A Probabilistic Model of Compound Nouns. - Mark Lauer; Mark Dras (CoRR, 1994)

Automatic Identification of Support Verbs: A Step Towards a Definition of Semantic Weight. - Mark Dras (CoRR, 1995)

Death and Lightness: Using a Demographic Model to Find Support Verbs - Mark Dras; Mike Johnson (CoRR, 1996)

Representing Paraphrases Using Synchronous TAGs. - Mark Dras (ACL, 1997)

Reluctant Paraphrase: Textual Restructuring under an Optimisation Model - Mark Dras (CoRR, 1997)

A Meta-Level Grammar: Redefining Synchronous TAG for Translation and Paraphrase. - Mark Dras (ACL, 1999)

Multi-Component TAG and Notions of Formal Power. - William Schuler; David Chiang 001; Mark Dras (ACL, 2000)

Some remarks on an extension of synchronous TAG. - David Chiang 001; William Schuler; Mark Dras (TAG+, 2000)

How problematic are clitics for S-TAG translation? - Mark Dras; Tonia Bleam (TAG+, 2000)

Korean-English MT and S-TAG. - Mark Dras; Chung-hye Han (TAG+, 2002)

Straight to the point: Discovering themes for summary generation. - Stephen Wan 001; Mark Dras; Cécile Paris; Robert Dale (ALTA, 2003)

Formal Grammars for Linguistic Treebank Queries. - Mark Dras; Steve Cassidy (ALTA, 2005)

Towards Statistical Paraphrase Generation: Preliminary Evaluations of Grammaticality. - Stephen Wan 001; Mark Dras; Robert Dale; Cécile Paris (IWP@IJCNLP, 2005)

A Two-Pronged Attack on the Dragon of Intractability. - Stephen Gilmour; Mark Dras (ACSC, 2005)

Understanding the Pheromone System Within Ant Colony Optimization. - Stephen Gilmour; Mark Dras (Australian Conference on Artificial Intelligence, 2005)

Searching for Grammaticality: Propagating Dependencies in the Viterbi Algorithm. - Stephen Wan 001; Robert Dale; Mark Dras (ENLG, 2005)

Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase. - Stephen Wan 001; Mark Dras; Robert Dale; Cécile Paris (ALTA, 2006)

This Phrase-Based SMT System is Out of Order: Generalised Word Reordering in Machine Translation. - Simon Zwarts; Mark Dras (ALTA, 2006)

Kernelization as Heuristic Structure for the Vertex Cover Problem. - Stephen Gilmour; Mark Dras (ANTS Workshop, 2006)

Entailment due to Syntactically Encoded Semantic Relationships. - Elena Akhmatova; Mark Dras (ALTA, 2007)

Exploring Approaches to Discriminating among Near-Synonyms. - Mary Gardiner; Mark Dras (ALTA, 2007)

Statistical Machine Translation of Australian Aboriginal Languages: Morphological Analysis with Languages of Differing Morphological Richness. - Simon Zwarts; Mark Dras (ALTA, 2007)

GLEU: Automatic Evaluation of Sentence-Level Fluency. - Andrew Mutton; Mark Dras; Stephen Wan 001; Robert Dale (ACL, 2007)

The Impact of Deep Linguistic Processing on Parsing Technology. - Timothy Baldwin; Mark Dras; Julia Hockenmaier; Tracy Holloway King; Gertjan van Noord (IWPT, 2007)

Syntax-based word reordering in phrase-based statistical machine translation: why does it work? - Simon Zwarts; Mark Dras (MTSummit, 2007)

Morphosyntactic Target Language Matching in Statistical Machine Translation. - Simon Zwarts; Mark Dras (ALTA, 2008)

Choosing the Right Translation: A Syntactically Informed Classification Approach. - Simon Zwarts; Mark Dras (COLING, 2008)

Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns. - Stephen Wan 001; Robert Dale; Mark Dras; Cécile Paris (EMNLP, 2008)

Approaches for semantic interoperability between domain ontologies. - Bhavna Orgun; Mark Dras; Abhaya C. Nayak; Geoff James (Expert Syst. J. Knowl. Eng., 2008)

Contrastive Analysis and Native Language Identification. - Sze-Meng Jojo Wong; Mark Dras (ALTA, 2009)

Using Hypernymy Acquisition to Tackle (Part of) Textual Entailment. - Elena Akhmatova; Mark Dras (TextInfer@ACL, 2009)

Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument Satisfaction Model. - Stephen Wan 001; Mark Dras; Robert Dale; Cécile Paris (EACL, 2009)

A New Subtree-Transfer Approach to Syntax-Based Reordering for Statistical Machine Translation. - Maxim Khalilov; José A. R. Fonollosa; Mark Dras (EAMT, 2009)

Coupling Hierarchical Word Reordering and Decoding in Phrase-Based Statistical Machine Translation. - Maxim Khalilov; José A. R. Fonollosa; Mark Dras (SSST@HLT-NAACL, 2009)

Dual-Path Phrase-Based Statistical Machine Translation. - Susan Howlett; Mark Dras (ALTA, 2010)

Parser Features for Sentence Grammaticality Classification. - Sze-Meng Jojo Wong; Mark Dras (ALTA, 2010)

Deceptive agents and language. - Mark Dras; Debbie Richards 001; Meredith Taylor; Mary Gardiner (AAMAS, 2010)

Spanning Tree Approaches for Statistical Sentence Generation. - Stephen Wan 001; Mark Dras; Robert Dale; Cécile Paris (Empirical Methods in Natural Language Generation, 2010)

Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar. - François Lareau; Mark Dras; Benjamin Börschinger; Robert Dale (ALTA, 2011)

Topic Modeling for Native Language Identification. - Sze-Meng Jojo Wong; Mark Dras; Mark Johnson 001 (ALTA, 2011)

Clause Restructuring For SMT Not Absolutely Helpful. - Susan Howlett; Mark Dras (ACL (2), 2011)

Exploiting Parse Structures for Native Language Identification. - Sze-Meng Jojo Wong; Mark Dras (EMNLP, 2011)

Detecting Interesting Event Sequences for Sports Reporting. - François Lareau; Mark Dras; Robert Dale (ENLG, 2011)

Valence Shifting: Is It A Valid Task? - Mary Gardiner; Mark Dras (ALTA, 2012)

Active Learning and the Irish Treebank. - Teresa Lynn; Jennifer Foster; Mark Dras; Elaine Uí Dhonnchadha (ALTA, 2012)

Is Bad Structure Better Than No Structure?: Unsupervised Parsing for Realisation Ranking. - Yasaman Motazedi; Mark Dras; François Lareau (COLING, 2012)

Exploring Adaptor Grammars for Native Language Identification. - Sze-Meng Jojo Wong; Mark Dras; Mark Johnson 001 (EMNLP-CoNLL, 2012)

Irish Treebanking and Parsing: A Preliminary Evaluation. - Teresa Lynn; Özlem Çetinoglu; Jennifer Foster; Elaine Uí Dhonnchadha; Mark Dras; Josef van Genabith (LREC, 2012)

Tree Edit Distance as a Baseline Approach for Paraphrase Representation. - Marta Vila; Mark Dras (Proces. del Leng. Natural, 2012)

Working with a small dataset - semi-supervised dependency parsing for Irish. - Teresa Lynn; Jennifer Foster; Mark Dras (SPMRL@EMNLP, 2013)

NLI Shared Task 2013: MQ Submission. - Shervin Malmasi; Sze-Meng Jojo Wong; Mark Dras (BEA@NAACL-HLT, 2013)

Finnish Native Language Identification. - Shervin Malmasi; Mark Dras (ALTA, 2014)

Chinese Native Language Identification. - Shervin Malmasi; Mark Dras (EACL, 2014)

Language Transfer Hypotheses with Linear SVM Weights. - Shervin Malmasi; Mark Dras (EMNLP, 2014)

From Visualisation to Hypothesis Construction for Second Language Acquisition. - Shervin Malmasi; Mark Dras (TextGraphs@EMNLP, 2014)

Arabic Native Language Identification. - Shervin Malmasi; Mark Dras (ANLP@EMNLP, 2014)

Cognate Identification using Machine Translation. - Shervin Malmasi; Mark Dras (ALTA, 2015)

Clinical Information Extraction Using Word Representations. - Shervin Malmasi; Hamed Hassanzadeh; Mark Dras (ALTA, 2015)

Oracle and Human Baselines for Native Language Identification. - Shervin Malmasi; Joel R. Tetreault; Mark Dras (BEA@NAACL-HLT, 2015)

Large-Scale Native Language Identification with Cross-Corpus Evaluation. - Shervin Malmasi; Mark Dras (HLT-NAACL, 2015)

Location Mention Detection in Tweets and Microblogs. - Shervin Malmasi; Mark Dras (PACLING, 2015)

Arabic Dialect Identification Using a Parallel Multidialectal Corpus. - Shervin Malmasi; Eshrag Refaee; Mark Dras (PACLING, 2015)

Norwegian Native Language Identification. - Shervin Malmasi; Mark Dras; Irina P. Temnikova (RANLP, 2015)

Evaluating Human Pairwise Preference Judgments. - Mark Dras (Comput. Linguistics, 2015)

An empirical study for Vietnamese dependency parsing. - Dat Quoc Nguyen; Mark Dras; Mark Johnson 001 (ALTA, 2016)

Modeling Language Change in Historical Corpora: The Case of Portuguese. - Marcos Zampieri; Shervin Malmasi; Mark Dras (LREC, 2016)

Predicting Post Severity in Mental Health Forums. - Shervin Malmasi; Marcos Zampieri; Mark Dras (CLPsych@HLT-NAACL, 2016)

LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles. - Shervin Malmasi; Mark Dras; Marcos Zampieri (SemEval@NAACL-HLT, 2016)

Predicting word choice in affective text. - Mary Gardiner; Mark Dras (Nat. Lang. Eng., 2016)

From Word Segmentation to POS Tagging for Vietnamese. - Dat Quoc Nguyen; Thanh Vu; Dai Quoc Nguyen; Mark Dras; Mark Johnson 001 (ALTA, 2017)

Stock Market Prediction with Deep Learning: A Character-based Neural Language Model for Event-based Trading. - Leonardo dos Santos Pinheiro; Mark Dras (ALTA, 2017)

Feature Hashing for Language and Dialect Identification. - Shervin Malmasi; Mark Dras (ACL (2), 2017)

Unsupervised Text Segmentation Based on Native Language Characteristics. - Shervin Malmasi; Mark Dras; Mark Johnson 001; Lan Du 002; Magdalena Wolska (ACL (1), 2017)

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing. - Dat Quoc Nguyen; Mark Dras; Mark Johnson 001 (CoNLL Shared Task (2), 2017)

Morphological Features of the Irish Universal Dependencies Treebank. - Teresa Lynn; Jennifer Foster; Mark Dras (TLT, 2017)

Native Language Identification using Stacked Generalization. - Shervin Malmasi; Mark Dras (CoRR, 2017)

Multilingual native language identification. - Shervin Malmasi; Mark Dras (Nat. Lang. Eng., 2017)

Predicting accuracy on large datasets from smaller pilot data. - Mark Johnson 001; Peter Anderson 001; Mark Dras; Mark Steedman (ACL (2), 2018)

Processing Text for Privacy: An Information Flow Perspective. - Natasha Fernandes; Mark Dras; Annabelle McIver (FM, 2018)

A Fast and Accurate Vietnamese Word Segmenter. - Dat Quoc Nguyen; Dai Quoc Nguyen; Thanh Vu; Mark Dras; Mark Johnson 001 (LREC, 2018)

VnCoreNLP: A Vietnamese Natural Language Processing Toolkit. - Thanh Vu; Dat Quoc Nguyen; Dai Quoc Nguyen; Mark Dras; Mark Johnson 001 (NAACL-HLT (Demonstrations), 2018)

Face-Cap: Image Captioning Using Facial Expression Analysis. - Omid Mohamad Nezami; Mark Dras; Peter Anderson 001; Len Hamey (ECML/PKDD (1), 2018)

Native Language Identification With Classifier Stacking and Ensembles. - Shervin Malmasi; Mark Dras (Comput. Linguistics, 2018)

Author Obfuscation Using Generalised Differential Privacy. - Natasha Fernandes; Mark Dras; Annabelle McIver (CoRR, 2018)

Deep Learning for Domain Adaption: Engagement Recognition. - Omid Mohamad Nezami; Len Hamey; Deborah Richards 001; Mark Dras (CoRR, 2018)

Senti-Attend: Image Captioning using Sentiment and Attention. - Omid Mohamad Nezami; Mark Dras; Stephen Wan 001; Cécile Paris (CoRR, 2018)

Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression. - Omid Mohamad Nezami; Mark Dras; Len Hamey; Deborah Richards 001; Stephen Wan 001; Cécile Paris (ECML/PKDD (3), 2019)

Generalised Differential Privacy for Text Document Processing. - Natasha Fernandes; Mark Dras; Annabelle McIver (POST, 2019)

Towards Generating Stylized Image Captions via Adversarial Training. - Omid Mohamad Nezami; Mark Dras; Stephen Wan 001; Cécile Paris; Len Hamey (PRICAI (1), 2019)

Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System. - Chakaveh Saedi; Mark Dras (*SEM@COLING, 2020)

Image Captioning using Facial Expression and Attention. - Omid Mohamad Nezami; Mark Dras; Stephen Wan 001; Cécile Paris (J. Artif. Intell. Res., 2020)

Mention Flags (MF): Constraining Transformer-based Text Generators. - Yufei Wang 003; Ian D. Wood; Stephen Wan 001; Mark Dras; Mark Johnson 001 (ACL/IJCNLP (1), 2021)

The Structure of Team Search Behaviors with Varying Access to Information. - Matthew Prants; James Simpson; Patrick Nalepka; Rachel W. Kallen; Mark Dras; Erik D. Reichle; Simon Hosking; Christopher J. Best; Michael J. Richardson (CogSci, 2021)

Tip of the Finger or Tip of the Tongue?: The Effects of Verbal Communication on Online Multi-Player Team Performance. - James Simpson; Patrick Nalepka; Cassandra L. Crone; Rachel W. Kallen; Mark Dras; Erik D. Reichle; Simon G. Hosking; Christopher J. Best; Deborah Richards 001; Michael J. Richardson (CSCW Companion, 2021)

Augmentation of Electronic Medical Record Data for Deep Learning. - Georgina Kennedy; Mark Dras; Blanca Gallego (MedInfo, 2021)

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. - Yufei Wang 003; Can Xu; Huang Hu; Chongyang Tao; Stephen Wan 001; Mark Dras; Mark Johnson 001; Daxin Jiang (NeurIPS, 2021)

Siamese networks for large-scale author identification. - Chakaveh Saedi; Mark Dras (Comput. Speech Lang., 2021)

Pick-Object-Attack: Type-specific adversarial attack for object detection. - Omid Mohamad Nezami; Akshay Chaturvedi; Mark Dras; Utpal Garain (Comput. Vis. Image Underst., 2021)

DesertWoZ: A Wizard of Oz Environment to Support the Design of Collaborative Conversational Agents. - James Simpson; Hamish Stening; Patrick Nalepka; Mark Dras; Erik D. Reichle; Simon Hosking; Christopher J. Best; Deborah Richards 001; Michael J. Richardson (CSCW Companion, 2022)

Few-shot fine-tuning SOTA summarization models for medical dialogues. - David Fraile Navarro; Mark Dras; Shlomo Berkovsky (NAACL-HLT (Student Research Workshop), 2022)

Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations. - Na Liu; Mark Dras; Wei Emma Zhang (RepL4NLP@ACL, 2022)

Assessing Team Effectiveness by How Players Structure Their Search in a First-Person Multiplayer Video Game. - Patrick Nalepka; Matthew Prants; Hamish Stening; James Simpson; Rachel W. Kallen; Mark Dras; Erik D. Reichle; Simon G. Hosking; Christopher J. Best; Michael J. Richardson (Cogn. Sci., 2022)

Directional Privacy for Deep Learning. - Pedro Faustini; Natasha Fernandes; Annabelle McIver; Mark Dras (CoRR, 2022)

Deep reinforcement learning guided graph neural networks for brain network analysis. - Xusheng Zhao; Jia Wu 001; Hao Peng 001; Amin Beheshti; Jessica J. M. Monaghan; David McAlpine; Heivet Hernandez-Perez; Mark Dras; Qiong Dai; Yangyang Li; Philip S. Yu; Lifang He 001 (Neural Networks, 2022)

How do People Perceive Collaborative Conversational Agents? - James Simpson; Patrick Nalepka; Hamish Stening; Mark Dras; Rachel W. Kallen; Deborah Richards 001; Michael J. Richardson (CogSci, 2023)

Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. - Haolong Xiang; Xuyun Zhang; Mark Dras; Amin Beheshti; Wanchun Dou; Xiaolong Xu 001 (ICDM, 2023)

OptIForest: Optimal Isolation Forest for Anomaly Detection. - Haolong Xiang; Xuyun Zhang; Hongsheng Hu; Lianyong Qi; Wanchun Dou; Mark Dras; Amin Beheshti; Xiaolong Xu 001 (IJCAI, 2023)

What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples. - Shakila Mahjabin Tonni; Mark Dras (IJCNLP (Findings), 2023)

Capturing and Predicting User Frustration to Support a Smart Operating System. - Sepideh Goodarzy; Eric Keller; Maziyar Nazari; Eric Rozner; Richard Han 001; Mark Dras; Young Choon Lee; Deborah Richards 001 (IUI Companion, 2023)

Identifying Which Relational Cues Users Find Helpful to Allow Tailoring of e-Coach Dialogues. - Sana Salman; Debbie Richards 001; Mark Dras (Multimodal Technol. Interact., 2023)

Collaboration, not Confrontation: Understanding General Practitioners' Attitudes Towards Natural Language and Text Automation in Clinical Practice. - David Fraile Navarro; Ahmet Baki Kocaballi; Mark Dras; Shlomo Berkovsky (ACM Trans. Comput. Hum. Interact., 2023)

Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review. - David Fraile Navarro; Kiran Ijaz; Dana Rezazadegan; Hania Rahimi-Ardabili; Mark Dras; Enrico W. Coiera; Shlomo Berkovsky (Int. J. Medical Informatics, 2023)

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge. - Ansh Arora; Xuanli He; Maximilian Mozes; Srinibas Swain; Mark Dras; Qiongkai Xu (ACL (Findings), 2024)

Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients. - Weijun Li 003; Qiongkai Xu; Mark Dras (EMNLP, 2024)

Bayes' capacity as a measure for reconstruction attacks in federated learning. - Sayan Biswas; Mark Dras; Pedro Faustini; Natasha Fernandes; Annabelle McIver; Catuscia Palamidessi; Parastoo Sadeghi (CoRR, 2024)

IDT: Dual-Task Adversarial Attacks for Privacy Protection. - Pedro Faustini; Shakila Mahjabin Tonni; Annabelle McIver; Qiongkai Xu; Mark Dras (CoRR, 2024)

Suspiciousness of Adversarial Texts to Human. - Shakila Mahjabin Tonni; Pedro Faustini; Mark Dras (CoRR, 2024)

Temporally Rich Deep Learning Models for Magnetoencephalography. - Tim Chard; Mark Dras; Paul F. Sowman; Steve Cassidy; Jia Wu 001 (Trans. Mach. Learn. Res., 2024)

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare. - Anudeex Shetty; Amin Beheshti; Mark Dras; Usman Naseem (ACL (1), 2025)

PolyMinder: A Support System for Entity Annotation and Relation Extraction in Polymer Science Documents. - Owen Rambow; Leo Wanner; Marianna Apidianaki; Hend Al-Khalifa 001; Barbara Di Eugenio; Steven Schockaert; Brodie Mather; Mark Dras (COLING (Demonstrations), 2025)

Towards Teams being Led by a Conversational Agent. - James Simpson; Hamish Stening; Patrick Nalepka; Mark Dras; Rachel W. Kallen; Simon G. Hosking; Michael J. Richardson; Deborah Richards 001 (CUI, 2025)

LLMs as Historical Actors: How AI Systems Influence the Web's Evolution. - Usman Naseem; Junaid Rashid; Junguen Kim; Amin Beheshti; Jian Yang 001; Mark Dras (WWW (Companion Volume), 2025)

KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. - Yingqing Yuan; Linwei Tao; Haohui Lu; Matloob Khushi; Imran Razzak; Mark Dras; Jian Yang 001; Usman Naseem (WWW (Companion Volume), 2025)

Negotiation games with structured post-hoc intents. - David Warren; Mark Dras; Malcolm Ryan 001 (Pattern Recognit. Lett., 2025)

Comparing privacy notions for protection against reconstruction attacks in machine learning. - Sayan Biswas; Mark Dras; Pedro Faustini; Natasha Fernandes; Annabelle McIver; Catuscia Palamidessi; Parastoo Sadeghi (CoRR, 2025)

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation. - Syed Talal Ahmad; Haohui Lu; Sidong Liu; Annie Lau; Amin Beheshti; Mark Dras; Usman Naseem (CoRR, 2025)

Empirical Calibration and Metric Differential Privacy in Language Models. - Pedro Faustini; Natasha Fernandes; Annabelle McIver; Mark Dras (CoRR, 2025)

Defending Deep Neural Networks against Backdoor Attacks via Module Switching. - Weijun Li 003; Ansh Arora; Xuanli He; Mark Dras; Qiongkai Xu (CoRR, 2025)

Bi-directional Model Cascading with Proxy Confidence. - David Warren; Mark Dras (CoRR, 2025)

A Survey on Progress in LLM Alignment from the Perspective of Reward Design. - Miaomiao Ji; Yanqiu Wu 002; Zhibin Wu; Shoujin Wang; Jian Yang 001; Mark Dras; Usman Naseem (CoRR, 2025)

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack. - Juan Ren; Mark Dras; Usman Naseem (CoRR, 2025)

Probing Politico-Economic Bias in Multilingual Large Language Models: A Cultural Analysis of Low-Resource Pakistani Languages. - Afrozah Nadeem; Mark Dras; Usman Naseem (CoRR, 2025)

Should LLM Safety Be More Than Refusing Harmful Instructions? - Utsav Maskey; Mark Dras; Usman Naseem (CoRR, 2025)

Steering Towards Fairness: Mitigating Political Bias in LLMs. - Afrozah Nadeem; Mark Dras; Usman Naseem (CoRR, 2025)

SafeConstellations: Steering LLM Safety to Reduce Over-Refusals Through Task-Specific Trajectory. - Utsav Maskey; Sumit Yadav; Mark Dras; Usman Naseem (CoRR, 2025)

Myanmar XNLI: building a dataset and exploring low-resource approaches to natural language inference with Myanmar. - Kyaw Htet Aung; Mark Dras (Lang. Resour. Evaluation, 2025)