Bill MacCartney
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
- Information Systems top 2%
Papers in
-
- Natural Language Processing Techniques 12
- Topic Modeling 12
- Semantic Web and Ontologies 6
- Advanced Text Analysis Techniques 2
- Text Readability and Simplification 2
- Speech and dialogue systems 1
-
- Stock Market Forecasting Methods 1
- Co-authors
- Christopher D. ManningMarie-Catherine de MarneffeMichel GalleyTrond GrenagerDaniel CerMihai SurdeanuDan JurafskyEric Yeh
- Journals
- Language Resources and Evaluation (1 paper)Theory and applications of categories (1 paper)International Joint Conference on Artificial Intelligence (1 paper)National Conference on Artificial Intelligence (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)
- Partner nations
- United States
In The Last Decade
Bill MacCartney
15 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 2.0k
- Information Systems 345
- Software 47
- Computer Vision and Pattern Recognition 204
- Management Science and Operations Research 75
Countries citing papers authored by Bill MacCartney
This map shows the geographic impact of Bill MacCartney'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 Bill MacCartney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill MacCartney more than expected).
Fields of papers citing papers by Bill MacCartney
This network shows the impact of papers produced by Bill MacCartney. 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 Bill MacCartney. The network helps show where Bill MacCartney may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill MacCartney, 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 | On the Importance of Text Analysis for Stock Price Prediction | 2014 | 48 |
| 2 | Natural language inference | 2009 | 119 |
| 3 | 2009 | 98 | |
| 4 | Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment. | 2008 | 13 |
| 5 | 2008 | 72 | |
| 6 | 2008 | 96 | |
| 7 | Robust Graph Alignment Methods for Textual Inference and Machine Reading. | 2007 | 2 |
| 8 | 2007 | 88 | |
| 9 | 2007 | 54 | |
| 10 | Generating Typed Dependency Parses from Phrase Structure Parses Hit paper breakdown → | 2006 | 1527 |
| 11 | 2006 | 91 | |
| 12 | Robust Textual Inference using Diverse Knowledge Sources | 2005 | 22 |
| 13 | Statistical resolution of scope ambiguity in natural language | 2004 | 5 |
| 14 | 2004 | 22 | |
| 15 | Practical partition-based theorem proving for large knowledge bases | 2003 | 27 |
About Bill MacCartney
Bill MacCartney is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Networks and Communications and Political Science and International Relations, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (12 papers), Semantic Web and Ontologies (6 papers), Advanced Text Analysis Techniques (2 papers), Biomedical Text Mining and Ontologies (2 papers), Text Readability and Simplification (2 papers), Stock Market Forecasting Methods (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (2.0k citations), Information Systems (345 citations), Software (47 citations), Computer Vision and Pattern Recognition (204 citations) and Management Science and Operations Research (75 citations). Bill MacCartney has collaborated with scholars based in United States. Frequent co-authors include Christopher D. Manning, Marie-Catherine de Marneffe, Michel Galley, Trond Grenager, Daniel Cer, Mihai Surdeanu, Dan Jurafsky, Eric Yeh, Eyal Amir and Sheila A. McIlraith. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, International Joint Conference on Artificial Intelligence, National Conference on Artificial Intelligence and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).
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.