Publications by James Henderson

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease

The rapidly increasing number of biomedical publications presents a significant challenge for efficient knowledge discovery. To address this, we introduce an open-source, end-to-end framework designed to automatically extract and construct knowledge about ...

2024

The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task

James Henderson, Alireza Mohammadshahi

We describe the DCU-EPFL submission to the IWPT 2021 Parsing Shared Task: From Raw Text to Enhanced Universal Dependencies. The task involves parsing Enhanced UD graphs, which are an extension of the basic dependency trees designed to be more facilitative ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement

James Henderson, Alireza Mohammadshahi

We propose the Recursive Non-autoregressive Graph-to-graph Transformer architecture (RNG-Tr) for the iterative refinement of arbitrary graphs through the recursive application of a non-autoregressive Graph-to-Graph Transformer and apply it to syntactic dep ...

2021

The Unstoppable Rise of Computational Linguistics in Deep Learning

James Henderson

In this paper, we trace the history of neural networks applied to natural language understanding tasks, and identify key contributions which the nature of language has made to the development of neural network architectures. We focus on the importance of v ...

Association for Computational Linguistics2020

Graph-to-Graph Transformer for Transition-based Dependency Parsing

James Henderson, Alireza Mohammadshahi

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. After proposing two novel Transformer models of transition-based dependenc ...

Association for Computational Linguistics2020

Partially-supervised Mention Detection

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 partially annotated data for this problem. Here, we investigate two approaches to de ...

ACL2020

James Henderson

Graph Chatbot

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease

The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task

Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement

The Unstoppable Rise of Computational Linguistics in Deep Learning

Graph-to-Graph Transformer for Transition-based Dependency Parsing

Partially-supervised Mention Detection

End-to-End Bias Mitigation by Modelling Biases in Corpora

Plug and Play Autoencoders for Conditional Text Generation

GILE: A Generalized Input-Label Embedding for Text Classification

Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation

The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task

Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease

The Unstoppable Rise of Computational Linguistics in Deep Learning

Graph-to-Graph Transformer for Transition-based Dependency Parsing

Partially-supervised Mention Detection

End-to-End Bias Mitigation by Modelling Biases in Corpora

Plug and Play Autoencoders for Conditional Text Generation

GILE: A Generalized Input-Label Embedding for Text Classification

Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation