Daniel Dahlmeier
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Text Readability and Simplification
- Speech and dialogue systems
- Information Systems top 5%
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 23
- Natural Language Processing Techniques 17
- Sentiment Analysis and Opinion Mining 8
- Advanced Text Analysis Techniques 6
- Text Readability and Simplification 5
- Text and Document Classification Technologies 3
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- Software Engineering Research 4
- Co-authors
- Hwee Tou Ng (18 shared papers)Sinno Jialin Pan (3 shared papers)Wenya Wang (3 shared papers)Ruidan He (4 shared papers)Xiaokui Xiao (2 shared papers)Wee Sun Lee (3 shared papers)Siew Mei Wu (1 shared paper)Wee Sun Lee (1 shared paper)
- Journals
- Bioinformatics (1 paper)Artificial Intelligence (1 paper)Lecture notes in computer science (1 paper)Advances in intelligent systems and computing (1 paper)International Journal of Machine Learning and Computing (1 paper)
- Partner nations
- SingaporeUnited KingdomGermany
In The Last Decade
Daniel Dahlmeier
34 papers receiving 2.0k citations
Daniel Dahlmeier's Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 2.1k
- Information Systems 238
- General Social Sciences 27
- Transportation 36
- Computer Vision and Pattern Recognition 107
Countries citing papers authored by Daniel Dahlmeier
This map shows the geographic impact of Daniel Dahlmeier'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 Daniel Dahlmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dahlmeier more than expected).
Fields of papers citing papers by Daniel Dahlmeier
This network shows the impact of papers produced by Daniel Dahlmeier. 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 Daniel Dahlmeier. The network helps show where Daniel Dahlmeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dahlmeier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms Hit paper breakdown → | 2017 | 305 |
| 2 | Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis Hit paper breakdown → | 2016 | 302 |
| 3 | 2017 | 281 | |
| 4 | Building a Large Annotated Corpus of Learner English: The NUS Corpus of Learner English | 2013 | 243 |
| 5 | Better Evaluation for Grammatical Error Correction | 2012 | 228 |
| 6 | 2018 | 170 | |
| 7 | Effective Attention Modeling for Aspect-Level Sentiment Classification | 2018 | 111 |
| 8 | Grammatical Error Correction with Alternating Structure Optimization | 2011 | 65 |
| 9 | 2010 | 54 | |
| 10 | A Beam-Search Decoder for Grammatical Error Correction | 2012 | 52 |
| 11 | 2018 | 48 | |
| 12 | Correcting Semantic Collocation Errors with L1-induced Paraphrases | 2011 | 42 |
| 13 | Not So Unique in the Crowd: a Simple and Effective Algorithm for Anonymizing Location Data. | 2014 | 32 |
| 14 | 2017 | 30 | |
| 15 | Better Evaluation Metrics Lead to Better Machine Translation | 2011 | 30 |
| 16 | TESLA: Translation Evaluation of Sentences with Linear-Programming-Based Analysis | 2010 | 29 |
| 17 | 2009 | 25 | |
| 18 | PEM: A Paraphrase Evaluation Metric Exploiting Parallel Texts | 2010 | 22 |
| 19 | 2009 | 21 | |
| 20 | NUS at the HOO 2012 Shared Task | 2012 | 20 |
About Daniel Dahlmeier
Daniel Dahlmeier is a scholar working on Artificial Intelligence, Information Systems, Transportation, Molecular Biology and Signal Processing, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (17 papers), Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (6 papers), Text Readability and Simplification (5 papers), Software Engineering Research (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Information Systems (238 citations), General Social Sciences (27 citations), Transportation (36 citations) and Computer Vision and Pattern Recognition (107 citations). Daniel Dahlmeier has collaborated with scholars based in Singapore, United Kingdom and Germany. Frequent co-authors include Hwee Tou Ng, Sinno Jialin Pan, Wenya Wang, Ruidan He, Xiaokui Xiao, Wee Sun Lee, Siew Mei Wu, Wee Sun Lee, Chang Liu and Stéphane Bressan. Their work appears in journals such as Bioinformatics, Artificial Intelligence, Lecture notes in computer science, Advances in intelligent systems and computing and International Journal of Machine Learning and Computing.
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.