268 citations · 662 across the 69 of their papers we have counts for
7 papers · 1 filter
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš +2
Semantic specialization is the process of fine-tuning pre-trained distributional word vectors using external lexical knowledge (e.g., WordNet) to accentuate a particular semantic r…
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak +5
Linguistic typology aims to capture structural and semantic variation across the world's languages. A large-scale typology could provide excellent guidance for multilingual Natural…
Fully Statistical Neural Belief Tracking
Nikola Mrkšić, Ivan Vulić
This paper proposes an improvement to the existing data-driven Neural Belief Tracking (NBT) framework for Dialogue State Tracking (DST). The existing NBT model uses a hand-crafted…
Scoring Lexical Entailment with a Supervised Directional Similarity Network
Marek Rei, Daniela Gerz, Ivan Vulić
We present the Supervised Directional Similarity Network (SDSN), a novel neural architecture for learning task-specific transformation functions on top of general-purpose word embe…
On the Limitations of Unsupervised Bilingual Dictionary Induction
Anders Søgaard, Sebastian Ruder, Ivan Vulić
Unsupervised machine translation---i.e., not assuming any cross-lingual supervision signal, whether a dictionary, translations, or comparable corpora---seems impossible, but nevert…
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić, Goran Glavaš, Nikola Mrkšić +1
Word vector specialisation (also known as retrofitting) is a portable, light-weight approach to fine-tuning arbitrary distributional word vector spaces by injecting external knowle…