Knowledge Base Construction
In this class, we will take an overview of Information Extraction for Knowledge Base Construction. This is the process of deriving structured information (such as alive(Elvis)) from digital text (such as the sentence "Elvis is alive"). We will first see applications of information extraction, notably in question answering systems, chatbots, and personal assistants. Then, we will cover the technical steps of knowledge base construction: natural language processing, named entity recognition, entity disambiguation, instance extraction, fact extraction, and knowledge cleaning.
The course is graded by 6 labs and a final exam.
- Final grade: 50% labs + 50% exam
- Final grade at re-take: 50% original labs + 50% reexam
- It is not allowed to use code from other sources (students, Web, libraries, etc.) that was designed to solve the problem of the lab. Example: If the task is POS-tagging, it is not allowed to use a library or a piece of code from the Web for POS-tagging for this lab.
- Discussing assignments together is allowed, but each student must write their own solution.
No sharing of code!
- Plagiarism entails a grade of 0 for the lab/exam.
The course takes place on Thursday afternoon, 13:30-16:30. Due to the Corona pandemic, the course will take place online in Zoom here.
- 2020-11-26: Introduction
- Information Extraction: What is it?
- Information Extraction: Why do we want to do it?
- Information Extraction: Who does it?
- Information Extraction: How does it work?
- Knowledge Representation (until Slide 46, “equality”)
- 2020-12-03: Background refresher
- Feed-forward neural networks
- Word embeddings (only “́word2vec”)
- Transformers (not done, optional material)
- Lab: Classification (deadline: midnight on the 9th of December 2020)
- 2020-12-10: Named Entity Recognition and Classification
- Named Entity Recognition and Classification (100)
- Lab: NERC
- 2020-12-17: Typing and Disambiguation
- Extractive Entity Typing (20 “Hearst Patterns”)
- Entity Disambiguation (50-60)
- Lab: Disambiguation
- 2021-01-07: Fact extraction
- Fact Extraction (50)
- Dependency Parsing (30)
- Lab: Instance Extraction
- 2021-01-14: Fact Extraction by Reasoning
- Information Extraction by Reasoning (70)
- Lab: Max Sat
- 2021-01-21: Rule Mining / Link prediction
- Lab: Link prediction
- 2021-02-04: Exam (13:30-15:00)