Search Results for author: Gabriel Murray

Found 12 papers, 3 papers with code

Visual Analytics for Generative Transformer Models

no code implementations21 Nov 2023 Raymond Li, Ruixin Yang, Wen Xiao, Ahmed Aburaed, Gabriel Murray, Giuseppe Carenini

While transformer-based models have achieved state-of-the-art results in a variety of classification and generation tasks, their black-box nature makes them challenging for interpretability.

Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models

no code implementations24 Oct 2023 Raymond Li, Gabriel Murray, Giuseppe Carenini

In this work, we propose a method that combines two popular research areas by injecting linguistic structures into pre-trained language models in the parameter-efficient fine-tuning (PEFT) setting.

Diversity-Aware Coherence Loss for Improving Neural Topic Models

1 code implementation25 May 2023 Raymond Li, Felipe González-Pizarro, Linzi Xing, Gabriel Murray, Giuseppe Carenini

The standard approach for neural topic modeling uses a variational autoencoder (VAE) framework that jointly minimizes the KL divergence between the estimated posterior and prior, in addition to the reconstruction loss.

Topic Models

Discourse Analysis and Its Applications

no code implementations ACL 2019 Shafiq Joty, Giuseppe Carenini, Raymond Ng, Gabriel Murray

Discourse processing is a suite of Natural Language Processing (NLP) tasks to uncover linguistic structures from texts at several levels, which can support many downstream applications.

Machine Translation Question Answering +3

Analyzing Verbal and Nonverbal Features for Predicting Group Performance

no code implementations26 Jun 2019 Uliyana Kubasova, Gabriel Murray, McKenzie Braley

In these experiments, the new dataset is merged with an existing survival task dataset, allowing us to compare feature sets on a much larger amount of data than has been used in recent related work.

Language-Based Automatic Assessment of Cognitive and Communicative Functions Related to Parkinson's Disease

no code implementations COLING 2018 Lesley Jessiman, Gabriel Murray, McKenzie Braley

We explore the use of natural language processing and machine learning for detecting evidence of Parkinson{'}s disease from transcribed speech of subjects who are describing everyday tasks.

BIG-bench Machine Learning Binary Classification +1

Detecting Dementia through Retrospective Analysis of Routine Blog Posts by Bloggers with Dementia

1 code implementation WS 2017 Vaden Masrani, Gabriel Murray, Thalia Field, Giuseppe Carenini

We investigate if writers with dementia can be automatically distinguished from those without by analyzing linguistic markers in written text, in the form of blog posts.

BIG-bench Machine Learning

Modelling Participation in Small Group Social Sequences with Markov Rewards Analysis

no code implementations WS 2017 Gabriel Murray

We explore a novel computational approach for analyzing member participation in small group social sequences.

Stoic Ethics for Artificial Agents

no code implementations9 Jan 2017 Gabriel Murray

We present a position paper advocating the notion that Stoic philosophy and ethics can inform the development of ethical A. I.

Ethics Philosophy +1

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