Advanced Topics in Knowledge Bases
Block seminar, 7 ECTS credits, winter semester 2018–19
Basic Information
- Type: Block seminar
- Lecturer: Simon Razniewski
- Credits: 7 ECTS credits
- Registration: Sign up under this link until September 28
- Dates: 3 introductory meetings on October 23, 25 and November 7, two days block seminar in winter 2019 (probably February, to be agreed among the participants).
The seminar is a block seminar and will take place on two consecutive days in winter 2019. There will also be three meetings at the beginning of the semester, for which participation is mandatory.
Topics
A detailed list is below
Representation, collection and extraction of general knowledge in knowledge bases (KBs) is at the core of many AI applications. In this seminar, we cover a range of topics around KBs, in particular factual KBs (e.g., Wikidata, YAGO, DBPedia), common-sense KBs (e.g., science knowledge, howto-knowledge, script knowledge) and non-textual KBs (e.g., ImageNet). We explore how these KBs are constructed and how they are used in various applications such as question answering (QA), story/script prediction and biography generation. We also explore learning new facts over KBs.
Registration
- The number of participants is limited
- To apply for registration, please fill the form under this link. You will receive an email confirmation
- Places will be allocated based on background match (courses taken) and motivation
Schedule
- September 28 -- Registration deadline
- October 3 -- Notification of placement
- October 23 -- Kick-off meeting and introduction to knowledge bases
- Time: 10:00-11:30
- Place: MPII building (E1 4), room 24 (ground floor)
- Explanation of the structure and organization of the seminar
- Introduction to knowledge bases
- October 25 -- Introduction to knowledge bases (ctnd.) and topic presentation
- Time: 10:00-11:30
- Place: MPII building (E1 4), room 24 (ground floor)
- Introduction to knowledge bases (ctnd.)
- Presentation of the topics
- November 7 -- "Survival skills for seminar participants"
- Time: 10:00-11:30
- Place: MPII building (E1 4), room 24 (ground floor)
- This lecture aims at preparing the participants to literature research, seminar paper writing and scientific presentations.
- Topic assignment: students prepare a preferred ranked list of proposed topics, we will do the live assignment based on a randomly decided order.
- November 30 -- students send a suggestion of the outline of their seminar paper, including an itemization of the planned content for each section.
- December 5/6 -- students have in-person feedback meetings
- January 31, 2019 -- students submit their final seminar paper.
- February 26 -- students send preliminary slides
- March 10 -- students send their final slides which they will use in the block seminar
- March 12 -- Block seminar, Day 1
- Location: E1 4, room 021 (ground floor)
- March 13 -- Block seminar, Day 2
- Location: E1 4, room 021 (ground floor)
Seminar Schedule
Location: E1 4, room 021 (ground floor)
Format: 25 minutes presentation, 10 minutes discussion
March 12:
10:00-10:10 Opening remarks
10:10-10:45 1: Dingfan - Spatial common sense (Topic 3)
10:45-11:20 2: Phong - Open IE (Topic 4)
10 minutes break
11:30-12:05 3: Matthias - Taxonomy induction (Topic 6)
12:05-12:40 4: Sandra - Schema learning (Topic 7)
March 13:
10:00-10:35 5: Sara - Recall assessment (Topic 8)
10:35-11:10 6: Aleena - Coreference resolution (Topic 10)
10 minutes break
11:20-11:55 7: Ahmed - State changes (Topic 11)
11:55-12:30 8: Mang - Fact ranking (Topic 12)
12:30-12:40 Closing remarks
Rules and Grading
- Participation in the introductory meetings, the "How to prepare and present a seminar talk" lecture, and both days of the block seminar is mandatory.
- Students will be assigned a particular topic and have to submit a seminar paper (template will be provided) and give a presentation (25 minutes + 10 minutes for discussion) over the topic.
- Grading will be based on:
- the report
- the presentation
- knowledge on the subject (as evidenced in the discussion after the presentation)
- activity in the discussions
- ability to stick to deadlines
- Attention: According to the study regulations, you are only allowed to withdraw from the seminar within three weeks after the kick-off meeting, i.e., until November 6. Later withdrawal counts as "failed".
Topics
Area I: Knowledge base construction
- 1. A WordNet-based image KB: ImageNet
- 2. Lexicographical data in Wikidata: Goals and challenges
- 3. Spatial common sense from text and images
- 4. Open information extraction
- 5. Open knowledge base canonicalization
Area II: Knowledge base quality
- 6. Taxonomy induction
- 7. Schema learning
- 8. Recall assessment
- 9. Change prediction and updating
Area III: Applications and explanations
- 10. Coreference resolution
- Coreference Resolution with World Knowledge, Rahman and Ng, ACL 2011 [pdf]
- Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves, Hajishirzi et al., EMNLP 2013 [pdf]
- Improving Coreference Resolution by Learning Entity-Level Distributed Representations, Clark and Manning, ACL 2016 [pdf]
- 11. State changes
- 12. Fact ranking
- The unusual suspects: Deep learning based mining of interesting entity trivia from knowledge graphs (Fatma et al., AAAI 2017) [pdf]
- 13. Fact explanation
- Tell Me Why Is It So? Explaining Knowledge Graph Relationships by Finding Descriptive Support Passages, Bathia et al., ISWC 2018 [pdf]
Proposals for other topics are welcome too.