Publications

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. Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora. ACL, 2018.

PDF Code

. Learning visually grounded sentence representations. NAACL, 2018.

PDF Video

. Separating Self-Expression and Visual Content in Hashtag Supervision. CVPR, 2017.

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. Fast Linear Model for Knowledge Graph Embeddings. AKBC, 2017.

PDF Project

. Holographic Embeddings of Knowledge Graphs. AAAI, 2015.

PDF Code Project

. A Review of Relational Machine Learning for Knowledge Graphs. Proc. IEEE, 2015.

Preprint PDF Project

. Querying the Web with Statistical Machine Learning. THESEUS, 2014.

Preprint PDF

. Querying Factorized Probabilistic Triple Databases. ISWC, 2014.

Preprint PDF Project Video

. A scalable approach for statistical learning in semantic graphs. SWJ, 2014.

PDF

. Tensor Factorization for Multi-Relational Learning. ECML/PKDD Nectar Track, 2013.

Preprint PDF Project

. An Analysis of Tensor Models for Learning from Structured Data.. ECML/PKDD, 2013.

Preprint PDF

. Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information. ECML/PKDD, 2012.

Preprint PDF

. Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction. ESWC, 2012.

PDF

. Factorizing YAGO: Scalable Machine Learning for Linked Data. WWW, 2012.

PDF Project Slides

. Learning Taxonomies from Multi-Relational Data via Hierarchical Link-Based Clustering. Learning Semantics, 2011.

PDF

. Three-Way DEDICOM for Relational Learning. TKML, 2010.

. A Scalable Kernel Approach to Learning in Semantic Graphs with Applications to Linked Data. MIFI, 2010.

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