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proseminar-en-information-retrieval

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Proseminar meant as “Practice Lab”
DIY: Literature Research, Oral Presentation, Scientific Writing
Abstract task:
q
Choose a topic on “query understanding” (options on next slide)
q
Literature research to find 1–3 influential / important papers
q
Give a short talk motivating your topic and paper choice (5 minutes)
q
Present the ideas of the selected papers in a longer talk (25–30 minutes)
q
Write a report similar to a scientific publication
(not more than 10 pages, LATEX style will be provided)
Scientific Toolbox:I-1
Proseminar Introduction
© Hagen 2018
Proseminar meant as “Practice Lab”
Possible Topics (but focus on queries!)
Starting point: my input / Daniel Tunkelang’s blog
q
Query types
(not in the blog, ask me what is meant!)
q
q
q
q
q
q
q
Spelling correction
Query segmentation
Entity recognition / linking
Query autocompletion
Query expansion
Query relaxation
Query suggestion
[https://queryunderstanding.com/]
Clarification
q Click models
q
(not in the blog, ask me what is meant!)
q
Relevance feedback
Personalization
Faceted search
Search result snippets
Search result clustering
Question answering
q
Maybe you have further ideas?!
q
q
q
q
q
(not in the blog, ask me what is meant!)
q
Task-based search, sessions, missions
(not in the blog, ask me what is meant!)
Scientific Toolbox:I-2
Proseminar Introduction
© Hagen 2018
Proseminar meant as “Practice Lab”
First Steps and Priorities
1. Choose a topic
(today . . . as in “now”!)
2. Read Tunkelang’s post or get input from me to start from
(next 2–3 weeks)
3. Find interesting papers
(next 2–3 weeks)
4. Prepare a short talk on the topic
(next 2–3 weeks)
5. Short talks
6. Start preparing long talk
7. Start writing the report
8. Submit report
Scientific Toolbox:I-4
Tutorial
(in 4–5 weeks)
(exact schedule in 2–3 weeks)
(Deadline for “Introduction”: before Christmas)
(Deadline: end of semester but earlier is better!)
© Hagen 2020
Proseminar meant as “Practice Lab”
Assignments
q
Query types
q
N.N.
N.N.
q
Spelling correction
q
Query segmentation
q
Entity recognition / linking
q
Query autocompletion
q
Query expansion
q
Query relaxation
q
Query suggestion
q
Question answering
N.N.
N.N.
q
Search result clustering
N.N.
N.N.
q
Search result snippets
N.N.
N.N.
q
Faceted search
N.N.
N.N.
q
Personalization
N.N.
N.N.
q
Relevance feedback
N.N.
N.N.
q
Click models
N.N.
N.N.
q
Clarification
Task-based search, sessions, missions
N.N.
Scientific Toolbox:I-5
q
Tutorial
Maybe you have further ideas?!
© Hagen 2020
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