15 citations · 15 across the 5 of their papers we have counts for
6 papers
Making Fast Graph-based Algorithms with Graph Metric Embeddings
Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk +2
The computation of distance measures between nodes in graphs is inefficient and does not scale to large graphs. We explore dense vector representations as an effective way to appro…
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
Abhik Jana, Dmitry Puzyrev, Alexander Panchenko +3
The compositionality degree of multiword expressions indicates to what extent the meaning of a phrase can be derived from the meaning of its constituents and their grammatical rela…
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
Rami Aly, Shantanu Acharya, Alexander Ossa +3
We introduce the use of Poincaré embeddings to improve existing state-of-the-art approaches to domain-specific taxonomy induction from text as a signal for both relocating wrong hy…
A Framework for Enriching Lexical Semantic Resources with Distributional Semantics
Chris Biemann, Stefano Faralli, Alexander Panchenko +1
We present an approach to combining distributional semantic representations induced from text corpora with manually constructed lexical-semantic networks. While both kinds of seman…
Making Sense of Word Embeddings
Maria Pelevina, Nikolay Arefyev, Chris Biemann +1
We present a simple yet effective approach for learning word sense embeddings. In contrast to existing techniques, which either directly learn sense representations from corpora or…
Effective models for nematic liquid crystals composites with ferromagnetic inclusions
M. Carme Calderer, Antonio DeSimone, Dmitry Golovaty +1
Molecules of a nematic liquid crystal respond to an applied magnetic field by reorienting themselves in the direction of the field. Since the dielectric anisotropy of a nematic is…