Tommaso Caselli
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Hate Speech and Cyberbullying Detection
- Speech and dialogue systems
Papers in
-
- Natural Language Processing Techniques 44
- Topic Modeling 38
- Semantic Web and Ontologies 16
- Advanced Text Analysis Techniques 12
- Hate Speech and Cyberbullying Detection 12
- Sentiment Analysis and Opinion Mining 11
- Speech and dialogue systems 7
- Co-authors
- James PustejovskyPiek VossenR. Supyan SauriMarc VerhagenIrene RussoValerio BasileMarianna BolognesiMichael Granitzer
- Journals
- Language Resources and Evaluation (9 papers)Applied Ontology (1 paper)Behavior Research Methods (1 paper)First Monday (1 paper)European Journal of Radiology (1 paper)
- Partner nations
- NetherlandsItalyUnited States
In The Last Decade
Tommaso Caselli
66 papers receiving 610 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 630
- Communication 32
- Information Systems 77
- Signal Processing 34
- Computer Science Applications 17
Countries citing papers authored by Tommaso Caselli
This map shows the geographic impact of Tommaso Caselli'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 Tommaso Caselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommaso Caselli more than expected).
Fields of papers citing papers by Tommaso Caselli
This network shows the impact of papers produced by Tommaso Caselli. 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 Tommaso Caselli. The network helps show where Tommaso Caselli may publish in the future.
Co-authors
The 25 scholars most cited alongside Tommaso Caselli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 0 | |
| 5 | I Feel Offended, Don’t Be Abusive!: Implicit/Explicit Messages in Offensive and Abusive Language | 2020 | 56 |
| 6 | ProTestA: Identifying and Extracting Protest Events in News Notebook for ProtestNews Lab at CLEF 2019 | 2019 | 1 |
| 7 | Proceedings of the Workshop Events and Stories in the News 2018 | 2018 | 7 |
| 8 | 2018 | 2 | |
| 9 | Source-driven Representations for Hate Speech Detection. | 2018 | 2 |
| 10 | NLP and Public Engagement: The Case of the Italian School Reform | 2016 | 1 |
| 11 | Contextualizing Receptions of World Literature by Mining Multilingual Wikipedias. | 2016 | 1 |
| 12 | Temporal Information Annotation: Crowd vs. Experts | 2016 | 3 |
| 13 | 2015 | 20 | |
| 14 | Assigning Connotation Values to Events | 2012 | 2 |
| 15 | Data-Driven Approach Using Semantics for Recognizing and Classifying TimeML Events in Italian | 2011 | 3 |
| 16 | EMOCause: An Easy-adaptable Approach to Extract Emotion Cause Contexts | 2011 | 22 |
| 17 | Annotating Event Anaphora: A Case Study. | 2010 | 2 |
| 18 | Using a generative lexicon resource to compute bridging anaphora in Italian | 2009 | 3 |
| 19 | A Bilingual Corpus of Inter-linked Events | 2008 | 2 |
| 20 | Annotating Bridging Anaphors in Italian: in Search of Reliability | 2006 | 4 |
About Tommaso Caselli
Tommaso Caselli is a scholar working on Artificial Intelligence, Communication, Health Informatics, General Social Sciences and Computer Science Applications, having authored 75 papers that have together received 690 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (44 papers), Topic Modeling (38 papers), Semantic Web and Ontologies (16 papers), Advanced Text Analysis Techniques (12 papers), Hate Speech and Cyberbullying Detection (12 papers), Sentiment Analysis and Opinion Mining (11 papers), Speech and dialogue systems (7 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (630 citations), Communication (32 citations), Information Systems (77 citations), Signal Processing (34 citations) and Computer Science Applications (17 citations). Tommaso Caselli has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include James Pustejovsky, Piek Vossen, R. Supyan Sauri, Marc Verhagen, Irene Russo, Valerio Basile, Marianna Bolognesi, Michael Granitzer, Francesco Rubino and Jelena Mitrović. Their work appears in journals such as Language Resources and Evaluation, Applied Ontology, Behavior Research Methods, First Monday and European Journal of Radiology.
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.