Chi-kiu Lo
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Molecular Biology
- Language and Linguistics
- Co-authors
- Dekai WuMichel SimardPatrick LittellCyril GoutteEric JoanisRebecca KnowlesRoland KühnTom Kocmi
- Topics
- Natural Language Processing Techniques (37 papers)Topic Modeling (35 papers)Text Readability and Simplification (15 papers)
- Journals
- Language Resources and EvaluationNPARCRare & Special e-Zone (The Hong Kong University of Science and Technology)
- Partner nations
- Hong KongCanadaUnited States
In The Last Decade
Chi-kiu Lo
37 papers receiving 377 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 441
- Computer Vision and Pattern Recognition 65
- Information Systems 33
- Molecular Biology 17
- Language and Linguistics 8
Countries citing papers authored by Chi-kiu Lo
This map shows the geographic impact of Chi-kiu Lo'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 Chi-kiu Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-kiu Lo more than expected).
Fields of papers citing papers by Chi-kiu Lo
This network shows the impact of papers produced by Chi-kiu Lo. 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 Chi-kiu Lo. The network helps show where Chi-kiu Lo may publish in the future.
Co-authorship network of co-authors of Chi-kiu Lo
This figure shows the co-authorship network connecting the top 25 collaborators of Chi-kiu Lo. A scholar is included among the top collaborators of Chi-kiu Lo 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 Chi-kiu Lo. Chi-kiu Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | The Nunavut Hansard Inuktitut-English Parallel Corpus 3.0 with Preliminary Machine Translation Results. | 20 |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | On the reliability and inter-annotator agreement of human semantic MT evaluation via HMEANT | 2 |
| 12 | Improving machine translation by training against an automatic semantic frame based evaluation metric | 14 |
| 13 | Accuracy and robustness in measuring the lexical similarity of semantic role fillers for automatic semantic MT evaluation | 7 |
| 14 | Unsupervised vs. supervised weight estimation for semantic MT evaluation metrics | 12 |
| 15 | Fully Automatic Semantic MT Evaluation | 41 |
| 16 | MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles | 55 |
| 17 | Structured vs. Flat Semantic Role Representations for Machine Translation Evaluation | 11 |
| 18 | 6 | |
| 19 | Evaluating Machine Translation Utility via Semantic Role Labels | 8 |
| 20 | Semantic vs. Syntactic vs. N-gram Structure for Machine Translation Evaluation | 6 |
About Chi-kiu Lo
Chi-kiu Lo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 39 papers that have together received 443 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (37 papers), Topic Modeling (35 papers) and Text Readability and Simplification (15 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Computer Vision and Pattern Recognition (65 citations) and Information Systems (33 citations). Chi-kiu Lo has collaborated with scholars based in Hong Kong, Canada and United States. Frequent co-authors include Dekai Wu, Michel Simard, Patrick Littell, Cyril Goutte, Eric Joanis, Rebecca Knowles, Roland Kühn, Tom Kocmi, Brian J. Thompson and Marine Carpuat. Their work appears in journals such as Language Resources and Evaluation, NPARC and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.