Marti A. Hearst

Research

Check out our NLP Research Seminar

Current Projects:

• ScholarPhi: Revolutionizing the Readability of Scholarly Scientific Papers
• Information Visualization: Language and Visualization, Improving Instruction of Visualization

Past Projects:

• NLP research into various topics; recent work includes unsupervised generation and consistency checking and diversity in dialog generation.
• Learning and Technology: Innovating in Education at Scale and with User Interfaces
• Digital Humanities: Natural language processing and user interface design to support research efforts in the digital humanities, including digital poetry.
• BioText: Bioscience Literature Analysis and Search, Citation Analysis
• FLAMENCO: Applying Faceted Metadata to Search Interfaces
• WordSeer: Text Analysis Environment for Humanities Scholars
• Search User Interfaces: A summary of research on this topic
• Social Media: Blogs, Tags, and Online Personals
• Semantic Relations: Using Web Counts, Lexico-Syntactic Patterns, and Lexical Hierarchies to Detect Relationships in Language
• Text Segmentation: Abbreviation Definition Recognition, Sentence Boundary Disambiguation, Discourse Segmentation
• Pvote: Improving the Usability of Electronic Voting Machines
• Text Mining: Setting an Agenda for Research
• WebTANGO: Automating Web Site Usability Assessment
• TextTiling: Multi-paragraph Discourse Segmentation
• TileBars: Visualization of Context and Structure in Search Results
• Cha-Cha Search: Exposing Intranet Structure in Web Search Results
• Scatter/Gather: Clustering Interface for Search Results

PhD Students:

• Chase Stokes
• Katie Stasaski (PhD 2022)
• Nate Weinman (PhD 2022)
• Philippe Laban (PhD 2021)
• Andrew Head (PhD 2020)
• Sara Alspaugh (PhD 2017)
• Kyle Booten (PhD 2017)
• Aditi Shrikumar (PhD 2013)
• Christine Robson (PhD 2012)
• Preslav Nakov (PhD 2007)
• Ping Yee (PhD 2007)
• Ariel Schwartz (PhD 2007)
• Barbara Rosario (PhD 2005)
• Cecilia Aragon (PhD 2004)
• Gaurav Bhalotia (Masters 2003)
• Melody Ivory (PhD 2002)
• Ame Elliott (PhD 2002)
• Mike Chen (Masters 2002)
• Wanda Pratt (PhD 1999) (Unofficial advisor)

Postdoctoral Researchers:

• Andrew Head
• Dongyeop Kang
• Rashmi Sinha
• Emilia Stoica
• Anna Divoli

Advice

By Machine Learning Researchers:

• An Opinionated Guide to ML Research by John Schulman
• A Survival Guide to a Phd by Andrej Karpathy

By Matt Might:

• The illustrated guide to a PhD
• 10 easy ways to fail a PhD

By Marie desJardins, first published in 1995 and then reprinted:

• How to succeed in graduate school, part I
• How to succeed in graduate school, part II

My tribute to my masters advisor, Mike Stonebraker (the title should be "Neat", not "Nice"): Nice: or what it was like to be Mike's student.   by Marti Hearst, in   Making Databases Work: the Pragmatic Wisdom of Michael Stonebraker. Association for Computing Machinery and Morgan & Claypool, 393–396.