Accepted Papers – ALTA 2020

Draft proceedings are now available.

The following papers have been accepted for oral or poster presentation at ALTA 2020.

Long Papers: Oral and Poster Presentations

  • Farhad Moghimifar, Gholamreza Haffari and Mahsa Baktashmotlagh
    Domain Adaptative Causality Encoder.
  • Thushari Atapattu, Mahen Herath, Georgia Zhang and Katrina Falkner
    Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability.
  • Shunichi Ishihara
    The Influence of Background Data Size on the Performance of a Score-based Likelihood Ratio System: A Case of Forensic Text Comparison.
  • Michael Carne and Shunichi Ishihara
    Feature-Based Forensic Text Comparison Using a Poisson Model for Likelihood Ratio Estimation.
  • Saliha Muradoglu, Nicholas Evans and Ekaterina Vylomova
    Modelling Verbal Morphology in Nen.
  • Xinyuan Chao, Charbel El-Khaissi, Nicholas Kuo, Priscilla Kan John and Hanna Suominen
    An Automatic Vowel Space Generator for Language Learner Pronunciation Acquisition and Correction.
  • Abhishek Das and Wei Emma Zhang
    ABSA-Bench: Towards the Unified Evaluation of Aspect-based Sentiment Analysis Research.
  • Li'An Chen, Inger Mewburn and Hanna Suonimen
    A machine-learning based model to identify PhD-level skills in job ads.

Short Papers: Poster Presentation

  • Farhad Moghimifar, Afshin Rahimi, Mahsa Baktashmotlagh and Xue Li
    Learning Causal Bayesian Networks from Text.
  • Meladel Mistica, Geordie Z. Zhang, Hui Chia, Kabir Manandhar Shrestha, Rohit Kumar Gupta, Saket Khandelwal, Jeannie Paterson, Timothy Baldwin and Daniel Beck
    Information Extraction from Legal Documents: A Study in the Context of Common Law Court Judgements.
  • Yuting Guo, Xiangjue Dong, Mohammed Ali Al-Garadi, Abeed Sarker, Cecile Paris and Diego Mollá Aliod
    Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets.
  • Vincent Nguyen, Maciek Rybinski, Sarvnaz Karimi and Zhenchang Xing
    Pandemic Literature Search: Finding Information on COVID-19.
  • Gabriela Ferraro and Hanna Suominen
    Transformer Semantic Parsing.
  • Aaron Keesing, Ian Watson and Michael Witbrock
    Convolutional and Recurrent Neural Networks for Spoken Emotion Recognition.
  • Kotaro Kitayama, Shivashankar Subramanian and Timothy Baldwin
    Popularity Prediction of Online Petitions using a Multimodal DeepRegression Model.
  • Andrei Shcherbakov, Saliha Muradoglu and Ekaterina Vylomova
    Exploring Looping Effects in RNN-based Architectures.

Abstracts: Poster Presentation

  • Inigo Jauregi Unanue, Nazanin Esmaili, Gholamreza Haffari and Massimo Piccardi
    Leveraging Discourse Rewards for Document-Level Neural Machine Translation.
  • Ming-Bin Chen and Michael Witbrock
    The Open Domain Interviewing Agent.
  • Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris
    Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media.

Doctoral Symposium: Oral and Poster Presentations

  • Xiang Dai
    Recognizing Biomedical Names: Challenges and Solutions.
  • Jennyfer Lawrence Taylor
    Ngana Wubulku Junkurr-Jiku Balkaway-Ka: The Intergenerational Co-Design of a Tangible Technology to Keep Active Use of the Kuku Yalanji Aboriginal Language Strong.
  • Tingmin Wu
    Automatic Generation of Security-Centric Description for Cyber Threats.