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Mark Dras
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- affiliation: Macquarie University, Sydney, Australia
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2020 – today
- 2024
- [j15]Tim Chard, Mark Dras, Paul F. Sowman, Steve Cassidy, Jia Wu:
Temporally Rich Deep Learning Models for Magnetoencephalography. Trans. Mach. Learn. Res. 2024 (2024) - [i30]Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu:
Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge. CoRR abs/2402.19334 (2024) - [i29]Weijun Li, Qiongkai Xu, Mark Dras:
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients. CoRR abs/2406.00999 (2024) - [i28]Sayan Biswas, Mark Dras, Pedro Faustini, Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, Parastoo Sadeghi:
Bayes' capacity as a measure for reconstruction attacks in federated learning. CoRR abs/2406.13569 (2024) - [i27]Pedro Faustini, Shakila Mahjabin Tonni, Annabelle McIver, Qiongkai Xu, Mark Dras:
IDT: Dual-Task Adversarial Attacks for Privacy Protection. CoRR abs/2406.19642 (2024) - 2023
- [j14]David Fraile Navarro
, Kiran Ijaz
, Dana Rezazadegan
, Hania Rahimi-Ardabili
, Mark Dras
, Enrico W. Coiera
, Shlomo Berkovsky
:
Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review. Int. J. Medical Informatics 177: 105122 (2023) - [j13]Sana Salman, Debbie Richards
, Mark Dras
:
Identifying Which Relational Cues Users Find Helpful to Allow Tailoring of e-Coach Dialogues. Multimodal Technol. Interact. 7(10): 93 (2023) - [j12]David Fraile Navarro
, Ahmet Baki Kocaballi
, Mark Dras
, Shlomo Berkovsky
:
Collaboration, not Confrontation: Understanding General Practitioners' Attitudes Towards Natural Language and Text Automation in Clinical Practice. ACM Trans. Comput. Hum. Interact. 30(2): 1-34 (2023) - [c89]James Simpson, Patrick Nalepka, Hamish Stening, Mark Dras, Rachel W. Kallen, Deborah Richards, Michael J. Richardson:
How do People Perceive Collaborative Conversational Agents? CogSci 2023 - [c88]Haolong Xiang, Xuyun Zhang
, Mark Dras
, Amin Beheshti
, Wanchun Dou, Xiaolong Xu:
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. ICDM 2023: 678-687 - [c87]Haolong Xiang, Xuyun Zhang
, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras
, Amin Beheshti
, Xiaolong Xu:
OptIForest: Optimal Isolation Forest for Anomaly Detection. IJCAI 2023: 2379-2387 - [c86]Shakila Mahjabin Tonni, Mark Dras
:
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples. IJCNLP (Findings) 2023: 392-411 - [c85]Sepideh Goodarzy
, Eric Keller
, Maziyar Nazari
, Eric Rozner
, Richard Han
, Mark Dras
, Young Choon Lee
, Deborah Richards
:
Capturing and Predicting User Frustration to Support a Smart Operating System. IUI Companion 2023: 29-32 - [i26]Haolong Xiang, Xuyun Zhang, Hongsheng Hu, Lianyong Qi, Wanchun Dou, Mark Dras, Amin Beheshti, Xiaolong Xu:
OptIForest: Optimal Isolation Forest for Anomaly Detection. CoRR abs/2306.12703 (2023) - [i25]Shakila Mahjabin Tonni, Mark Dras:
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples. CoRR abs/2309.10916 (2023) - 2022
- [j11]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:
Assessing Team Effectiveness by How Players Structure Their Search in a First-Person Multiplayer Video Game. Cogn. Sci. 46(10) (2022) - [j10]Xusheng Zhao, Jia Wu
, Hao Peng, Amin Beheshti
, Jessica J. M. Monaghan
, David McAlpine
, Heivet Hernandez-Perez
, Mark Dras
, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154: 56-67 (2022) - [c84]James Simpson
, Hamish Stening
, Patrick Nalepka
, Mark Dras
, Erik D. Reichle
, Simon Hosking
, Christopher J. Best
, Deborah Richards
, Michael J. Richardson
:
DesertWoZ: A Wizard of Oz Environment to Support the Design of Collaborative Conversational Agents. CSCW Companion 2022: 188-192 - [c83]David Fraile Navarro, Mark Dras, Shlomo Berkovsky:
Few-shot fine-tuning SOTA summarization models for medical dialogues. NAACL-HLT (Student Research Workshop) 2022: 254-266 - [c82]Na Liu, Mark Dras
, Wei Emma Zhang
:
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations. RepL4NLP@ACL 2022: 78-90 - [i24]Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica Monaghan, David McAlpine, Heivet Hernandez-Perez
, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis. CoRR abs/2203.10093 (2022) - [i23]Na Liu, Mark Dras, Wei Emma Zhang:
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations. CoRR abs/2204.13853 (2022) - [i22]Pedro Faustini, Natasha Fernandes, Annabelle McIver, Mark Dras:
Directional Privacy for Deep Learning. CoRR abs/2211.04686 (2022) - 2021
- [j9]Chakaveh Saedi, Mark Dras
:
Siamese networks for large-scale author identification. Comput. Speech Lang. 70: 101241 (2021) - [j8]Omid Mohamad Nezami
, Akshay Chaturvedi, Mark Dras
, Utpal Garain
:
Pick-Object-Attack: Type-specific adversarial attack for object detection. Comput. Vis. Image Underst. 211: 103257 (2021) - [c81]Yufei Wang
, Ian D. Wood
, Stephen Wan, Mark Dras
, Mark Johnson
:
Mention Flags (MF): Constraining Transformer-based Text Generators. ACL/IJCNLP (1) 2021: 103-113 - [c80]Matthew Prants, James Simpson, Patrick Nalepka, Rachel W. Kallen, Mark Dras, Erik D. Reichle, Simon Hosking, Christopher J. Best, Michael J. Richardson:
The Structure of Team Search Behaviors with Varying Access to Information. CogSci 2021 - [c79]James Simpson
, Patrick Nalepka
, Cassandra L. Crone
, Rachel W. Kallen
, Mark Dras
, Erik D. Reichle
, Simon G. Hosking
, Christopher J. Best, Deborah Richards
, Michael J. Richardson:
Tip of the Finger or Tip of the Tongue?: The Effects of Verbal Communication on Online Multi-Player Team Performance. CSCW Companion 2021: 175-178 - [c78]Georgina Kennedy, Mark Dras
, Blanca Gallego:
Augmentation of Electronic Medical Record Data for Deep Learning. MedInfo 2021: 582-586 - [c77]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. NeurIPS 2021: 16938-16950 - [i21]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. CoRR abs/2107.13077 (2021) - 2020
- [j7]Omid Mohamad Nezami
, Mark Dras
, Stephen Wan, Cécile Paris:
Image Captioning using Facial Expression and Attention. J. Artif. Intell. Res. 68: 661-689 (2020) - [c76]Chakaveh Saedi, Mark Dras:
Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System. *SEM@COLING 2020: 179-189 - [i20]Omid Mohamad Nezami, Akshay Chaturvedi, Mark Dras, Utpal Garain:
Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection. CoRR abs/2006.03184 (2020)
2010 – 2019
- 2019
- [c75]Omid Mohamad Nezami
, Mark Dras
, Len Hamey
, Deborah Richards
, Stephen Wan, Cécile Paris:
Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression. ECML/PKDD (3) 2019: 273-289 - [c74]Natasha Fernandes
, Mark Dras
, Annabelle McIver
:
Generalised Differential Privacy for Text Document Processing. POST 2019: 123-148 - [c73]Omid Mohamad Nezami
, Mark Dras
, Stephen Wan, Cécile Paris, Len Hamey
:
Towards Generating Stylized Image Captions via Adversarial Training. PRICAI (1) 2019: 270-284 - [i19]Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris:
Image Captioning using Facial Expression and Attention. CoRR abs/1908.02923 (2019) - [i18]Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris, Len Hamey:
Towards Generating Stylized Image Captions via Adversarial Training. CoRR abs/1908.02943 (2019) - [i17]Chakaveh Saedi
, Mark Dras:
Siamese Networks for Large-Scale Author Identification. CoRR abs/1912.10616 (2019) - 2018
- [j6]Shervin Malmasi, Mark Dras
:
Native Language Identification With Classifier Stacking and Ensembles. Comput. Linguistics 44(3) (2018) - [c72]Mark Johnson
, Peter Anderson
, Mark Dras
, Mark Steedman:
Predicting accuracy on large datasets from smaller pilot data. ACL (2) 2018: 450-455 - [c71]Natasha Fernandes
, Mark Dras
, Annabelle McIver
:
Processing Text for Privacy: An Information Flow Perspective. FM 2018: 3-21 - [c70]Dat Quoc Nguyen, Dai Quoc Nguyen, Thanh Vu, Mark Dras, Mark Johnson:
A Fast and Accurate Vietnamese Word Segmenter. LREC 2018 - [c69]Thanh Vu, Dat Quoc Nguyen, Dai Quoc Nguyen, Mark Dras, Mark Johnson:
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit. NAACL-HLT (Demonstrations) 2018: 56-60 - [c68]Omid Mohamad Nezami
, Mark Dras
, Peter Anderson
, Len Hamey
:
Face-Cap: Image Captioning Using Facial Expression Analysis. ECML/PKDD (1) 2018: 226-240 - [i16]Thanh Vu, Dat Quoc Nguyen, Dai Quoc Nguyen, Mark Dras, Mark Johnson:
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit. CoRR abs/1801.01331 (2018) - [i15]Natasha Fernandes, Mark Dras, Annabelle McIver:
Author Obfuscation Using Generalised Differential Privacy. CoRR abs/1805.08866 (2018) - [i14]Omid Mohamad Nezami, Mark Dras, Peter Anderson, Len Hamey:
Face-Cap: Image Captioning using Facial Expression Analysis. CoRR abs/1807.02250 (2018) - [i13]Omid Mohamad Nezami, Len Hamey, Deborah Richards, Mark Dras:
Deep Learning for Domain Adaption: Engagement Recognition. CoRR abs/1808.02324 (2018) - [i12]Omid Mohamad Nezami, Mark Dras, Stephen Wan, Cécile Paris:
Senti-Attend: Image Captioning using Sentiment and Attention. CoRR abs/1811.09789 (2018) - [i11]Natasha Fernandes, Mark Dras, Annabelle McIver:
Generalised Differential Privacy for Text Document Processing. CoRR abs/1811.10256 (2018) - 2017
- [j5]Shervin Malmasi, Mark Dras
:
Multilingual native language identification. Nat. Lang. Eng. 23(2): 163-215 (2017) - [c67]Shervin Malmasi, Mark Dras
:
Feature Hashing for Language and Dialect Identification. ACL (2) 2017: 399-403 - [c66]Shervin Malmasi, Mark Dras
, Mark Johnson
, Lan Du
, Magdalena Wolska:
Unsupervised Text Segmentation Based on Native Language Characteristics. ACL (1) 2017: 1457-1469 - [c65]Leonardo dos Santos Pinheiro, Mark Dras:
Stock Market Prediction with Deep Learning: A Character-based Neural Language Model for Event-based Trading. ALTA 2017: 6-15 - [c64]Dat Quoc Nguyen, Thanh Vu, Dai Quoc Nguyen, Mark Dras, Mark Johnson:
From Word Segmentation to POS Tagging for Vietnamese. ALTA 2017: 108-113 - [c63]Dat Quoc Nguyen
, Mark Dras
, Mark Johnson
:
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing. CoNLL Shared Task (2) 2017: 134-142 - [c62]Teresa Lynn, Jennifer Foster, Mark Dras:
Morphological Features of the Irish Universal Dependencies Treebank. TLT 2017: 111-122 - [i10]Shervin Malmasi, Mark Dras:
Native Language Identification using Stacked Generalization. CoRR abs/1703.06541 (2017) - [i9]Dat Quoc Nguyen
, Mark Dras, Mark Johnson:
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing. CoRR abs/1705.05952 (2017) - [i8]Dat Quoc Nguyen, Dai Quoc Nguyen, Thanh Vu, Mark Dras, Mark Johnson:
A Fast and Accurate Vietnamese Word Segmenter. CoRR abs/1709.06307 (2017) - [i7]Dat Quoc Nguyen, Thanh Vu, Dai Quoc Nguyen, Mark Dras, Mark Johnson:
From Word Segmentation to POS Tagging for Vietnamese. CoRR abs/1711.04951 (2017) - 2016
- [j4]Mary Gardiner, Mark Dras
:
Predicting word choice in affective text. Nat. Lang. Eng. 22(1): 97-134 (2016) - [c61]Dat Quoc Nguyen, Mark Dras, Mark Johnson:
An empirical study for Vietnamese dependency parsing. ALTA 2016: 143-149 - [c60]Marcos Zampieri, Shervin Malmasi, Mark Dras:
Modeling Language Change in Historical Corpora: The Case of Portuguese. LREC 2016 - [c59]Shervin Malmasi, Marcos Zampieri, Mark Dras:
Predicting Post Severity in Mental Health Forums. CLPsych@HLT-NAACL 2016: 133-137 - [c58]Shervin Malmasi, Mark Dras
, Marcos Zampieri:
LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles. SemEval@NAACL-HLT 2016: 996-1000 - [i6]Marcos Zampieri, Shervin Malmasi, Mark Dras:
Modeling Language Change in Historical Corpora: The Case of Portuguese. CoRR abs/1610.00030 (2016) - [i5]Dat Quoc Nguyen, Mark Dras, Mark Johnson:
An empirical study for Vietnamese dependency parsing. CoRR abs/1611.00995 (2016) - 2015
- [j3]Mark Dras
:
Evaluating Human Pairwise Preference Judgments. Comput. Linguistics 41(2): 337-345 (2015) - [c57]Shervin Malmasi, Hamed Hassanzadeh, Mark Dras:
Clinical Information Extraction Using Word Representations. ALTA 2015: 66-74 - [c56]Shervin Malmasi, Mark Dras:
Cognate Identification using Machine Translation. ALTA 2015: 138-141 - [c55]Shervin Malmasi, Joel R. Tetreault, Mark Dras:
Oracle and Human Baselines for Native Language Identification. BEA@NAACL-HLT 2015: 172-178 - [c54]Shervin Malmasi, Mark Dras
:
Large-Scale Native Language Identification with Cross-Corpus Evaluation. HLT-NAACL 2015: 1403-1409 - [c53]Shervin Malmasi, Eshrag Refaee
, Mark Dras
:
Arabic Dialect Identification Using a Parallel Multidialectal Corpus. PACLING 2015: 35-53 - [c52]Shervin Malmasi, Mark Dras
:
Location Mention Detection in Tweets and Microblogs. PACLING 2015: 123-134 - [c51]Shervin Malmasi, Mark Dras, Irina P. Temnikova:
Norwegian Native Language Identification. RANLP 2015: 404-412 - 2014
- [c50]Shervin Malmasi, Mark Dras:
Finnish Native Language Identification. ALTA 2014: 139-144 - [c49]Shervin Malmasi, Mark Dras:
Chinese Native Language Identification. EACL 2014: 95-99 - [c48]Shervin Malmasi, Mark Dras
:
Language Transfer Hypotheses with Linear SVM Weights. EMNLP 2014: 1385-1390 - [c47]Shervin Malmasi, Mark Dras:
From Visualisation to Hypothesis Construction for Second Language Acquisition. TextGraphs@EMNLP 2014: 56-64 - [c46]Shervin Malmasi, Mark Dras:
Arabic Native Language Identification. ANLP@EMNLP 2014: 180-186 - 2013
- [c45]Teresa Lynn, Jennifer Foster, Mark Dras:
Working with a small dataset - semi-supervised dependency parsing for Irish. SPMRL@EMNLP 2013: 1-11 - [c44]Shervin Malmasi, Sze-Meng Jojo Wong, Mark Dras:
NLI Shared Task 2013: MQ Submission. BEA@NAACL-HLT 2013: 124-133 - 2012
- [j2]Marta Vila, Mark Dras:
Tree Edit Distance as a Baseline Approach for Paraphrase Representation. Proces. del Leng. Natural 48: 89-95 (2012) - [c43]Teresa Lynn, Jennifer Foster, Mark Dras, Elaine Uí Dhonnchadha:
Active Learning and the Irish Treebank. ALTA 2012: 23-32 - [c42]Mary Gardiner, Mark Dras:
Valence Shifting: Is It A Valid Task? ALTA 2012: 42-51 - [c41]Yasaman Motazedi, Mark Dras, François Lareau:
Is Bad Structure Better Than No Structure?: Unsupervised Parsing for Realisation Ranking. COLING 2012: 1811-1830 - [c40]Sze-Meng Jojo Wong, Mark Dras, Mark Johnson:
Exploring Adaptor Grammars for Native Language Identification. EMNLP-CoNLL 2012: 699-709 - [c39]Teresa Lynn, Özlem Çetinoglu, Jennifer Foster, Elaine Uí Dhonnchadha, Mark Dras, Josef van Genabith:
Irish Treebanking and Parsing: A Preliminary Evaluation. LREC 2012: 1939-1946 - 2011
- [c38]Susan Howlett, Mark Dras:
Clause Restructuring For SMT Not Absolutely Helpful. ACL (2) 2011: 384-388 - [c37]François Lareau, Mark Dras, Benjamin Börschinger, Robert Dale:
Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar. ALTA 2011: 95-104 - [c36]Sze-Meng Jojo Wong, Mark Dras, Mark Johnson:
Topic Modeling for Native Language Identification. ALTA 2011: 115-124 - [c35]Sze-Meng Jojo Wong, Mark Dras:
Exploiting Parse Structures for Native Language Identification. EMNLP 2011: 1600-1610 - [c34]François Lareau, Mark Dras, Robert Dale:
Detecting Interesting Event Sequences for Sports Reporting. ENLG 2011: 200-205 - 2010
- [c33]Susan Howlett, Mark Dras:
Dual-Path Phrase-Based Statistical Machine Translation. ALTA 2010: 32-40 - [c32]Sze-Meng Jojo Wong, Mark Dras:
Parser Features for Sentence Grammaticality Classification. ALTA 2010: 67-75 - [c31]Mark Dras, Debbie Richards, Meredith Taylor, Mary Gardiner:
Deceptive agents and language. AAMAS 2010: 1539-1540 - [c30]Stephen Wan, Mark Dras
, Robert Dale
, Cécile Paris:
Spanning Tree Approaches for Statistical Sentence Generation. Empirical Methods in Natural Language Generation 2010: 13-44
2000 – 2009
- 2009
- [c29]Elena Akhmatova, Mark Dras:
Using Hypernymy Acquisition to Tackle (Part of) Textual Entailment. TextInfer@ACL 2009: 52-60 - [c28]Sze-Meng Jojo Wong, Mark Dras:
Contrastive Analysis and Native Language Identification. ALTA 2009: 53-61 - [c27]Stephen Wan, Mark Dras, Robert Dale, Cécile Paris:
Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument Satisfaction Model. EACL 2009: 852-860 - [c26]Maxim Khalilov, José A. R. Fonollosa, Mark Dras:
A New Subtree-Transfer Approach to Syntax-Based Reordering for Statistical Machine Translation. EAMT 2009 - [c25]Maxim Khalilov, José A. R. Fonollosa, Mark Dras:
Coupling Hierarchical Word Reordering and Decoding in Phrase-Based Statistical Machine Translation. SSST@HLT-NAACL 2009: 78-86 - 2008
- [j1]Bhavna Orgun, Mark Dras
, Abhaya C. Nayak
, Geoff James:
Approaches for semantic interoperability between domain ontologies. Expert Syst. J. Knowl. Eng. 25(3): 179-196 (2008) - [c24]Simon Zwarts, Mark Dras:
Morphosyntactic Target Language Matching in Statistical Machine Translation. ALTA 2008: 169-177 - [c23]Simon Zwarts, Mark Dras:
Choosing the Right Translation: A Syntactically Informed Classification Approach. COLING 2008: 1153-1160 - [c22]Stephen Wan, Robert Dale, Mark Dras, Cécile Paris:
Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns. EMNLP 2008: 543-552 - 2007
- [c21]Andrew Mutton, Mark Dras, Stephen Wan, Robert Dale:
GLEU: Automatic Evaluation of Sentence-Level Fluency. ACL 2007 - [c20]Elena Akhmatova, Mark Dras:
Entailment due to Syntactically Encoded Semantic Relationships. ALTA 2007: 4-12 - [c19]Mary Gardiner, Mark Dras:
Exploring Approaches to Discriminating among Near-Synonyms. ALTA 2007: 31-39 - [c18]Simon Zwarts, Mark Dras:
Statistical Machine Translation of Australian Aboriginal Languages: Morphological Analysis with Languages of Differing Morphological Richness. ALTA 2007: 134-142 - [c17]Timothy Baldwin, Mark Dras, Julia Hockenmaier, Tracy Holloway King, Gertjan van Noord:
The Impact of Deep Linguistic Processing on Parsing Technology. IWPT 2007: 36-38 - [c16]Simon Zwarts, Mark Dras:
Syntax-based word reordering in phrase-based statistical machine translation: why does it work? MTSummit 2007 - [e1]Nathalie Colineau, Mark Dras:
Proceedings of the Australasian Language Technology Workshop, ALTA 2007, Melbourne, Australia, December 10-11, 2007. Australasian Language Technology Association 2007 [contents] - 2006
- [c15]Stephen Wan, Mark Dras, Robert Dale, Cécile Paris:
Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase. ALTA 2006: 131-138 - [c14]Simon Zwarts, Mark Dras:
This Phrase-Based SMT System is Out of Order: Generalised Word Reordering in Machine Translation. ALTA 2006: 149-156 - [c13]Stephen Gilmour, Mark Dras
:
Kernelization as Heuristic Structure for the Vertex Cover Problem. ANTS Workshop 2006: 452-459 - 2005
- [c12]Mark Dras, Steve Cassidy:
Formal Grammars for Linguistic Treebank Queries. ALTA 2005: 96-104 - [c11]Stephen Wan, Mark Dras, Robert Dale, Cécile Paris:
Towards Statistical Paraphrase Generation: Preliminary Evaluations of Grammaticality. IWP@IJCNLP 2005 - [c10]Stephen Gilmour, Mark Dras:
A Two-Pronged Attack on the Dragon of Intractability. ACSC 2005: 183-192 - [c9]Stephen Gilmour, Mark Dras
:
Understanding the Pheromone System Within Ant Colony Optimization. Australian Conference on Artificial Intelligence 2005: 786-789 - [c8]Stephen Wan, Robert Dale, Mark Dras:
Searching for Grammaticality: Propagating Dependencies in the Viterbi Algorithm. ENLG 2005 - 2003
- [c7]Stephen Wan, Mark Dras, Cécile Paris, Robert Dale:
Straight to the point: Discovering themes for summary generation. ALTA 2003: 94-101 - 2002
- [c6]Mark Dras, Chung-hye Han:
Korean-English MT and S-TAG. TAG+ 2002: 206-215 - 2000
- [c5]William Schuler, David Chiang, Mark Dras:
Multi-Component TAG and Notions of Formal Power. ACL 2000: 448-455 - [c4]David Chiang, William Schuler, Mark Dras:
Some remarks on an extension of synchronous TAG. TAG+ 2000: 61-66 - [c3]Mark Dras, Tonia Bleam:
How problematic are clitics for S-TAG translation? TAG+ 2000: 241-244
1990 – 1999
- 1999
- [c2]Mark Dras
:
A Meta-Level Grammar: Redefining Synchronous TAG for Translation and Paraphrase. ACL 1999: 80-87 - 1997
- [c1]Mark Dras:
Representing Paraphrases Using Synchronous TAGs. ACL 1997: 516-518 - [i4]Mark Dras:
Reluctant Paraphrase: Textual Restructuring under an Optimisation Model. CoRR cmp-lg/9707001 (1997) - 1996
- [i3]Mark Dras, Mike Johnson:
Death and Lightness: Using a Demographic Model to Find Support Verbs. CoRR cmp-lg/9610001 (1996) - 1995
- [i2]Mark Dras:
Automatic Identification of Support Verbs: A Step Towards a Definition of Semantic Weight. CoRR abs/cmp-lg/9510007 (1995) - 1994
- [i1]Mark Lauer, Mark Dras:
A Probabilistic Model of Compound Nouns. CoRR abs/cmp-lg/9409003 (1994)
Coauthor Index
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