Hwee Tou Ng

173 papers receiving 7.9k citations

Hit Papers

A Machine Learning Approach to Coreference Resolution of ...2001202620092017200120082014200400600

Peers

Hwee Tou Ng
Comparison fields: 5 of 118
  • Artificial Intelligence 8.3k
  • Information Systems 1.2k
  • Computer Vision and Pattern Recognition 791
  • Molecular Biology 486
  • Management Science and Operations Research 253
Replace Yūji Matsumoto with:
Yūji Matsumoto Japan
Ido Dagan Israel
David McClosky United States
Patrick Pantel United States
Eneko Agirre Spain
Roberto Navigli Italy
Ryan McDonald United States
Wen-tau Yih United States
Jenny Rose Finkel United States
Miles Osborne United Kingdom
Hwee Tou Ng relative to Yūji Matsumoto Japan Yūji Matsumoto's profile →
Citations per field
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Yūji Matsumoto · 1×
Citations per year

Countries citing papers authored by Hwee Tou Ng

Since Specialization
Citations

This map shows the geographic impact of Hwee Tou Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hwee Tou Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hwee Tou Ng more than expected).

Fields of papers citing papers by Hwee Tou Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwee Tou Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hwee Tou Ng. The network helps show where Hwee Tou Ng may publish in the future.

Co-authorship network of co-authors of Hwee Tou Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Hwee Tou Ng. A scholar is included among the top collaborators of Hwee Tou Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hwee Tou Ng. Hwee Tou Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 55
4
A Reassessment of Reference-Based Grammatical Error Correction Metrics
8
5
Effective Attention Modeling for Aspect-Level Sentiment Classification
94
6 6
7
A Beam-Search Decoder for Disfluency Detection
3
8
Grammatical Error Correction Using Integer Linear Programming
15
9
Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English
232
10
Word Sense Disambiguation Improves Information Retrieval
54
11
Source Language Adaptation for Resource-Poor Machine Translation
9
12
Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
5
13
It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text
180
14
Joint Syntactic and Semantic Parsing of Chinese
29
15
Word Sense Disambiguation Improves Statistical Machine Translation
196
16
Learning Predictive Structures for Semantic Role Labeling of NomBank
24
17
A Statistical Language Modeling Approach to Lattice-Based Spoken Document Retrieval
11
18
Word sense disambiguation with distribution estimation
40
19 100
20
Abductive Plan Recognition and Diagnosis: A Comprehensive Empirical Evaluation
25

About Hwee Tou Ng

Hwee Tou Ng is a scholar working on Artificial Intelligence, Software and Information Systems, having authored 176 papers that have together received 8.9k indexed citations. Recurring topics across this work include Topic Modeling (147 papers), Natural Language Processing Techniques (142 papers) and Text Readability and Simplification (37 papers). The work is most often cited by research in Artificial Intelligence (8.3k citations), Information Systems (1.2k citations) and Computer Vision and Pattern Recognition (791 citations). Hwee Tou Ng has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Daniel Dahlmeier, Yee Seng Chan, Hai Leong Chieu, Mirella Lapata, Kaveh Taghipour, Min‐Yen Kan, Ziheng Lin, Shamil Chollampatt, Ruidan He and Siew Mei Wu. Their work appears in journals such as Bioinformatics, Computational Linguistics and ACM Transactions on Information Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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