1 citations · 1 across the 4 of their papers we have counts for
6 papers
Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
Glorianna Jagfeld, Fiona Lobban, Paul Rayson +1
Recently, research on mental health conditions using public online data, including Reddit, has surged in NLP and health research but has not reported user characteristics, which ar…
A computational linguistic study of personal recovery in bipolar disorder
Glorianna Jagfeld
Mental health research can benefit increasingly fruitfully from computational linguistics methods, given the abundant availability of language data in the internet and advances of…
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld, Sabrina Jenne, Ngoc Thang Vu
We present a comparison of word-based and character-based sequence-to-sequence models for data-to-text natural language generation, which generate natural language descriptions for…
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm, Glorianna Jagfeld, Ekta Sood +2
We propose a machine reading comprehension model based on the compare-aggregate framework with two-staged attention that achieves state-of-the-art results on the MovieQA question a…
On Search Powered Navigation
Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad +3
Query-based searching and browsing-based navigation are the two main components of exploratory search. Search lets users dig in deep by controlling their actions to focus on and fi…
Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking
Glorianna Jagfeld, Ngoc Thang Vu
This paper presents our novel method to encode word confusion networks, which can represent a rich hypothesis space of automatic speech recognition systems, via recurrent neural ne…