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Moreno La Quatra

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2020 – today

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2024
[j8]
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Irene Benedetto, Moreno La Quatra, Luca Cagliero, Lorenzo Canale, Laura Farinetti:
Abstractive video lecture summarization: applications and future prospects. Educ. Inf. Technol. 29(3): 2951-2971 (2024)
[j7]
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Irene Benedetto, Moreno La Quatra, Luca Cagliero, Luca Vassio, Martino Trevisan:
TASP: Topic-based abstractive summarization of Facebook text posts. Expert Syst. Appl. 255: 124567 (2024)
[c18]
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Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi:
Speech Analysis of Language Varieties in Italy. LREC/COLING 2024: 15147-15159
[c17]
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Moreno La Quatra, Salvatore Greco, Luca Cagliero, Michela Tonti, Francesca Dragotto, Rachele Raus, Stefania Cavagnoli, Tania Cerquitelli:
Building Foundations for Inclusiveness through Expert-Annotated Data. EDBT/ICDT Workshops 2024
[c16]
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Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi:
Benchmarking Representations for Speech, Music, and Acoustic Events. ICASSP Workshops 2024: 505-509
[i5]
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  - journals/corr/abs-2405-00934
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Moreno La Quatra, Alkis Koudounas, Lorenzo Vaiani, Elena Baralis, Luca Cagliero, Paolo Garza, Sabato Marco Siniscalchi:
Benchmarking Representations for Speech, Music, and Acoustic Events. CoRR abs/2405.00934 (2024)
[i4]
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  - journals/corr/abs-2405-06573
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Rong Chao, Wen-Huang Cheng, Moreno La Quatra, Sabato Marco Siniscalchi, Chao-Han Huck Yang, Szu-Wei Fu, Yu Tsao:
An Investigation of Incorporating Mamba for Speech Enhancement. CoRR abs/2405.06573 (2024)
[i3]
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  - journals/corr/abs-2406-15862
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Moreno La Quatra, Alkis Koudounas, Elena Baralis, Sabato Marco Siniscalchi:
Speech Analysis of Language Varieties in Italy. CoRR abs/2406.15862 (2024)
[i2]
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  - journals/corr/abs-2408-04773
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Muhammad Salman Khan, Moreno La Quatra, Kuo-Hsuan Hung, Szu-Wei Fu, Sabato Marco Siniscalchi, Yu Tsao:
Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-based Speech Enhancement. CoRR abs/2408.04773 (2024)
2023
[j6]
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  - journals/fi/QuatraC23
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Moreno La Quatra, Luca Cagliero:
BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization. Future Internet 15(1): 15 (2023)
[c15]
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  - conf/evalita/GallipoliQCGC23
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Giuseppe Gallipoli, Moreno La Quatra, Daniele Rege Cambrin, Salvatore Greco, Luca Cagliero:
DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy. EVALITA 2023
[c14]
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  - conf/interspeech/KoudounasQVCAPC23
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Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. INTERSPEECH 2023: 2153-2157
[c13]
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Moreno La Quatra, Salvatore Greco, Luca Cagliero, Tania Cerquitelli:
Inclusively: An AI-Based Assistant for Inclusive Writing. ECML/PKDD (7) 2023: 361-365
[c12]
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Irene Benedetto, Moreno La Quatra, Luca Cagliero, Luca Vassio, Martino Trevisan:
Transformer-based Prediction of Emotional Reactions to Online Social Network Posts. WASSA@ACL 2023: 354-364
[i1]
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  - journals/corr/abs-2306-08502
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Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis:
ITALIC: An Italian Intent Classification Dataset. CoRR abs/2306.08502 (2023)
2022
[j5]
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Moreno La Quatra, Luca Cagliero:
Transformer-based highlights extraction from scientific papers. Knowl. Based Syst. 252: 109382 (2022)
[c11]
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Irene Benedetto, Lorenzo Canale, Laura Farinetti, Luca Cagliero, Moreno La Quatra:
Leveraging summarization techniques in educational technology systems. COMPSAC 2022: 415-416
[c10]
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  - conf/mm/VaianiQCG22
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
ViPER: Video-based Perceiver for Emotion Recognition. MuSe @ ACM Multimedia 2022: 67-73
[c9]
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Lorenzo Vaiani, Alkis Koudounas, Moreno La Quatra, Luca Cagliero, Paolo Garza, Elena Baralis:
Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders. MuSe @ ACM Multimedia 2022: 89-94
[c8]
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Moreno La Quatra, Lorenzo Vaiani, Alkis Koudounas, Luca Cagliero, Paolo Garza, Elena Baralis:
How Much Attention Should we Pay to Mosquitoes? ACM Multimedia 2022: 7135-7139
[c7]
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
Leveraging multimodal content for podcast summarization. SAC 2022: 863-870
2021
[j4]
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  - journals/access/CaglieroQ21
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Luca Cagliero, Moreno La Quatra:
Inferring Multilingual Domain-Specific Word Embeddings From Large Document Corpora. IEEE Access 9: 137309-137321 (2021)
[j3]
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  - journals/scientometrics/QuatraCB21
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Moreno La Quatra, Luca Cagliero, Elena Baralis:
Leveraging full-text article exploration for citation analysis. Scientometrics 126(10): 8275-8293 (2021)
[c6]
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  - conf/aike/CaglieroQGB21
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Luca Cagliero, Moreno La Quatra, Paolo Garza, Elena Baralis:
Cross-lingual timeline summarization. AIKE 2021: 45-53
[c5]
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  - conf/bigdataconf/AttanasioGQCTCR21
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Giuseppe Attanasio, Salvatore Greco, Moreno La Quatra, Luca Cagliero, Michela Tonti, Tania Cerquitelli, Rachele Raus:
E-MIMIC: Empowering Multilingual Inclusive Communication. IEEE BigData 2021: 4227-4234
[c4]
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Luca Cagliero, Moreno La Quatra:
Automatic slides generation in the absence of training data. COMPSAC 2021: 103-108
[c3]
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  - conf/sigir/QuatraCBMM21
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Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo:
Summarize Dates First: A Paradigm Shift in Timeline Summarization. SIGIR 2021: 418-427
[c2]
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  - conf/trec/VaianiQCG21
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Lorenzo Vaiani, Moreno La Quatra, Luca Cagliero, Paolo Garza:
PoliTO at TREC 2021 Podcast Summarization Track. TREC 2021
2020
[j2]
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  - journals/eswa/CaglieroQ20
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Luca Cagliero, Moreno La Quatra:
Extracting highlights of scientific articles: A supervised summarization approach. Expert Syst. Appl. 160: 113659 (2020)
[j1]
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Moreno La Quatra, Luca Cagliero, Elena Baralis:
Exploiting pivot words to classify and summarize discourse facets of scientific papers. Scientometrics 125(3): 3139-3157 (2020)

2010 – 2019

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2019
[c1]
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Moreno La Quatra, Luca Cagliero, Elena Baralis:
Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models. BIRNDL@SIGIR 2019: 233-246

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