Michele Banko
- Artificial Intelligence top 0.2%
- Topic Modeling 20
- Natural Language Processing Techniques 20
- Semantic Web and Ontologies 6
- Speech and dialogue systems 4
- Machine Learning and Algorithms 2
- Sentiment Analysis and Opinion Mining 2
- Hate Speech and Cyberbullying Detection 2
- Information Systems top 0.5%
- Web Data Mining and Analysis 7
- Signal Processing top 5%
- Communication top 5%
- Co-authors
- Oren EtzioniEric BrillStephen SoderlandMichael CafarellaDaniel S. WeldSusan DumaisJimmy LinAndrew Y. Ng
- Journals
- Communications of the ACM (1 paper)Meeting of the Association for Computational Linguistics (1 paper)Conference on Innovative Data Systems Research (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Michele Banko
24 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 3.1k
- Information Systems 1.1k
- Management Science and Operations Research 365
- Signal Processing 182
- Communication 82
Countries citing papers authored by Michele Banko
This map shows the geographic impact of Michele Banko'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 Michele Banko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Banko more than expected).
Fields of papers citing papers by Michele Banko
This network shows the impact of papers produced by Michele Banko. 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 Michele Banko. The network helps show where Michele Banko may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Michele Banko, 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 | 2021 | 13 | |
| 2 | 2020 | 33 | |
| 3 | 2019 | 2 | |
| 4 | 2019 | 2 | |
| 5 | Open information extraction for the web | 2009 | 96 |
| 6 | The Tradeoffs Between Open and Traditional Relation Extraction | 2008 | 213 |
| 7 | Structured querying of web text | 2007 | 21 |
| 8 | Open information extraction from the webbreakdown → | 2007 | 831 |
| 9 | 2007 | 49 | |
| 10 | 2007 | 190 | |
| 11 | Machine reading | 2006 | 68 |
| 12 | Relational Web Search | 2006 | 31 |
| 13 | Event-Centric Summary Generation | 2004 | 32 |
| 14 | 2002 | 3 | |
| 15 | 2002 | 196 | |
| 16 | 2002 | 193 | |
| 17 | AskMSR: Question Answering Using the Worldwide Web | 2002 | 30 |
| 18 | Data-intensive Question Answering | 2001 | 173 |
| 19 | 2001 | 8 | |
| 20 | 2000 | 151 |
About Michele Banko
Michele Banko is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 24 papers that have together received 3.5k indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (20 papers), Web Data Mining and Analysis (7 papers), Semantic Web and Ontologies (6 papers), Speech and dialogue systems (4 papers), Machine Learning and Algorithms (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Artificial Intelligence (3.1k citations), Information Systems (1.1k citations) and Management Science and Operations Research (365 citations). Michele Banko has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Oren Etzioni, Eric Brill, Stephen Soderland, Michael Cafarella, Daniel S. Weld, Susan Dumais, Jimmy Lin, Andrew Y. Ng, Vibhu O. Mittal and Michael Witbrock. Their work appears in journals such as Communications of the ACM, Meeting of the Association for Computational Linguistics and Conference on Innovative Data Systems Research.
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.