Ted Briscoe
About
In The Last Decade
Ted Briscoe
96 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 3.4k
- Language and Linguistics 533
- Experimental and Cognitive Psychology 344
- Molecular Biology 282
- Information Systems 260
Countries citing papers authored by Ted Briscoe
This map shows the geographic impact of Ted Briscoe'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 Ted Briscoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Briscoe more than expected).
Fields of papers citing papers by Ted Briscoe
This network shows the impact of papers produced by Ted Briscoe. 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 Ted Briscoe. The network helps show where Ted Briscoe may publish in the future.
Co-authorship network of co-authors of Ted Briscoe
This figure shows the co-authorship network connecting the top 25 collaborators of Ted Briscoe. A scholar is included among the top collaborators of Ted Briscoe 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 Ted Briscoe. Ted Briscoe 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 | 135 | |
| 3 | Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task | 15 |
| 4 | 27 | |
| 5 | Automating Second Language Acquisition Research: Integrating Information Visualisation and Machine Learning | 6 |
| 6 | A New Dataset and Method for Automatically Grading ESOL Texts breakdown → | 322 |
| 7 | Adapting the RASP System for the CoNLL07 Domain-Adaptation Task | 5 |
| 8 | A System for Large-Scale Acquisition of Verbal, Nominal and Adjectival Subcategorization Frames from Corpora | 27 |
| 9 | Weakly Supervised Learning for Hedge Classification in Scientific Literature | 120 |
| 10 | Can Anaphoric Definite Descriptions be Replaced by Pronouns | 2 |
| 11 | Intermediate Parsing for Anaphora Resolution? Implementing the Lappin and Leass non-coreference filters | 1 |
| 12 | Robust accurate statistical annotation of general text | 183 |
| 13 | 18 | |
| 14 | Lexical rules in constraint-based grammars | 42 |
| 15 | Learning Stochastic Categorial Grammars | 17 |
| 16 | Developing and Evaluating a Probabilistic LR Parser of Part-of-Speech and Punctuation Labels | 21 |
| 17 | Generalized probabilistic LR parsing of natural language (Corpora) with unification-based grammars | 116 |
| 18 | Review of Corpus linguistics and the automatic analysis of English by Nelleke Oostdijk. Editions Rodopi 1991. | 2 |
| 19 | Large lexicons for natural language processing: utilising the grammar coding system of LDOCE | 48 |
| 20 | A formalism and environment for the development of a large grammar of English | 40 |
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.