1 code implementation • NAACL (CLPsych) 2021 • Glorianna Jagfeld, Fiona Lobban, Paul Rayson, Steven H. Jones
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 are important to judge generalisability of findings.
no code implementations • ACL 2019 • 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 computational tools.
no code implementations • WS 2018 • 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 structured inputs.
1 code implementation • CONLL 2018 • Matthias Blohm, Glorianna Jagfeld, Ekta Sood, Xiang Yu, Ngoc Thang Vu
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 answering dataset.
no code implementations • WS 2017 • 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 networks.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • ACL 2017 • Glorianna Jagfeld, Patrick Ziering, Lonneke van der Plas
Traditionally, compound splitters are evaluated intrinsically on gold-standard data or extrinsically on the task of statistical machine translation.
no code implementations • WS 2016 • Gianina Iord{\u{a}}chioaia, Lonneke van der Plas, Glorianna Jagfeld
We present an interdisciplinary study on the interaction between the interpretation of noun-noun deverbal compounds (DCs; e. g., task assignment) and the morphosyntactic properties of their deverbal heads in English.