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ALTA 2019: Sydney, Australia
- Meladel Mistica, Massimo Piccardi, Andrew MacKinlay:
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, ALTA 2019, Sydney, Australia, December 4-6, 2019. Australasian Language Technology Association 2019 - William Lane, Steven Bird:
Towards A Robust Morphological Analyzer for Kunwinjku. 1-9 - Zhuohan Xie, Jey Han Lau, Trevor Cohn:
From Shakespeare to Li-Bai: Adapting a Sonnet Model to Chinese Poetry. 10-18 - Patrick Jacob, Alexandra L. Uitdenbogerd:
Readability of Twitter Tweets for Second Language Learners. 19-27 - Dat Quoc Nguyen:
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing. 28-34 - Qianji Di, Ekaterina Vylomova, Tim Baldwin:
Modelling Tibetan Verbal Morphology. 35-40 - Hanieh Poostchi, Massimo Piccardi:
A multi-constraint structured hinge loss for named-entity recognition. 41-46 - Aili Shen, Bahar Salehi, Jianzhong Qi, Timothy Baldwin:
Feature-guided Neural Model Training for Supervised Document Representation Learning. 47-51 - Wenyi Tay, Aditya Joshi, Xiuzhen Zhang, Sarvnaz Karimi, Stephen Wan:
Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. 52-60 - Shima Khanehzar, Andrew Turpin, Gosia Mikolajczak:
Modeling Political Framing Across Policy Issues and Contexts. 61-66 - Fajri Koto, Jey Han Lau, Timothy Baldwin:
Improved Document Modelling with a Neural Discourse Parser. 67-76 - Gaurav Arora, Afshin Rahimi, Timothy Baldwin:
Does an LSTM forget more than a CNN? An empirical study of catastrophic forgetting in NLP. 77-86 - Alvin Kennardi, Gabriela Ferraro, Qing Wang:
Domain Adaptation for Low-Resource Neural Semantic Parsing. 87-93 - Xuanli He, Quan Hung Tran, Gholamreza Haffari:
A Pointer Network Architecture for Context-Dependent Semantic Parsing. 94-99 - Hiyori Yoshikawa, Dat Quoc Nguyen, Zenan Zhai, Christian Druckenbrodt, Camilo Thorne, Saber A. Akhondi, Timothy Baldwin, Karin Verspoor:
Detecting Chemical Reactions in Patents. 100-110 - Thanh Vu, Anthony N. Nguyen, Nathan J. Brown, James Hughes:
Identifying Patients with Pain in Emergency Departments using Conventional Machine Learning and Deep Learning. 111-119 - Connor Stead, Stephen Smith, Peter Busch, Savanid Vatanasakdakul:
Emerald 110k: A Multidisciplinary Dataset for Abstract Sentence Classification. 120-125 - Bayzid Ashik Hossain, Gayathri Rajan, Rolf Schwitter:
CNL-ER: A Controlled Natural Language for Specifying and Verbalising Entity Relationship Models. 126-135 - Phuoc Nguyen, Alexandra L. Uitdenbogerd:
Measuring English Readability for Vietnamese Speakers. 136-145 - Gabriela Ferraro, Zoe Piper, Rebecca Hinton:
FindHer: a Filter to Find Women Experts. 146-150 - Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics. 151-158 - Chak Yan Yeung, John Lee, Benjamin K. Tsou:
Difficulty-aware Distractor Generation for Gap-Fill Items. 159-164 - Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing:
Investigating the Effect of Lexical Segmentation in Transformer-based Models on Medical Datasets. 165-171 - Islam Nassar, Michelle Ananda-Rajah, Gholamreza Haffari:
Neural Versus Non-Neural Text Simplification: A Case Study. 172-177 - Wenyv Guan, Qianying Liu, Guangzhi Han, Bin Wang, Sujian Li:
An Improved Coarse-to-Fine Method for Solving Generation Tasks. 178-185 - Andrey Shcherbakov, Ekaterina Vylomova:
A string-to-graph constructive alignment algorithm for discrete and probabilistic language modeling. 186-191 - Diego Mollá, Aditya Joshi:
Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification. 192-196 - Pradeesh Parameswaran, Andrew Trotman, Veronica Liesaputra, David M. Eyers:
Detecting Target of Sarcasm using Ensemble Methods. 197-203
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