Jason Baldridge

87 papers receiving 2.7k citations

Hit Papers

Cross-Modal Contrastive Learning for Text-to-Image Genera...2021202620222024202150100150200

Peers

Jason Baldridge
Comparison fields: 5 of 95
  • Artificial Intelligence 2.2k
  • Computer Vision and Pattern Recognition 842
  • Geography, Planning and Development 320
  • Information Systems 269
  • Signal Processing 200
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Zhicheng Liu United States
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Citations per field
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Citations per year

Countries citing papers authored by Jason Baldridge

Since Specialization
Citations

This map shows the geographic impact of Jason Baldridge'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 Jason Baldridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Baldridge more than expected).

Fields of papers citing papers by Jason Baldridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Baldridge. 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 Jason Baldridge. The network helps show where Jason Baldridge may publish in the future.

Co-authorship network of co-authors of Jason Baldridge

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Baldridge. A scholar is included among the top collaborators of Jason Baldridge 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 Jason Baldridge. Jason Baldridge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 54
3 120
4
122
5
Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping
12
6
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
26
7
A recursive estimate for the predictive likelihood in a topic model
11
8
Learning a Part-of-Speech Tagger from Two Hours of Annotation
51
9
Text-Driven Toponym Resolution using Indirect Supervision
40
10
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
16
11
Supervised Text-based Geolocation Using Language Models on an Adaptive Grid
114
12
Simple supervised document geolocation with geodesic grids
138
13
Semantic Role Labeling Without Treebanks
1
14
A Logical Basis for the D Combinator and Normal Form in CCG
2
15
Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
12
16
A ranking approach to pronoun resolution
38
17
Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming
118
18
Probabilistic Head-Driven Parsing for Discourse Structure
31
19
Active Learning and the Total Cost of Annotation.
76
20
Adapting Chart Realization to CCG
29

About Jason Baldridge

Jason Baldridge is a scholar working on Artificial Intelligence, Geography, Planning and Development and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (59 papers), Topic Modeling (51 papers) and Multimodal Machine Learning Applications (23 papers). The work is most often cited by research in Artificial Intelligence (2.2k citations), Geography, Planning and Development (320 citations) and Computer Vision and Pattern Recognition (842 citations). Jason Baldridge has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Pascal Denis, Yinfei Yang, Miles Osborne, Geert-Jan M. Kruijff, Jing Yu Koh, Honglak Lee, Eugene Ie, Alexander Ku, Yuan Zhang and Dan Garrette. Their work appears in journals such as Proceedings of the National Academy of Sciences, Language Resources and Evaluation and Transactions of the Association for Computational Linguistics.

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.

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