C. Brew
About
In The Last Decade
C. Brew
59 papers receiving 879 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 821
- Information Systems 129
- Developmental and Educational Psychology 83
- Education 81
- Language and Linguistics 71
Countries citing papers authored by C. Brew
This map shows the geographic impact of C. Brew'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 C. Brew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Brew more than expected).
Fields of papers citing papers by C. Brew
This network shows the impact of papers produced by C. Brew. 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 C. Brew. The network helps show where C. Brew may publish in the future.
Co-authorship network of co-authors of C. Brew
This figure shows the co-authorship network connecting the top 25 collaborators of C. Brew. A scholar is included among the top collaborators of C. Brew 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 C. Brew. C. Brew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | TR Discover: A Natural Language Question Answering System for Interlinked Datasets. | 1 |
| 2 | Towards Effective Tutorial Feedback for Explanation Questions: A Dataset and Baselines | 42 |
| 3 | Semantic Role Labeling Without Treebanks | 1 |
| 4 | What a Parser Can Learn from a Semantic Role Labeler and Vice Versa | 4 |
| 5 | A Pilot Arabic CCGbank | 2 |
| 6 | 17 | |
| 7 | 14 | |
| 8 | Which Are the Best Features for Automatic Verb Classification | 18 |
| 9 | Statistical Identification of English Loanwords in Korean Using Automatically Generated Training Data | 3 |
| 10 | BLEUÂTRE: flattening syntactic dependencies for MT evaluation. | 6 |
| 11 | A Cross-language Approach to Rapid Creation of New Morpho-syntactically Annotated Resources | 18 |
| 12 | 27 | |
| 13 | A Resource-light Approach to Russian Morphology: Tagging Russian using Czech resources. | 24 |
| 14 | 34 | |
| 15 | Error-Driven Learning of Chinese Word Segmentation | 19 |
| 16 | Lexical Clustering and Definite Description Interpretation | 15 |
| 17 | 15 | |
| 18 | Stochastic HPSG | 16 |
| 19 | Human Language Technology, Proceedings of a Workshop held at Plainsboro, New Jerey, USA, March 8-11, 1994 | 2 |
| 20 | Systemic classification and its efficiency | 6 |
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.