Ann Bies
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Semantic Web and Ontologies
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Authorship Attribution and Profiling
- Language and Linguistics top 5%
Papers in
-
- Natural Language Processing Techniques 40
- Topic Modeling 35
- Semantic Web and Ontologies 16
- Speech and dialogue systems 6
- Text Readability and Simplification 6
- Advanced Text Analysis Techniques 3
- Algorithms and Data Compression 3
-
- Biomedical Text Mining and Ontologies 3
- Co-authors
- Karen Katz (2 shared papers)Mark Ferguson (2 shared papers)Robert MacIntyre (2 shared papers)Mohamed Maamouri (18 shared papers)Seth Kulick (25 shared papers)Mitchell P. Marcus (2 shared papers)Grace Kim (1 shared paper)Stephanie Strassel (17 shared papers)
- Journals
- Language Resources and Evaluation (18 papers)Theory and applications of categories (1 paper)Lecture notes in computer science (1 paper)International Journal of Behavioral Medicine (1 paper)Scholarly Commons (University of Pennsylvania) (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Ann Bies
44 papers receiving 1.3k citations
Ann Bies's Hit Papers
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 1.4k
- Language and Linguistics 151
- Information Systems 120
- Computer Vision and Pattern Recognition 95
- Linguistics and Language 20
Countries citing papers authored by Ann Bies
This map shows the geographic impact of Ann Bies'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 Ann Bies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Bies more than expected).
Fields of papers citing papers by Ann Bies
This network shows the impact of papers produced by Ann Bies. 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 Ann Bies. The network helps show where Ann Bies may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann Bies, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Penn Treebank Hit paper breakdown → | 1994 | 546 |
| 2 | Bracketing Guidelines For Treebank II Style Penn Treebank Project | 1995 | 223 |
| 3 | Integrated Annotation for Biomedical Information Extraction | 2004 | 149 |
| 4 | 2015 | 99 | |
| 5 | 2004 | 75 | |
| 6 | 2015 | 42 | |
| 7 | 2014 | 42 | |
| 8 | 2014 | 42 | |
| 9 | 2008 | 41 | |
| 10 | 2006 | 39 | |
| 11 | Overview of Linguistic Resources for the TAC KBP 2015 Evaluations: Methodologies and Results. | 2015 | 32 |
| 12 | 2008 | 30 | |
| 13 | 2006 | 22 | |
| 14 | Enhanced Annotation and Parsing of the Arabic Treebank | 2008 | 19 |
| 15 | Syntax and Discourse Factors in Early New High German: Evidence for Verb-Final Word Order | 1996 | 14 |
| 16 | Situational Awareness for Low Resource Languages: the LORELEI Situation Frame Annotation Task. | 2017 | 13 |
| 17 | 2016 | 12 | |
| 18 | 2010 | 11 | |
| 19 | 2010 | 10 | |
| 20 | 2005 | 10 |
About Ann Bies
Ann Bies is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Language and Linguistics and Computer Networks and Communications, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (40 papers), Topic Modeling (35 papers), Semantic Web and Ontologies (16 papers), Speech and dialogue systems (6 papers), Text Readability and Simplification (6 papers), Advanced Text Analysis Techniques (3 papers), Algorithms and Data Compression (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Language and Linguistics (151 citations), Information Systems (120 citations), Computer Vision and Pattern Recognition (95 citations) and Linguistics and Language (20 citations). Ann Bies has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Karen Katz, Mark Ferguson, Robert MacIntyre, Mohamed Maamouri, Seth Kulick, Mitchell P. Marcus, Grace Kim, Stephanie Strassel, Zhiyi Song and Martha Palmer. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, Lecture notes in computer science, International Journal of Behavioral Medicine and Scholarly Commons (University of Pennsylvania).
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.