activity
20192022
most citedMultilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

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…

cs.CL2021

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…

cs.CL2020

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…

cs.CL2019

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…

cs.CL2019

Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task

Alireza Mohammadshahi, Remi Lebret, Karl Aberer

In this paper, we propose a new approach to learn multimodal multilingual embeddings for matching images and their relevant captions in two languages. We combine two existing objec…