Simone Filice

653 total citations
26 papers, 405 citations indexed

About

Simone Filice is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Simone Filice has authored 26 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 3 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Simone Filice's work include Topic Modeling (23 papers), Natural Language Processing Techniques (16 papers) and Text and Document Classification Technologies (6 papers). Simone Filice is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (16 papers) and Text and Document Classification Technologies (6 papers). Simone Filice collaborates with scholars based in Italy, United States and Qatar. Simone Filice's co-authors include Alessandro Moschitti, Roberto Basili, Danilo Croce, Giovanni Da San Martino, Giuseppe Castellucci, Alberto Barrón‐Cedeño, Shafiq Joty, Oleg Rokhlenko, Lluı́s Màrquez and Preslav Nakov and has published in prestigious journals such as Journal of Machine Learning Research, Cineca Institutional Research Information System (Tor Vergata University) and Institutional Research Information System (Università degli Studi di Trento).

In The Last Decade

Simone Filice

23 papers receiving 369 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simone Filice Italy 13 381 162 70 16 9 26 405
Salvatore Romeo Qatar 10 209 0.5× 102 0.6× 47 0.7× 8 0.5× 16 1.8× 16 234
Claudiu Musat Switzerland 10 303 0.8× 54 0.3× 78 1.1× 8 0.5× 15 1.7× 20 343
Pengxiang Cheng China 10 226 0.6× 179 1.1× 49 0.7× 5 0.3× 9 1.0× 17 314
Deqing Yang China 9 177 0.5× 120 0.7× 35 0.5× 5 0.3× 13 1.4× 34 232
Yllias Chali Canada 13 447 1.2× 59 0.4× 60 0.9× 14 0.9× 8 0.9× 47 474
Bofang Li China 9 217 0.6× 53 0.3× 31 0.4× 7 0.4× 7 0.8× 16 258
Keqin Bao China 7 242 0.6× 224 1.4× 48 0.7× 6 0.4× 5 0.6× 17 304
Tomohide Shibata Japan 10 255 0.7× 87 0.5× 30 0.4× 7 0.4× 16 1.8× 29 280
Jifan Yu China 9 215 0.6× 85 0.5× 36 0.5× 66 4.1× 3 0.3× 32 262
Mingxiao An China 6 355 0.9× 361 2.2× 84 1.2× 4 0.3× 23 2.6× 8 414

Countries citing papers authored by Simone Filice

Since Specialization
Citations

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

Fields of papers citing papers by Simone Filice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Filice

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Filice. A scholar is included among the top collaborators of Simone Filice 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 Simone Filice. Simone Filice 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.
2.
Wang, Zhuoer, et al.. (2023). Faithful Low-Resource Data-to-Text Generation through Cycle Training. 2847–2867. 1 indexed citations
3.
Castellucci, Giuseppe, Simone Filice, Danilo Croce, & Roberto Basili. (2021). Learning to Solve NLP Tasks in an Incremental Number of Languages. Cineca Institutional Research Information System (Tor Vergata University). 837–847. 15 indexed citations
4.
Filice, Simone, Giuseppe Castellucci, Marcus D. Collins, Eugene Agichtein, & Oleg Rokhlenko. (2021). VoiSeR: A New Benchmark for Voice-Based Search Refinement. 2321–2329. 1 indexed citations
5.
Fang, Anjie, Simone Filice, Nut Limsopatham, & Oleg Rokhlenko. (2020). Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. 699–708. 12 indexed citations
6.
Filice, Simone, Nachshon Cohen, & David Carmel. (2020). Voice-based Reformulation of Community Answers. 2885–2891. 2 indexed citations
7.
Filice, Simone & Alessandro Moschitti. (2019). Learning pairwise patterns in Community Question Answering. Institutional Research Information System (Università degli Studi di Trento). 12(2). 49–65. 4 indexed citations
8.
Filice, Simone, et al.. (2018). KELP: a Kernel-based Learning Platform. Journal of Machine Learning Research. 18(191). 1–5. 26 indexed citations
9.
Croce, Danilo, Simone Filice, Giuseppe Castellucci, & Roberto Basili. (2017). Deep Learning in Semantic Kernel Spaces. Cineca Institutional Research Information System (Tor Vergata University). 345–354. 12 indexed citations
10.
Barrón‐Cedeño, Alberto, Giovanni Da San Martino, Simone Filice, & Alessandro Moschitti. (2017). On the Use of an Intermediate Class in Boolean Crowdsourced Relevance Annotations for Learning to Rank Comments. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1209–1212. 2 indexed citations
11.
Filice, Simone, Giovanni Da San Martino, & Alessandro Moschitti. (2017). KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering. Institutional Research Information System (Università degli Studi di Trento). 30 indexed citations
12.
Filice, Simone, Danilo Croce, Alessandro Moschitti, & Roberto Basili. (2016). KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers. Cineca Institutional Research Information System (Tor Vergata University). 1116–1123. 60 indexed citations
13.
Filice, Simone & Alessandro Moschitti. (2016). Learning to Recognize Ancillary Information for Automatic Paraphrase Identification. 1109–1114. 2 indexed citations
14.
Barrón‐Cedeño, Alberto, Simone Filice, Giovanni Da San Martino, et al.. (2015). Thread-Level Information for Comment Classification in Community Question Answering. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 687–693. 33 indexed citations
15.
Filice, Simone, Giovanni Da San Martino, & Alessandro Moschitti. (2015). Structural Representations for Learning Relations between Pairs of Texts. Institutional Research Information System (Università degli Studi di Trento). 1003–1013. 30 indexed citations
16.
Filice, Simone, Alberto Barrón‐Cedeño, Iman Saleh, et al.. (2015). QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 203–209. 40 indexed citations
17.
Joty, Shafiq, Alberto Barrón‐Cedeño, Giovanni Da San Martino, et al.. (2015). Global Thread-level Inference for Comment Classification in Community Question Answering. Institutional Research Information System (Università degli Studi di Trento). 573–578. 37 indexed citations
18.
Filice, Simone, Danilo Croce, & Roberto Basili. (2015). A Stratified Strategy for Efficient Kernel-Based Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 1 indexed citations
19.
Castellucci, Giuseppe, Simone Filice, Danilo Croce, & Roberto Basili. (2014). UNITOR: Aspect Based Sentiment Analysis with Structured Learning. Cineca Institutional Research Information System (Tor Vergata University). 761–767. 21 indexed citations
20.
Castellucci, Giuseppe, Simone Filice, Danilo Croce, & Roberto Basili. (2013). UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis. Joint Conference on Lexical and Computational Semantics. 2. 369–374. 6 indexed citations

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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