Diego Marcheggiani

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 22

Top Topics

Predicate Argument

Syntactic Dependencies

Information Extraction

Semantic Role Labeling

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages. ACL (Findings) (2023)
Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages. CoRR (2023)
Diego Marcheggiani, Ivan Titov
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. EMNLP (1) (2020)
Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez
BookQA: Stories of Challenges and Opportunities. CoRR (2019)
Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP. EMNLP/IJCNLP (1) (2019)
Diego Marcheggiani, Ivan Titov
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. CoRR (2019)
Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP. CoRR (2019)
Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez
Book QA: Stories of Challenges and Opportunities. MRQA@EMNLP (2019)
Diego Marcheggiani, Fabrizio Sebastiani
The Impacts of Low-Quality Training Data on Information Extraction from Clinical Reports. ERCIM News 2018 (112) (2018)
Diego Marcheggiani, Jasmijn Bastings, Ivan Titov
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. NAACL-HLT (2) (2018)
Diego Marcheggiani, Jasmijn Bastings, Ivan Titov
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. CoRR (2018)
Diego Marcheggiani, Laura Perez-Beltrachini
Deep Graph Convolutional Encoders for Structured Data to Text Generation. INLG (2018)
Diego Marcheggiani, Laura Perez-Beltrachini
Deep Graph Convolutional Encoders for Structured Data to Text Generation. CoRR (2018)
Diego Marcheggiani, Fabrizio Sebastiani
On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports. ACM J. Data Inf. Qual. 9 (1) (2017)
Diego Marcheggiani, Ivan Titov
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. CoRR (2017)
Diego Marcheggiani, Anton Frolov, Ivan Titov
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. CoNLL (2017)
Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. EMNLP (2017)
Diego Marcheggiani, Anton Frolov, Ivan Titov
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. CoRR (2017)
Diego Marcheggiani, Ivan Titov
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. EMNLP (2017)
Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. CoRR (2017)
Giacomo Berardi, Diego Ceccarelli, Andrea Esuli, Diego Marcheggiani
On the Impact of Entity Linking in Microblog Real-Time Filtering. CoRR (2016)
Diego Marcheggiani, Ivan Titov
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations. Trans. Assoc. Comput. Linguistics 4 (2016)
Diego Marcheggiani, Fabrizio Sebastiani
On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports. CoRR (2015)
Giacomo Berardi, Diego Ceccarelli, Andrea Esuli, Diego Marcheggiani
On the impact of entity linking in microblog real-time filtering. SAC (2015)
Giacomo Berardi, Andrea Esuli, Diego Marcheggiani
Word Embeddings Go to Italy: A Comparison of Models and Training Datasets. IIR (2015)
Salud M. Jiménez Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, María Teresa Martín-Valdivia, Alejandro Moreo Fernández
A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining. EMNLP (2015)
Diego Marcheggiani, Oscar Täckström, Andrea Esuli, Fabrizio Sebastiani
Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining. ECIR (2014)
Diego Marcheggiani, Thierry Artières
An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences. EMNLP (2014)
Diego Marcheggiani
Beyond linear chain: a journey through conditional random fields for information extraction from text. SIGIR Forum 48 (1) (2014)
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani
An enhanced CRFs-based system for information extraction from radiology reports. J. Biomed. Informatics 46 (3) (2013)
Giacomo Berardi, Andrea Esuli, Sergiu Gordea, Diego Marcheggiani, Fabrizio Sebastiani
Metadata Enrichment Services for the Europeana Digital Library. TPDL (2012)
Giacomo Berardi, Andrea Esuli, Diego Marcheggiani
ISTI@TREC Microblog Track 2012: Real-Time Filtering Through Supervised Learning. TREC (2012)
Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani
ISTI@TREC Microblog Track 2011: Exploring the Use of Hashtag Segmentation and Text Quality Ranking. TREC (2011)
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani
ISTI@SemEval-2 Task 8: Boosting-Based Multiway Relation Classification. SemEval@ACL (2010)
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani
Extracting Information from Free-text Mammography Reports. ERCIM News 2010 (82) (2010)
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani
Sentence-Based Active Learning Strategies for Information Extraction. IIR (2010)