    • Topic Modeling 90
    • Semantic Web and Ontologies 32
    • Speech and dialogue systems 31
    • Text and Document Classification Technologies 21
    • Advanced Text Analysis Techniques 15
    • Sentiment Analysis and Opinion Mining 9

Roberto Basili

137 papers receiving 1.7k citations

Peers

Roberto Basili
Comparison fields: 5 of 112
  • Artificial Intelligence 1.6k
  • Information Systems 338
  • Signal Processing 117
  • Computer Vision and Pattern Recognition 221
  • Language and Linguistics 57
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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-authors

The 25 scholars most cited alongside Roberto Basili, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Basili Line = papers co-authored together Roberto Basili links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification
2007126
2 2020108
3 200895
4
Structured Lexical Similarity via Convolution Kernels on Dependency Trees
201186
5 201660
6 200651
7 200150
8
A context-based model for Sentiment Analysis in Twitter
201442
9
Classification of musical genre: a machine learning approach.
200440
10 200638
11 200837
12 200235
13 201532
14 199627
15
A Contrastive Approach to Term Extraction
200127
16
KELP: a Kernel-based Learning Platform
201826
17 200524
18 200524
19
A Semantic Kernel to classify texts with very few training examples
200624
20
Textual Inference and Meaning Representation in Human Robot Interaction
201323

About Roberto Basili

Roberto Basili is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Language and Linguistics, 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), Semantic Web and Ontologies (32 papers), Speech and dialogue systems (31 papers), Text and Document Classification Technologies (21 papers), Advanced Text Analysis Techniques (15 papers), Multimodal Machine Learning Applications (11 papers) and Sentiment Analysis and Opinion Mining (9 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Information Systems (338 citations), Signal Processing (117 citations), Computer Vision and Pattern Recognition (221 citations) and Language and Linguistics (57 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 Language Resources and Evaluation, Computational Linguistics, Natural Language Engineering, Artificial Intelligence and Applied Artificial Intelligence.

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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