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Alessandro Moschitti

Alessandro Moschitti

D-Index & Metrics

Computer Science

D-Index
56
Citations
15424
World Ranking
4011
National Ranking
1913

Overview

Alessandro Moschitti is affiliated with Amazon in the United States, contributing extensively to the field of computer science. Their research primarily focuses on artificial intelligence, with significant work in subfields such as information systems, computer vision and pattern recognition, transportation, and global and planetary change.

Their scholarly output encompasses a range of topics within computer science, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Expert finding and Q&A systems
  • Multimodal Machine Learning Applications
  • Software Engineering Research
  • Advanced Text Analysis Techniques
  • Speech Recognition and Synthesis

Among recent papers authored or co-authored by Alessandro Moschitti are the following:

  • TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Land Use Classification With Point of Interests and Structural Patterns, 2020, IEEE Transactions on Knowledge and Data Engineering
  • Paragraph-based Transformer Pre-training for Multi-Sentence Inference, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection, 2022, Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection, 2022, arXiv (Cornell University)

Frequent collaborators in their research include Thuy Vu, Siddhant Garg, Luca Di Liello, Luca Soldaini, and Matteo Gabburo. This network of co-authorship reflects collaborative work across multiple publications.

The majority of Alessandro Moschitti's publications appear in several prominent venues, with multiple papers published in arXiv, illustrating ongoing work in preprints and open access research dissemination. Other venues of publication include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 31st ACM International Conference on Information & Knowledge Management
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

The scope and depth of Alessandro Moschitti's work align closely with contemporary advancements in artificial intelligence, with a particular emphasis on natural language processing and machine learning approaches. Their contributions span a range of methodological and applied topics pertinent to knowledge extraction, document retrieval, and transformer-based learning models.

Best Publications

  • Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

    Alessandro Moschitti;Bo Pang;Walter Daelemans

  • Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

    Aliaksei Severyn;Alessandro Moschitti

  • Twitter Sentiment Analysis with Deep Convolutional Neural Networks

    Aliaksei Severyn;Alessandro Moschitti

  • CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes

    Sameer Pradhan;Alessandro Moschitti;Nianwen Xue;Olga Uryupina

  • Efficient convolution kernels for dependency and constituent syntactic trees

    Alessandro Moschitti

  • BART: A modular toolkit for coreference resolution

    Yannick Versley;Simone Paolo Ponzetto;Massimo Poesio;Vladimir Eidelman

  • Making Tree Kernels Practical for Natural Language Learning.

    Alessandro Moschitti

  • Towards Robust Linguistic Analysis using OntoNotes

    Sameer Pradhan;Sameer Pradhan;Alessandro Moschitti;Alessandro Moschitti;Nianwen Xue;Hwee Tou Ng

  • SemEval-2017 Task 3: Community Question Answering

    Preslav Nakov;Doris Hoogeveen;Lluís Màrquez;Alessandro Moschitti

  • A Study on Convolution Kernels for Shallow Statistic Parsing

    Alessandro Moschitti

  • Complex Linguistic Features for Text Classification: A Comprehensive Study

    Alessandro Moschitti;Roberto Basili

  • UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification

    Aliaksei Severyn;Alessandro Moschitti

  • Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

    Alessandro Moschitti;Silvia Quarteroni;Roberto Basili;Suresh Manandhar

  • SemEval-2015 Task 3: Answer Selection in Community Question Answering

    Preslav Nakov;Llu'is Màrquez;Walid Magdy;Alessandro Moschitti

  • Tree kernels for semantic role labeling

    Alessandro Moschitti;Alessandro Moschitti;Alessandro Moschitti;Daniele Pighin;Daniele Pighin;Daniele Pighin;Roberto Basili;Roberto Basili;Roberto Basili

  • SemEval-2016 Task 3: Community Question Answering

    Preslav Nakov;Lluís Màrquez;Alessandro Moschitti;Walid Magdy

  • TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

    Siddhant Garg;Thuy Vu;Alessandro Moschitti

  • Structured Lexical Similarity via Convolution Kernels on Dependency Trees

    Danilo Croce;Alessandro Moschitti;Roberto Basili

  • Automatic Feature Engineering for Answer Selection and Extraction

    Aliaksei Severyn;Alessandro Moschitti

  • Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

    Barbara Plank;Alessandro Moschitti

  • Semantic Role Labeling via FrameNet, VerbNet and PropBank

    Ana-Maria Giuglea;Alessandro Moschitti

Frequent Co-Authors

Roberto Basili
Roberto Basili University of Rome Tor Vergata
Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Lluís Màrquez
Lluís Màrquez Amazon (United States)
Giuseppe Riccardi
Giuseppe Riccardi University of Trento
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño University of Bologna
Shafiq Joty
Shafiq Joty Salesforce (United States)
Barbara Plank
Barbara Plank Ludwig-Maximilians-Universität München
Massimo Poesio
Massimo Poesio Queen Mary University of London
Valérie Issarny
Valérie Issarny French Institute for Research in Computer Science and Automation - INRIA

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