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Diego Marcheggiani
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Books and Theses
- 2014
- [b1]Diego Marcheggiani:
Beyond linear chain: a journey through conditional random fields for information extraction from text. Ca' Foscari University of Venice, Italy, 2014
Journal Articles
- 2017
- [j4]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): 1:1-1:25 (2017) - 2016
- [j3]Diego Marcheggiani, Ivan Titov:
Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations. Trans. Assoc. Comput. Linguistics 4: 231-244 (2016) - 2014
- [j2]Diego Marcheggiani:
Beyond linear chain: a journey through conditional random fields for information extraction from text. SIGIR Forum 48(1): 44 (2014) - 2013
- [j1]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
An enhanced CRFs-based system for information extraction from radiology reports. J. Biomed. Informatics 46(3): 425-435 (2013)
Conference and Workshop Papers
- 2023
- [c19]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: 4458-4468 - 2020
- [c18]Diego Marcheggiani, Ivan Titov:
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. EMNLP (1) 2020: 3915-3928 - 2019
- [c17]Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez:
Book QA: Stories of Challenges and Opportunities. MRQA@EMNLP 2019: 78-85 - [c16]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: 4706-4716 - 2018
- [c15]Diego Marcheggiani, Laura Perez-Beltrachini:
Deep Graph Convolutional Encoders for Structured Data to Text Generation. INLG 2018: 1-9 - [c14]Diego Marcheggiani, Jasmijn Bastings, Ivan Titov:
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. NAACL-HLT (2) 2018: 486-492 - 2017
- [c13]Diego Marcheggiani, Anton Frolov, Ivan Titov:
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. CoNLL 2017: 411-420 - [c12]Diego Marcheggiani, Ivan Titov:
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. EMNLP 2017: 1506-1515 - [c11]Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an:
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. EMNLP 2017: 1957-1967 - 2015
- [c10]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: 2533-2538 - [c9]Giacomo Berardi, Andrea Esuli, Diego Marcheggiani:
Word Embeddings Go to Italy: A Comparison of Models and Training Datasets. IIR 2015 - [c8]Giacomo Berardi, Diego Ceccarelli, Andrea Esuli, Diego Marcheggiani:
On the impact of entity linking in microblog real-time filtering. SAC 2015: 1066-1071 - 2014
- [c7]Diego Marcheggiani, Oscar Täckström, Andrea Esuli, Fabrizio Sebastiani:
Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining. ECIR 2014: 273-285 - [c6]Diego Marcheggiani, Thierry Artières:
An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences. EMNLP 2014: 898-906 - 2012
- [c5]Giacomo Berardi, Andrea Esuli, Sergiu Gordea, Diego Marcheggiani, Fabrizio Sebastiani:
Metadata Enrichment Services for the Europeana Digital Library. TPDL 2012: 508-511 - [c4]Giacomo Berardi, Andrea Esuli, Diego Marcheggiani:
ISTI@TREC Microblog Track 2012: Real-Time Filtering Through Supervised Learning. TREC 2012 - 2011
- [c3]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 - 2010
- [c2]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
Sentence-Based Active Learning Strategies for Information Extraction. IIR 2010: 41-45 - [c1]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
ISTI@SemEval-2 Task 8: Boosting-Based Multiway Relation Classification. SemEval@ACL 2010: 218-221
Informal and Other Publications
- 2023
- [i13]Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco, Diego Marcheggiani:
Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages. CoRR abs/2305.11673 (2023) - 2019
- [i12]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 abs/1909.00412 (2019) - [i11]Diego Marcheggiani, Ivan Titov:
Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling. CoRR abs/1909.09814 (2019) - [i10]Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez:
BookQA: Stories of Challenges and Opportunities. CoRR abs/1910.00856 (2019) - 2018
- [i9]Diego Marcheggiani, Jasmijn Bastings, Ivan Titov:
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks. CoRR abs/1804.08313 (2018) - [i8]Diego Marcheggiani, Laura Perez-Beltrachini:
Deep Graph Convolutional Encoders for Structured Data to Text Generation. CoRR abs/1810.09995 (2018) - [i7]Diego Marcheggiani, Fabrizio Sebastiani:
The Impacts of Low-Quality Training Data on Information Extraction from Clinical Reports. ERCIM News 2018(112) (2018) - 2017
- [i6]Diego Marcheggiani, Anton Frolov, Ivan Titov:
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling. CoRR abs/1701.02593 (2017) - [i5]Diego Marcheggiani, Ivan Titov:
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling. CoRR abs/1703.04826 (2017) - [i4]Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima'an:
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation. CoRR abs/1704.04675 (2017) - 2016
- [i3]Giacomo Berardi, Diego Ceccarelli, Andrea Esuli, Diego Marcheggiani:
On the Impact of Entity Linking in Microblog Real-Time Filtering. CoRR abs/1611.03350 (2016) - 2015
- [i2]Diego Marcheggiani, Fabrizio Sebastiani:
On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports. CoRR abs/1502.05472 (2015) - 2010
- [i1]Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani:
Extracting Information from Free-text Mammography Reports. ERCIM News 2010(82): 60 (2010)
Coauthor Index
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