Search Results for author: Aldrian Obaja Muis

Found 10 papers, 3 papers with code

Analyzing Incorporation of Emotion in Emoji Prediction

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.

The ARIEL-CMU Systems for LoReHLT18

no code implementations24 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).

Machine Translation Translation

Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators

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.

Learning to Recognize Discontiguous Entities

1 code implementation EMNLP 2016 Aldrian Obaja Muis, Wei Lu

This paper focuses on the study of recognizing discontiguous entities.

Weak Semi-Markov CRFs for NP Chunking in Informal Text

no code implementations19 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).

Chunking

Efficient Dependency-Guided Named Entity Recognition

1 code implementation19 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).

Named Entity Recognition NER +1

MalwareTextDB: A Database for Annotated Malware Articles

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.

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