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2020 – today
- 2023
[j7]Annika Marie Schoene
, Lana Bojanic, Minh-Quoc Nghiem, Isabelle M. Hunt, Sophia Ananiadou:
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks. IEEE Trans. Affect. Comput. 14(3): 1791-1802 (2023)- [c21]Minh-Quoc Nghiem, Nichola Roberts, Dmitry Sityaev:
Speaker Role Identification in Call Centre Dialogues: Leveraging Opening Sentences and Large Language Models. SIGDIAL 2023: 388-392 - 2022
- [c20]Minh-Quoc Nghiem, Paul Baylis, André Freitas, Sophia Ananiadou:
Text Classification and Prediction in the Legal Domain. LREC 2022: 4717-4722 - 2021
- [c19]Minh-Quoc Nghiem, Paul Baylis, Sophia Ananiadou:
Paladin: an annotation tool based on active and proactive learning. EACL (System Demonstrations) 2021: 238-243 - 2020
- [j6]Nhi-Thao Tran, Minh-Quoc Nghiem, Nhung Thi-Hong Nguyen, Ngan Luu-Thuy Nguyen, Nam Van Chi, Dien Dinh:
ViMs: a high-quality Vietnamese dataset for abstractive multi-document summarization. Lang. Resour. Evaluation 54(4): 893-920 (2020) - [j5]Chrysoula Zerva, Minh-Quoc Nghiem, Nhung T. H. Nguyen, Sophia Ananiadou:
Cited text span identification for scientific summarisation using pre-trained encoders. Scientometrics 125(3): 3109-3137 (2020)
2010 – 2019
- 2019
- [c18]Chrysoula Zerva, Minh-Quoc Nghiem, Nhung T. H. Nguyen, Sophia Ananiadou:
NaCTeM-UoM @ CL-SciSumm 2019. BIRNDL@SIGIR 2019: 167-180 - 2018
- [j4]Mai Duong, Minh-Quoc Nghiem, Ngan Luu-Thuy Nguyen:
Exploring alignment-classification methods in the context of professional writing assistance. Data Knowl. Eng. 114: 1-11 (2018) - [c17]Minh-Quoc Nghiem, Sophia Ananiadou:
APLenty: annotation tool for creating high-quality datasets using active and proactive learning. EMNLP (Demonstration) 2018: 108-113 - [i3]Vinh D. Van, Thien Thai, Minh-Quoc Nghiem:
Combining Convolution and Recursive Neural Networks for Sentiment Analysis. CoRR abs/1801.09053 (2018) - 2017
- [c16]Dung Tran Tuan, Nam Van Chi, Minh-Quoc Nghiem:
Multi-sentence Compression Using Word Graph and Integer Linear Programming. ACIIDS (Extended Posters) 2017: 367-377 - [c15]Vinh D. Van, Thien Thai, Minh-Quoc Nghiem:
Combining Convolution and Recursive Neural Networks for Sentiment Analysis. SoICT 2017: 151-158 - 2016
- [c14]Bao-Dai Nguyen-Hoang, Quang-Vinh Ha, Minh-Quoc Nghiem:
Aspect-Based Sentiment Analysis Using Word Embedding Restricted Boltzmann Machines. CSoNet 2016: 285-297 - [c13]Quang-Vinh Ha, Bao-Dai Nguyen-Hoang, Minh-Quoc Nghiem:
Lifelong Learning for Cross-Domain Vietnamese Sentiment Classification. CSoNet 2016: 298-308 - [c12]Mai Duong, Minh-Quoc Nghiem, Ngan Luu-Thuy Nguyen:
Alignment classification for professional writing assistance. KSE 2016: 181-186 - [c11]Hy Nguyen, Tung Le, Viet-Thang Luong, Minh-Quoc Nghiem, Dien Dinh:
The combination of similarity measures for extractive summarization. SoICT 2016: 66-72 - [c10]Nhi-Thao Tran, Viet-Thang Luong, Ngan Luu-Thuy Nguyen, Minh-Quoc Nghiem:
Effective attention-based neural architectures for sentence compression with bidirectional long short-term memory. SoICT 2016: 123-130 - 2015
- [j3]Nhung T. H. Nguyen, Vinh Q. Le, Minh-Quoc Nghiem, Dien Dinh:
A General Approach for Word Reordering in English-Vietnamese-English Statistical Machine Translation. Int. J. Artif. Intell. Tools 24(6): 1550024:1-1550024:23 (2015) - [c9]An-Vinh Luong, Nhi-Thao Tran, Van-Giau Ung, Minh-Quoc Nghiem:
Word Graph-Based Multi-sentence Compression: Re-ranking Candidates Using Frequent Words. KSE 2015: 55-60 - [c8]Van-Giau Ung, An-Vinh Luong, Nhi-Thao Tran, Minh-Quoc Nghiem:
Combination of Features for Vietnamese News Multi-document Summarization. KSE 2015: 186-191 - [c7]Nhi-Thao Tran, Van-Giau Ung, An-Vinh Luong, Minh-Quoc Nghiem, Ngan Luu-Thuy Nguyen:
Improving Vietnamese Sentence Compression by Segmenting Meaning Chunks. KSE 2015: 320-323 - 2014
- [b1]Minh-Quoc Nghiem:
Semantic Enrichment of Mathematical Expressions for Mathematical Search. Graduate University for Advanced Studies, Japan, 2014 - [c6]Minh-Quoc Nghiem, Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa:
Which One Is Better: Presentation-Based or Content-Based Math Search? CICM 2014: 200-212 - [i2]Minh-Quoc Nghiem, Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa:
Which one is better: presentation-based or content-based math search? CoRR abs/1405.3353 (2014) - 2013
- [j2]Minh-Quoc Nghiem, Giovanni Yoko Kristianto, Akiko Aizawa:
Using MathML Parallel Markup Corpora for Semantic Enrichment of Mathematical Expressions. IEICE Trans. Inf. Syst. 96-D(8): 1707-1715 (2013) - [c5]Minh-Quoc Nghiem, Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa:
Sense Disambiguation: From Natural Language Words to Mathematical Terms. IJCNLP 2013: 809-814 - [c4]Minh-Quoc Nghiem, Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa:
A Hybrid Approach for Semantic Enrichment of MathML Mathematical Expressions. MKM/Calculemus/DML 2013: 278-287 - [c3]Goran Topic, Giovanni Yoko Kristianto, Minh-Quoc Nghiem, Akiko Aizawa:
The MCAT Math Retrieval System for NTCIR-10 Math Track. NTCIR 2013 - [i1]Minh-Quoc Nghiem, Giovanni Yoko Kristianto, Goran Topic, Akiko Aizawa:
A hybrid approach for semantic enrichment of MathML mathematical expressions. CoRR abs/1305.7316 (2013) - 2012
- [c2]Giovanni Yoko Kristianto, Goran Topic, Minh-Quoc Nghiem, Akiko N. Aizawa:
Annotating scientific papers for mathematical formula search. ESAIR 2012: 17-18 - 2011
- [j1]Keisuke Yokoi, Minh-Quoc Nghiem, Yuichiroh Matsubayashi, Akiko Aizawa:
Contextual Analysis of Mathematical Expressions for Advanced Mathematical Search. Polibits 43: 81-86 (2011)
2000 – 2009
- 2008
- [c1]Minh-Quoc Nghiem, Dien Dinh, Mai Nguyen:
Improving Vietnamese POS tagging by integrating a rich feature set and Support Vector Machines. RIVF 2008: 128-133
Coauthor Index
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