Conference Program
Time Zone: AEST (GMT+10)
The program for ALTA 2023 is now available. Details are as follows:
Wed, Nov 29
Location: The Studio, Ground Floor, Melbourne Connect
- 12:00pm: Lunch
- 1:00pm: Tutorial Part 1
- 2:00pm: Afternoon Tea
- 2:15pm: Tutorial Part 2
- 3:15pm: Break
- 3:30pm: Tutorial Part 3
- 4:30pm: Tutorial Conclude and NLP Meetup Refreshments
- 5:15pm: NLP Meetup@Melbourne Connect
Thu, Nov 30
Location: The Forum, Superfloor, Melbourne Connect
- 8:45am: Opening
- 9:00am: ALTA Keynote#1 - Reza Haffari, Towards Effective NLP Systems: Cultural Norms, Explainability, and Reasoning Enhancement
- 10:00am: Morning Tea
- 10:30am: Oral Presentations (Applications) [Chair: Massimo Piccardi]
- LONG BanglaClickBERT: Bangla Clickbait Detection from News Headlines using Domain Adaptive BanglaBERT and MLP Techniques
Saman Sarker Joy, Tanusree Das Aishi, Naima Tahsin Nodi and Annajiat Alim Rasel - SHORT An Ensemble Method Based on the Combination of Transformers with Convolutional Neural Networks to Detect Artificially Generated Text
Vijini Pilana Liyanage and Davide Buscaldi - LONG Using C-LARA to evaluate GPT-4’s multilingual processing
ChatGPT C-LARA-Instance, Belinda Chiera, Cathy Chua, Chadi Raheb, Manny Rayner and Annika Simonsen, Zhengkang Xiang and Rina Zviel-Girshin - LONG MCASP: Multi-Modal Cross Attention Network for Stock Market Prediction
Kamaladdin Fataliyev and Wei Liu
- LONG BanglaClickBERT: Bangla Clickbait Detection from News Headlines using Domain Adaptive BanglaBERT and MLP Techniques
- 12:00pm: ALTA Keynote#2 - Heng Ji, SmartBook: An AI Prophetess for Disaster Reporting and Forecasting
- 1:00pm: Lunch
- 2:00pm: Oral Presentations (Speech / Linguistics) [Chair: Daniel Beck]
- LONG The sub-band cepstrum as a tool for local spectral analysis in forensic voice comparison
Shunichi Ishihara and Frantz Clermont - LONG Right the docs: Characterising voice dataset documentation practices used in machine learning
Kathy Reid and Elizabeth T. Williams - LONG Encoding Prefixation in Southern Min
Yishan Huang
- LONG The sub-band cepstrum as a tool for local spectral analysis in forensic voice comparison
- 3:00pm: Afternoon Tea
- 3:15pm: Panel Discussion [Panellists: Long Duong, Reza Haffari, Ed Hovy and Karin Verspoor]
- 4:15pm: Abstract Presentations / Industry Demonstrations (ends at 5:15pm)
- DEMO Application of NLP in multi-national, multi-linguistic clinical trials for dementia
Adam Vogel - DEMO AskTelstra: An LLM-Powered QA System for an Enhanced Customer Support
Jack Latrobe, Andrea Chiechi, Danielle Nunns, Sirirat Wisessiri, Stuart Taylor, Vijayaraj Vinuvilla Rajan, Sing Teng, Sara Keretna, Sing Yatphaisan, Zhuohan Xie, Mudit Upadhyay, Anish Chelliah CR, Steve Morris, Rohit Lakhotia and Cat Smith - ABSTRACT Characterising Mood Instability on Twitter
Lulu Ilmaknun Qurotaini - ABSTRACT Extended Abstract: An Update to the Urarina Language Verification Project (A Work in Progress)
Michael Dorin and Judith Dorin - ABSTRACT SLEDE: A classification-based evaluation model of second language English conversational dialogue
Rena Gao - ABSTRACT Synthetic Dialogue Dataset Generation using LLM Agents
Yelaman Abdullin, Diego Molla, Bahadorreza Ofoghi, John Yearwood and Qingyang Li - ABSTRACT The Role of Historical Reports in Radiology Report Summarisation
Mong Yuan Sim, Wei Emma Zhang, Xiang Dai and Cecile Paris - ABSTRACT Harnessing active learning to fine-tune large language models on minimal training data for near real-time detection of vaccine adverse events from emergency department notes
Sedigh Khademi, Christopher Palmer, Muhammad Javed, Gerardo Luis Dimaguila, Hazel Clothier, Jim Buttery and Jim Black - ABSTRACT XVD: Cross-Vocabulary Differentiable Training for Generative Adversarial Attacks
Tom Roth, Inigo Jauregi Unanue, Sharif Abuadbba and Massimo Piccardi
- DEMO Application of NLP in multi-national, multi-linguistic clinical trials for dementia
- 6:30pm: Dinner@Stomping Ground
Fri, Dec 1
Location: The Forum, Superfloor, Melbourne Connect
- 9:00am: ALTA Keynote#3 - Terrence Szymanski, The commoditisation of NLP in industry
- 10:00am: Morning Tea
- 10:30am: Oral Presentations (Medical / ML) [Chair: Antonio Jimeno Yepes]
- SHORT Enhancing Bacterial Infection Prediction in Critically Ill Patients by Integrating Clinical Text
Jinghui Liu and Anthony Nguyen - SHORT CRF-based recognition of invasive fungal infection concepts in CHIFIR clinical reports
Yang Meng, Vlada Rozova and Karin Verspoor - LONG Catching Misdiagnosed Limb Fractures in the Emergency Department Using Cross-institution Transfer Learning
Filip Rusak, Bevan Koopman, Nathan J. Brown, Kevin Chu, Jinghui Liu and Anthony Nguyen - LONG Exploring Causal Directions through Word Occurrences: Semi-supervised Bayesian Classification Framework
King Tao Jason Ng and Diego Molla
- SHORT Enhancing Bacterial Infection Prediction in Critically Ill Patients by Integrating Clinical Text
- 12:00pm: ALTA Keynote#4 (Joint Session with AI@Melbourne Connect Symposium) - Heng Ji
- 1:00pm: Lunch
- 2:00pm: Oral Presentations (Dialogue) [Chair: Jonathan Kummerfeld]
- LONG Story Co-telling Dialogue Generation based on Multi-Agent Reinforcement Learning and Story Highlights
YuKai Lee and Chia-Hui Chang - SHORT Chat Disentanglement: Data for New Domains and Methods for More Accurate Annotation
Sai Gouravajhala, Andrew Vernier, Yiming Shi, Zihan Li, Mark Ackerman and Jonathan Kummerfeld - SHORT Predicting Empathic Accuracy from User-Designer Interviews
Steven Nguyen, Daniel Beck and Katja Holtta-Otto - SHORT The uncivil empathy: Investigating the relation between empathy and toxicity in online mental health support forums
Ming-Bin Chen, Jey Han Lau and Lea Frermann - LONG Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation
Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman and Gholamreza Haffari
- LONG Story Co-telling Dialogue Generation based on Multi-Agent Reinforcement Learning and Story Highlights
- 3:30pm: Afternoon Tea
- 3:45pm: Oral Presentations (Shared Task)
- SHARED Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text
Diego Molla, Haolan Zhan, Xuanli He and Qiongkai Xu - SHARED A Prompt in the Right Direction: Prompt Based Classification of Machine-Generated Text Detection
Rinaldo Gagiano and Lin Tian - SHARED Automatic Detection of Machine-Generated Text Using Pre-Trained Language Models
Yunhao Fang - SHARED An Ensemble Based Approach To Detecting LLM-Generated Texts
Ahmed EI-Sayed and Omar Nasr - SHARED Feature-Level Ensemble Learning for Robust Synthetic Text Detection with DeBERTaV3 and XLM-RoBERTa
Saman Sarker Joy and Tanusree Das Aishi - SHARED Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection
Duke Nguyen, Khaing Myat Noe Naing and Aditya Joshi
- SHARED Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text
- 4:45pm: ALTA AGM
- 5:00pm: Best Paper Award / Shared Task Award/ Closing
Please inform us via workshop@alta.asn.au if there are any issues with paper details