Matteo Negri

4.9k citations
144 papers · 2.1k indexed · h-index 28
Topics
Natural Language Processing Techniques (130 papers)Topic Modeling (106 papers)Semantic Web and Ontologies (24 papers)
Journals
SHILAP Revista de lepidopterologíaLanguage Resources and EvaluationJournal Of Big Data

In The Last Decade

Matteo Negri

135 papers receiving 1.8k citations

Peers

Matteo Negri
Comparison fields: 5 of 76
  • Artificial Intelligence 2.0k
  • Computer Vision and Pattern Recognition 271
  • Information Systems 252
  • Signal Processing 120
  • Molecular Biology 100
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Countries citing papers authored by Matteo Negri

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Negri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Negri

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Negri. A scholar is included among the top collaborators of Matteo Negri 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 Matteo Negri. Matteo Negri 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 1
2 4
3 5
4 6
5
ESCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing
32
6 46
7
Quality Estimation for Automatic Speech Recognition
20
8
THE MATECAT TOOL
37
9
Automatic Annotation of Machine Translation Datasets with Binary Quality Judgements
3
10
Coping with the Subjectivity of Human Judgements in MT Quality Estimation
22
11
Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization
42
12
Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization
17
13
An Open-Source Package for Recognizing Textual Entailment
29
14
FBK Participation in RTE6: Main and KBP Validation Task.
5
15
I-CAB: the Italian Content Annotation Bank
27
16
Reconstructing DIOGENE: ITC-irst at TREC 2006.
0
17
From Text to Knowledge for the Semantic Web: the ONTOTEXT Project.
1
18
ITC-irst at TREC-2003: the DIOGENE QA system
6
19
Towards Automatic Evaluation of Question/Answering Systems
3
20
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002.
9

About Matteo Negri

Matteo Negri is a scholar working on Artificial Intelligence, Language and Linguistics and Signal Processing, having authored 144 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (130 papers), Topic Modeling (106 papers) and Semantic Web and Ontologies (24 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (271 citations) and Information Systems (252 citations). Matteo Negri has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Marco Turchi, Marcello Federico, Yashar Mehdad, Luisa Bentivogli, Mattia Antonino Di Gangi, Rajen Chatterjee, Bernardo Magnini, Roldano Cattoni, José G. C. de Souza and Hristo Tanev. Their work appears in journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Journal Of Big Data.

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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