Mari Ostendorf
About
In The Last Decade
Mari Ostendorf
269 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 6.5k
- Experimental and Cognitive Psychology 1.8k
- Signal Processing 1.7k
- Computer Vision and Pattern Recognition 575
- Linguistics and Language 560
Countries citing papers authored by Mari Ostendorf
This map shows the geographic impact of Mari Ostendorf'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 Mari Ostendorf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mari Ostendorf more than expected).
Fields of papers citing papers by Mari Ostendorf
This network shows the impact of papers produced by Mari Ostendorf. 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 Mari Ostendorf. The network helps show where Mari Ostendorf may publish in the future.
Co-authorship network of co-authors of Mari Ostendorf
This figure shows the co-authorship network connecting the top 25 collaborators of Mari Ostendorf. A scholar is included among the top collaborators of Mari Ostendorf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mari Ostendorf. Mari Ostendorf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 12 | |
| 4 | Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction breakdown → | 335 |
| 5 | 23 | |
| 6 | Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing. | 3 |
| 7 | 7 | |
| 8 | Deep Reinforcement Learning with an Unbounded Action Space. | 3 |
| 9 | Question Detection in Spoken Conversations Using Textual Conversations | 5 |
| 10 | 12 | |
| 11 | Automatic Generation of Personalized Annotation Tags for Twitter Users | 71 |
| 12 | Extracting Phrase Patterns with Minimum Redundancy for Unsupervised Speaker Role Classification | 4 |
| 13 | Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers | 27 |
| 14 | Progress in Meeting Recognition: The ICSI-SRI-UW Spring 2004 Evaluation System | 12 |
| 15 | HLT-NAACL 2003 : Human Language Technology conference of the North American Chapter of the Association for Computational Linguistics : proceedings of the main conference : May 27 to June 1, 2003, Edmonton, Alberta, Canada | 36 |
| 16 | HLT-NAACL 2003 : Human Language Technology conference of the North American Chapter of the Association for Computational Linguistics: companion volume : short parers, student research workshop, demonstrations, tutorial abstracts : May 27 to June 1, 2003, Edmonton, Alberta, Canada | 7 |
| 17 | Prosody and phonetic variability: Lessons learned from acoustic model clustering | 7 |
| 18 | Robust information extraction from spoken language data. | 7 |
| 19 | A dynamical system model for generating F0 for synthesis. | 12 |
| 20 | A hierarchical stochastic model for automatic prediction of prosodic boundary location | 50 |
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.