no code implementations • 11 May 2020 • Lane Schwartz, Francis Tyers, Lori Levin, Christo Kirov, Patrick Littell, Chi-kiu Lo, Emily Prud'hommeaux, Hyunji Hayley Park, Kenneth Steimel, Rebecca Knowles, Jeffrey Micher, Lonny Strunk, Han Liu, Coleman Haley, Katherine J. Zhang, Robbie Jimmerson, Vasilisa Andriyanets, Aldrian Obaja Muis, Naoki Otani, Jong Hyuk Park, Zhisong Zhang
In the literature, languages like Finnish or Turkish are held up as extreme examples of complexity that challenge common modelling assumptions.
no code implementations • WS 2019 • Shirley Anugrah Hayati, Aldrian Obaja Muis
In this work, we investigate the impact of incorporating emotion classes on the task of predicting emojis from Twitter texts.
no code implementations • 24 Feb 2019 • Aditi Chaudhary, Siddharth Dalmia, Junjie Hu, Xinjian Li, Austin Matthews, Aldrian Obaja Muis, Naoki Otani, Shruti Rijhwani, Zaid Sheikh, Nidhi Vyas, Xinyi Wang, Jiateng Xie, Ruochen Xu, Chunting Zhou, Peter J. Jansen, Yiming Yang, Lori Levin, Florian Metze, Teruko Mitamura, David R. Mortensen, Graham Neubig, Eduard Hovy, Alan W. black, Jaime Carbonell, Graham V. Horwood, Shabnam Tafreshi, Mona Diab, Efsun S. Kayi, Noura Farra, Kathleen McKeown
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery and Linking (EDL), and detection of Situation Frames in Text and Speech (SF Text and Speech).
1 code implementation • EMNLP 2017 • Aldrian Obaja Muis, Wei Lu
We present some theoretical analysis on the differences between our model and a recently proposed model for recognizing overlapping mentions, and discuss the possible implications of the differences.
1 code implementation • 19 Oct 2018 • Zhanming Jie, Aldrian Obaja Muis, Wei Lu
It has been shown previously that such information can be used to improve the performance of NER (Sasano and Kurohashi 2008, Ling and Weld 2012).
1 code implementation • EMNLP 2016 • Aldrian Obaja Muis, Wei Lu
This paper focuses on the study of recognizing discontiguous entities.
no code implementations • 19 Oct 2018 • Aldrian Obaja Muis, Wei Lu
This paper introduces a new annotated corpus based on an existing informal text corpus: the NUS SMS Corpus (Chen and Kan, 2013).
no code implementations • ACL 2017 • Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu, Chen Hui Ong
Cybersecurity risks and malware threats are becoming increasingly dangerous and common.