Patrick Schone
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 16
- Topic Modeling 12
- Speech and dialogue systems 5
- Speech Recognition and Synthesis 5
- Signal Processing top 10%
- Music and Audio Processing 3
- Computer Science Applications top 10%
- Information Systems top 10%
- Information Retrieval and Search Behavior 1
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- Handwritten Text Recognition Techniques 2
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- Lexicography and Language Studies 1
- Co-authors
- Daniel JurafskyPaul McNameeHelen MengWai-Kit LoM. M. ReidDerek L. HansenHsin‐Min WangRichard Schwartz
- Journals
- Computer Speech & Language (1 paper)International Joint Conference on Natural Language Processing (1 paper)Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- United StatesHong KongTaiwan
In The Last Decade
Patrick Schone
21 papers receiving 481 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 531
- Signal Processing 60
- Computer Science Applications 26
- Communication 32
- Information Systems 57
Countries citing papers authored by Patrick Schone
This map shows the geographic impact of Patrick Schone'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 Patrick Schone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Schone more than expected).
Fields of papers citing papers by Patrick Schone
This network shows the impact of papers produced by Patrick Schone. 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 Patrick Schone. The network helps show where Patrick Schone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick Schone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 2 | |
| 2 | 2013 | 35 | |
| 3 | 2011 | 2 | |
| 4 | An Evaluation of Technologies for Knowledge Base Population | 2010 | 28 |
| 5 | Learning Named Entity Hyponyms for Question Answering | 2008 | 21 |
| 6 | Mining Wiki Resources for Multilingual Named Entity Recognition | 2008 | 77 |
| 7 | 2006 | 1 | |
| 8 | QACTIS-based Question Answering at TREC 2005. | 2005 | 4 |
| 9 | 2005 | 1 | |
| 10 | Question Answering with QACTIS at TREC-2004 | 2004 | 2 |
| 11 | 2003 | 41 | |
| 12 | 2003 | 10 | |
| 13 | 2003 | 76 | |
| 14 | 2002 | 7 | |
| 15 | Is Knowledge-Free Induction of Multiword Unit Dictionary Headwords a Solved Problem? | 2001 | 82 |
| 16 | 2001 | 4 | |
| 17 | Toward knowledge-free induction of machine-readable dictionaries | 2001 | 4 |
| 18 | 2001 | 87 | |
| 19 | 2001 | 12 | |
| 20 | 2000 | 75 |
About Patrick Schone
Patrick Schone is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 21 papers that have together received 573 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (12 papers), Speech and dialogue systems (5 papers), Speech Recognition and Synthesis (5 papers), Music and Audio Processing (3 papers), Handwritten Text Recognition Techniques (2 papers), Information Retrieval and Search Behavior (1 paper) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Artificial Intelligence (531 citations), Signal Processing (60 citations) and Computer Science Applications (26 citations). Patrick Schone has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Daniel Jurafsky, Paul McNamee, Helen Meng, Wai-Kit Lo, M. M. Reid, Derek L. Hansen, Hsin‐Min Wang, Richard Schwartz, Daben Liu and Gang Ji. Their work appears in journals such as Computer Speech & Language, International Joint Conference on Natural Language Processing, Empirical Methods in Natural Language Processing, Electronic Imaging and Meeting of the Association for Computational Linguistics.
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.