1 citations · 1 across the 1 of their papers we have counts for
6 papers
Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers
Luis Espinosa-Anke, Alexander Shvets, Alireza Mohammadshahi +2
Recognizing and categorizing lexical collocations in context is useful for language learning, dictionary compilation and downstream NLP. However, it is a challenging task due to th…
The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task
James Barry, Alireza Mohammadshahi, Joachim Wagner +2
We describe the DCU-EPFL submission to the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies. The task involves parsing Enhanced UD graphs, which are an extensi…
Multi-Adversarial Learning for Cross-Lingual Word Embeddings
Haozhou Wang, James Henderson, Paola Merlo
Generative adversarial networks (GANs) have succeeded in inducing cross-lingual word embeddings -- maps of matching words across languages -- without supervision. Despite these suc…
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement
Alireza Mohammadshahi, James Henderson
We propose the Recursive Non-autoregressive Graph-to-Graph Transformer architecture (RNGTr) for the iterative refinement of arbitrary graphs through the recursive application of a…
Graph-to-Graph Transformer for Transition-based Dependency Parsing
Alireza Mohammadshahi, James Henderson
We propose the Graph2Graph Transformer architecture for conditioning on and predicting arbitrary graphs, and apply it to the challenging task of transition-based dependency parsing…
Partially-supervised Mention Detection
Lesly Miculicich, James Henderson
Learning to detect entity mentions without using syntactic information can be useful for integration and joint optimization with other tasks. However, it is common to have partiall…