Daniel Gildea
Impact in
- Artificial Intelligence top 0.1%
- Natural Language Processing Techniques
- Topic Modeling
- Semantic Web and Ontologies
- Speech and dialogue systems
- Text Readability and Simplification
- Algorithms and Data Compression
- Advanced Text Analysis Techniques
- Language and Linguistics top 1%
Papers in
-
- Natural Language Processing Techniques 100
- Topic Modeling 85
- Algorithms and Data Compression 28
- Speech and dialogue systems 17
- Speech Recognition and Synthesis 11
- Text Readability and Simplification 10
- Semantic Web and Ontologies 9
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- semigroups and automata theory 11
- Co-authors
- Daniel Jurafsky (7 shared papers)Martha Palmer (5 shared papers)Paul Kingsbury (1 shared paper)Ding Liu (6 shared papers)Linfeng Song (11 shared papers)David Temperley (4 shared papers)Yue Zhang (7 shared papers)Iftekhar Naim (10 shared papers)
- Journals
- Computational Linguistics (14 papers)Synthesis lectures on human language technologies (2 papers)Cognitive Science (2 papers)IEEE Transactions on Affective Computing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United StatesItalySingapore
In The Last Decade
Daniel Gildea
117 papers receiving 5.5k citations
Daniel Gildea's Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 5.7k
- Language and Linguistics 444
- Experimental and Cognitive Psychology 354
- Linguistics and Language 110
- Computer Vision and Pattern Recognition 452
Countries citing papers authored by Daniel Gildea
This map shows the geographic impact of Daniel Gildea'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 Daniel Gildea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gildea more than expected).
Fields of papers citing papers by Daniel Gildea
This network shows the impact of papers produced by Daniel Gildea. 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 Daniel Gildea. The network helps show where Daniel Gildea may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gildea, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Proposition Bank: An Annotated Corpus of Semantic Roles Hit paper breakdown → | 2005 | 1575 |
| 2 | Automatic Labeling of Semantic Roles Hit paper breakdown → | 2002 | 1213 |
| 3 | 2003 | 306 | |
| 4 | Corpus Variation and Parser Performance | 2001 | 209 |
| 5 | 2004 | 203 | |
| 6 | 2001 | 168 | |
| 7 | 2018 | 126 | |
| 8 | Syntactic Features for Evaluation of Machine Translation | 2005 | 123 |
| 9 | 2003 | 119 | |
| 10 | 2010 | 118 | |
| 11 | 2018 | 118 | |
| 12 | 2016 | 100 | |
| 13 | 2000 | 97 | |
| 14 | 2015 | 96 | |
| 15 | 2006 | 92 | |
| 16 | 2018 | 88 | |
| 17 | Semantic Role Features for Machine Translation | 2010 | 66 |
| 18 | 2003 | 62 | |
| 19 | 2005 | 60 | |
| 20 | Learning bias and phonological-rule induction | 1996 | 58 |
About Daniel Gildea
Daniel Gildea is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Computer Vision and Pattern Recognition and Information Systems, having authored 124 papers that have together received 6.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (100 papers), Topic Modeling (85 papers), Algorithms and Data Compression (28 papers), Speech and dialogue systems (17 papers), semigroups and automata theory (11 papers), Speech Recognition and Synthesis (11 papers), Text Readability and Simplification (10 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Artificial Intelligence (5.7k citations), Language and Linguistics (444 citations), Experimental and Cognitive Psychology (354 citations), Linguistics and Language (110 citations) and Computer Vision and Pattern Recognition (452 citations). Daniel Gildea has collaborated with scholars based in United States, Italy and Singapore. Frequent co-authors include Daniel Jurafsky, Martha Palmer, Paul Kingsbury, Ding Liu, Linfeng Song, David Temperley, Yue Zhang, Iftekhar Naim, Zhiguo Wang and Xiaochang Peng. Their work appears in journals such as Computational Linguistics, Synthesis lectures on human language technologies, Cognitive Science, IEEE Transactions on Affective Computing and IEEE Transactions on Knowledge and Data Engineering.
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.