Daniel Ramage
As of December 2011, I am a research scientist at Google in Mountain View. My PhD was advised by Christopher D. Manning in the Stanford Natural Language Processing Group, part of the Stanford Artificial Intelligence Lab.
Much of my dissertation work was with the interdisciplinary Mimir Project, focusing on building models and tools that can help us understand the world through the lens of the text people write about it. I develop techniques to analyze academic publications, cluster tagged web pages, and mine Twitter posts, among other applications.
My undergraduate degrees from MIT are in Computer Science and Math. Prior to Stanford, I spent some time at IBM's Zurich Research Lab working on data mining. In Fall 2009, I worked at Microsoft Research in Redmond with Susan Dumais. In summers past, I taught software engineering and project management to Palestinian and Israeli teenagers in Jerusalem through MEET.
2007-08
Software
Stanford Topic Modeling Toolbox
A suite of topic modeling tools for social scientists and others who wish to perform analysis on datasets that have a substantial textual component.
Scalala
Scalala is a high performance numerical linear algebra library for Scala, with rich Matlab-like operators on vectors and matrices; a library of numerical routines; support for plotting.
ScalaNLP
ScalaNLP is a collection of libraries for data manipulation, natural language processing, machine learning, and statistics.
ResearchAssistant
ResearchAssistant is a library for improving Java's effectiveness as a platform for creating scientific research tools. It is described in "RA: Research Assistant for the Computational Sciences" published in ExpCS, June 2007.
Thesis
- Studying people, organizations, and the web with statistical text models. Daniel Ramage. Stanford University PhD Thesis, 2011. [ pdf ]
Publications
- Differentiating language usage through topic models. Poetics 2013. [ online ] [ bib ]
- Interpretation and Trust: Designing Model-Driven Visualizations for Text Analysis. Jason Chuang, Daniel Ramage, Christopher D. Manning, Jeffrey Heer. CHI 2012. [ pdf ] [ bib ] [ interactive ]
- Partially Labeled Topic Models for Interpretable Text Mining. Daniel Ramage, Christopher D. Manning, Susan Dumais. KDD 2011. [ pdf ] [ bib ]
- A Study of Academic Collaborations in Computational Linguistics using a Latent Mixture of Authors Model. Nikhil Johri, Daniel Ramage, Daniel A. McFarland, Dan Jurafsky. ACL 2011 Language Technology for Cultural Heritage, Social Sciences, and Humanities Workshop. [ pdf ] [ bib ]
- #TwitterSearch: A Comparison of Microblog Search and Web Search. Jaime Teevan, Daniel Ramage, and Merrie Morris. WSDM 2011. [ pdf ]
- Which universities lead and lag? Toward university rankings based on scholarly output. Daniel Ramage, Christopher D. Manning, and Daniel A. McFarland. NIPS 2010 Workshop on Computational Social Science and the Wisdom of the Crowds. [ pdf ]
- Characterizing Microblogs with Topic Models. Daniel Ramage, Susan Dumais, and Dan Liebling. ICWSM 2010. [ pdf ] [ bib ] [ demo presented at KDD 2010 ] [ video ]
- Topic Modeling for the Social Sciences. Daniel Ramage, Evan Rosen, Jason Chuang, Christopher D. Manning and Daniel A. McFarland. NIPS 2009 Workshop on Applications for Topic Models. [ pdf ] [ bib ] [ software ]
- Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. Daniel Ramage, David Hall, Ramesh Nallapati and Christopher D. Manning. EMNLP 2009. [ pdf ] [ bib ] [ software ]
- WikiWalk: Random walks on Wikipedia for Semantic Relatedness. Eric Yeh, Daniel Ramage, Christopher D. Manning, Eneko Agirre, Aitor Soroa. ACL-IJCNLP TextGraphs-4 Workshop 2009. [ pdf ] [ bib ]
- Random Walks for Text Semantic Similarity. Daniel Ramage, Anna N. Rafferty, and Christopher D. Manning. ACL-IJCNLP TextGraphs-4 Workshop 2009. [ pdf ] [ bib ]
- Clustering the Tagged Web. Daniel Ramage, Paul Heymann, Christopher D. Manning, and Hector Garcia-Molina. WSDM 2009. [ pdf ] [ blog post ] [ video ]
- Social Tag Prediction. Paul Heymann, Daniel Ramage and Hector Garcia-Molina. 31st Annual International ACM SIGIR Conference, July 2008. [ pdf ]
- Lexical Semantic Relatedness with Random Graph Walks. Thad Hughes and Daniel Ramage. Conference on Empirical Methods in Natural Language Processing (EMNLP), Prague, June 2007. [ pdf ] [ software ]
- Learning Alignments and Leveraging Natural Logic. Nathanael Chambers, Daniel Cer, Trond Grenager, David Hall, Chloe Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh and Christopher D. Manning. ACL Workshop on Textual Entailment and Paraphrase, Prague, June 2007. [ pdf ]
- RA: ResearchAssistant for the Computational Sciences. Daniel Ramage and Adam J. Oliner. Workshop on Experimental Computer Science (ExpCS), June 2007. [ pdf ] [ software ] [ acm ]
- Aligning semantic graphs for textual inference and machine reading. Marie-Catherine de Marneffe, Trond Grenager, Bill MacCartney, Daniel Cer, Daniel Ramage, Chloé Kiddon, Christopher D. Manning. AAAI Spring Symposium at Stanford, 2007. [ pdf ]
- Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Paul Shannon, Andrew Markiel, Owen Ozier, Nitin S. Baliga, Jonathan T. Wang, Daniel Ramage, Nada Amin, Benno Schwikowski and Trey Ideker. Genome Research, 13:2498-2504, 2003.
- Developing Legible Visualizations for Online Social Spaces. danah boyd, Hyun-Yeul Lee, Daniel Ramage, Judith Donath. IEEE Proceedings of the Hawaii International Conference on System Sciences (HICSS), Jan 2002.