Paris, Texas or Paris, France? Entity Linking for Geographic Data Identification
The sponsor, ProQuest, is a content aggregator and research and learning hub for students, librarians, and instructors. New methods for exploring and analyzing large amounts of text data are changing the way our users access and analyze our content. Accurate place name identification would have an impact across many products within the ProQuest portfolio.
This project will focus on identifying place names in more than 80 million pages of ProQuest’s historic newspaper XML. There are several challenges to this task, which make high rates of precision and recall difficult. These challenges include:
- Ambiguity often exists between entities: Is the newspaper referring to Ann Arbor the place or Ann Arbor the person?
- Place name abbreviations and pseudonyms differ based on historical, political, and language-based, naming conventions
- Varying degree of OCR quality and spelling variations in historical content.
A high quality entity-linking engine would enhance a number of ProQuest’s services as well as enable new products.
- Location Browse: Location-based content indexing and search.
- GIS Data Visualizations: For products such as Indian Tribe Claims or Historic Newspapers, provide a more useful way to explore content.
- Topic-Product Development: We want to move beyond query-based, automatic product development. Rich and automated metadata production is critical for topic products.
- The student team will deliver an end-to-end system/engine that labels geographical entities with increased precision and recall. The team will begin their investigation with Stanford’s CoreNLP NER for GIS data extraction.
Students who successfully match to this project team will be required to sign the following two documents in January 2018:How to Apply
- Skill level All levels
- Students 5-7 Students
- Likely Majors CS, DATA, EE, MATH, SI
- Course Substitutions Honors, ECE Cognate, EECS 498, CE MDE, Data Science, EE MDE, MIDAS
- IP & NDA Required? Yes
- Summer Opportunity Interview Guaranteed
General Programming (2 Students)
Solid programming experience-- EECS 281 (or equivalent)
- Likely Majors: CSE/CS-LSA, DA
Front-end Developer (1 Student)
Front End Development. Web-App development in Java
- Likely Majors: CSE/CS-LSA, SI, HCI
Natural Language Processing
Experience / Strong interest in Natural Language Programming
- Likely Majors: CSE/CS-LSA, EE, MATH
Experience / Strong interest in Machine Learning
- Likely Majors: CSE/CS-LSA, EE , MATH
Experience / Strong interest in data visualization especially D3 (Data Driven Documents) and mapping visualizations
- Likely Majors: CSE/CS-LSA, DS, MATH
Sponsor Mentor: John York
Director of Engineering, ProQuest Dialog at ProQuestAn excellent facilitator with ability to communicate effectively with both technical and non-technical people. Passionate about great software that is simple, efficient, maintainable, and easily testable. Builder of team commitment by fostering an environment of trust, respect, responsibility and common sense.