Diego Marcheggiani

发表

Word Embeddings Go to Italy: A Comparison of Models and Training Datasets

Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, 2015, IIR.

Semantic Role Labeling

Diego Marcheggiani, Ivan Titov, Michael Roth, 2010, EMNLP 2017.

The Impacts of Low-Quality Training Data on Information Extraction from Clinical Reports

Diego Marcheggiani, Fabrizio Sebastiani, 2018, ERCIM News.

Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling pdf

Diego Marcheggiani, Ivan Titov, Ivan Titov, 2019, EMNLP.

Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining

Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani, 2014, ECIR.

On the impact of entity linking in microblog real-time filtering

Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, 2015, SAC.

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling

Diego Marcheggiani, Ivan Titov, Anton Frolov, 2017, CoNLL.

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

Diego Marcheggiani, Ivan Titov, Ivan Titov, 2017, EMNLP.

ISTI@TREC Microblog Track 2011: Exploring the Use of Hashtag Segmentation and Text Quality Ranking

Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, 2011, TREC.

ISTI@SemEval-2 Task 8: Boosting-Based Multiway Relation Classification

Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani, 2010, SemEval@ACL.

Beyond linear chain: a journey through conditional random fields for information extraction from text

Diego Marcheggiani, Diego Marcheggiani, 2014, SIGF.

The SIGNLL Conference on Computational Natural Language Learning (CoNLL 17)

Diego Marcheggiani, Ivan Titov, Anton Frolov, 2017 .

Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks

Diego Marcheggiani, Ivan Titov, Joost Bastings, 2018, NAACL.

Book QA: Stories of Challenges and Opportunities pdf

Roi Blanco, Diego Marcheggiani, Lluís Màrquez i Villodre, 2019, EMNLP.

An Experimental Comparison of Active Learning Strategies for Partially Labeled Sequences

Diego Marcheggiani, Thierry Artières, T. Artières, 2014, EMNLP.

ISTI@TREC Microblog Track 2012: Real-Time Filtering Through Supervised Learning

Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, 2012, TREC.

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Khalil Sima'an, Diego Marcheggiani, Ivan Titov, 2017, EMNLP.

Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations

Diego Marcheggiani, Ivan Titov, Ivan Titov, 2016, TACL.

Deep Graph Convolutional Encoders for Structured Data to Text Generation pdf

Diego Marcheggiani, Laura Perez-Beltrachini, Diego Marcheggiani, 2018, INLG.

Extracting Information from Free-text Mammography Reports

Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani, 2010, ERCIM News.

Metadata Enrichment Services for the Europeana Digital Library

Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, 2012, TPDL.

A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining

Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, 2015, EMNLP.

You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP pdf

Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández, 2019, EMNLP.

An enhanced CRFs-based system for information extraction from radiology reports

Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani, 2013, J. Biomed. Informatics.

On the Effects of Low-Quality Training Data on Information Extraction from Clinical Reports

Diego Marcheggiani, Fabrizio Sebastiani, 2017, JDIQ.

Sentence-Based Active Learning Strategies for Information Extraction

Andrea Esuli, Diego Marcheggiani, Fabrizio Sebastiani, 2010, IIR.