Accepted Papers – ALTA 2021

The following papers have been accepted for oral or poster presentation at ALTA 2021.

Long Papers:

  • Rongxin Zhu, Jey Han Lau and Jianzhong Qi. Findings on Conversation Disentanglement
  • Li'An Chen and Hanna Suominen. An Approach to the Frugal Use of Human Annotators to Scale up Auto-coding for Text Classification Tasks
  • Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray Buntine and Reza Haffari. Curriculum Learning Effectively Improves Low Data VQA
  • Danielly Sorato, Diana Zavala-Rojas and Maria del Carme Colominas Ventura. Using Word Embeddings to Quantify Ethnic Stereotypes in 12 years of Spanish News
  • Karun Varghese Mathew, Venkata S Aditya Tarigoppula and Lea Frermann. Multi-modal Intent Classification for Assistive Robots with Large-scale Naturalistic Datasets
  • Rhys Biddle, Maciek Rybinski, Cecile Paris and Guandong Xu. Harnessing Privileged Information for Hyperbole Detection
  • Vincent Nguyen, Sarvnaz Karimi and Zhenchang Xing. Combining Shallow and Deep Representations for Text-Pair Classification
  • Eric Le Ferrand, Steven Bird and Laurent Besacier. Phone Based Keyword Spotting for Transcribing Very Low Resource Languages
  • Nannan Huang and Xiuzhen Zhang. Evaluation of Review Summaries via Question-Answering
  • Zhuohan Xie, Jey Han Lau and Trevor Cohn. Exploring Story Generation with Multi-task Objectives in Variational Autoencoders
  • Thomas Scelsi, Alfonso Martinez Arranz and Lea Frermann. Principled Analysis of Energy Discourse across Domains with Thesaurus-based Automatic Topic Labeling
  • Rinaldo Gagiano, Maria Myung-Hee Kim, Xiuzhen Zhang and Jennifer Biggs Robustness Analysis of Grover for Machine-Generated Fake News Detection.
  • Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray Buntine and Reza Haffari. Inductive Biases for Low Data VQA: A Data Augmentation Approach
  • Najam Zaidi, Trevor Cohn and Gholamreza Haffari. Document Level Hierarchical Transformer
  • Xinzhe Li, Ming Liu, Xingjun Ma and Longxiang Gao. Exploring the Vulnerability of Natural Language Processing Models via Universal Adversarial Texts
  • Abdus Salam, Rolf Schwitter and Mehmet Orgun. Generating and Modifying Natural Language Explanations

Short Papers:

  • Shiwei Zhang and Xiuzhen Zhang. Does QA-based intermediate training help fine-tuning language models for text classification?
  • Raquel G. Alhama, Francesca Zermiani and Atiqah Khaliq. Retrodiction as Delayed Recurrence: the Case of Adjectives in Italian and English
  • Thanh Vu and Dai Quoc Nguyen. Automatic Post-Editing for Vietnamese
  • Antonio Jimeno Yepes, Ameer Albahem and Karin Verspoor. Using Discourse Structure to Differentiate Focus Entities from Background Entities in Scientific Literature
  • Qian Sun, Aili Shen, Hiyori Yoshikawa, Chunpeng Ma, Daniel Beck, Tomoya Iwakura and Timothy Baldwin. Evaluating Hierarchical Document Categorisation
  • Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra and David Eyers. BERT's The Word : Sarcasm Target Detection using BERT
  • Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski and Zhenchang Xing. Cross-Domain Language Modeling: An Empirical Investigation


  • Uri Berger, Gabriel Stanovsky, Omri Abend and Lea Frermann. A Computational Acquisition Model for Multi-modal Word Learning from Scratch