Manfred Pinkal
About
In The Last Decade
Manfred Pinkal
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 990
- Computer Vision and Pattern Recognition 563
- Language and Linguistics 132
- Information Systems 81
- Signal Processing 79
Countries citing papers authored by Manfred Pinkal
This map shows the geographic impact of Manfred Pinkal'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 Manfred Pinkal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manfred Pinkal more than expected).
Fields of papers citing papers by Manfred Pinkal
This network shows the impact of papers produced by Manfred Pinkal. 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 Manfred Pinkal. The network helps show where Manfred Pinkal may publish in the future.
Co-authorship network of co-authors of Manfred Pinkal
This figure shows the co-authorship network connecting the top 25 collaborators of Manfred Pinkal. A scholar is included among the top collaborators of Manfred Pinkal 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 Manfred Pinkal. Manfred Pinkal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge | 19 |
| 2 | Sequence to Sequence Learning for Event Prediction | 2 |
| 3 | A Corpus of Literal and Idiomatic Uses of German Infinitive-Verb Compounds | 5 |
| 4 | A Crowdsourced Database of Event Sequence Descriptions for the Acquisition of High-quality Script Knowledge. | 15 |
| 5 | 20 | |
| 6 | 11 | |
| 7 | Aligning Predicate-Argument Structures for Paraphrase Fragment Extraction | 2 |
| 8 | Improving the Performance of Standard Part-of-Speech Taggers for Computer-Mediated Communication. | 4 |
| 9 | Using the text to evaluate short answers for reading comprehension exercises | 20 |
| 10 | 230 | |
| 11 | A Comparison of Knowledge-based Algorithms for Graded Word Sense Assignment | 0 |
| 12 | Word Meaning in Context: A Simple and Effective Vector Model | 43 |
| 13 | Learning Script Participants from Unlabeled Data | 13 |
| 14 | Generating FrameNets of various granularities: The FrameNet Transformer | 4 |
| 15 | Contextualizing Semantic Representations Using Syntactically Enriched Vector Models | 62 |
| 16 | Acoustic side-channel attacks on printers | 112 |
| 17 | Learning Script Knowledge with Web Experiments | 78 |
| 18 | Natural and Intuitive Multimodal Dialogue for In-Car Applications: The Sammie System | 15 |
| 19 | Tutorial dialogs on mathematical proofs | 24 |
| 20 | 1 |
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.