KR 2019 homework: overall task - Redigeerimiste ajalugu

Tammet: /* Two kinds of input we care about */

2019-02-06T09:01:31Z

Two kinds of input we care about

←Vanem redaktsioon		Redaktsioon: 6. veebruar 2019, kell 11:01
29. rida:		29. rida:
	== Two kinds of input we care about ==		== Two kinds of input we care about ==

	The <b>first scenario</b> (closed world) ~~your~~ system should manage is that it is given		The <b>first scenario</b> (closed world) is obligatory. Your system should manage is that it is given
	* Input text like "John is a father of Mike. Mike is a father of Pete."		* Input text like "John is a father of Mike. Mike is a father of Pete."
	* Input ruleset: we will use both		* Input ruleset: we will use both
36. rida:		36. rida:
	* A question to answer like the initial example: "Is John male?" as "yes", "Who is a grandfather of Pete?" as "John" and "Is Mike female?" as "no".		* A question to answer like the initial example: "Is John male?" as "yes", "Who is a grandfather of Pete?" as "John" and "Is Mike female?" as "no".

	The <b>second scenario</b> (open world) ~~your~~ system should manage is that it is <b>not</b> given an input text. Instead, it relies on a large dataset you download from the web (like wikidata) plus the rulesets and answers questions like "Is Donald Trump female" as "no", "Where does Donald Trump live" as either "U.S", "Washington", "Trump tower" or similar, "Is Melania Knauss a mother of Donald John Trump Jr" as "no" etc.		The <b>second scenario</b> (open world) is part of the third, optional lab. Your system should manage is that it is <b>not</b> given an input text. Instead, it relies on a large dataset you download from the web (like wikidata) plus the rulesets and answers questions like "Is Donald Trump female" as "no", "Where does Donald Trump live" as either "U.S", "Washington", "Trump tower" or similar, "Is Melania Knauss a mother of Donald John Trump Jr" as "no" etc.

	Obviously, you cannot answer really complicated questions based on wikidata, Yago, Conceptnet etc alone. Try to do a sensibly good job and present examples you can answer and examples you cannot answer.		Obviously, you cannot answer really complicated questions based on wikidata, Yago, Conceptnet etc alone. Try to do a sensibly good job and present examples you can answer and examples you cannot answer.

Tammet: /* Two kinds of input we care about */

2019-02-06T08:33:13Z

Two kinds of input we care about

←Vanem redaktsioon		Redaktsioon: 6. veebruar 2019, kell 10:33
29. rida:		29. rida:
	== Two kinds of input we care about ==		== Two kinds of input we care about ==

	The first scenario your system should manage is that it is given		The <b>first scenario</b> (closed world) your system should manage is that it is given
	* Input text like "John is a father of Mike. Mike is a father of Pete."		* Input text like "John is a father of Mike. Mike is a father of Pete."
	* Input ruleset: we will use both		* Input ruleset: we will use both
36. rida:		36. rida:
	* A question to answer like the initial example: "Is John male?" as "yes", "Who is a grandfather of Pete?" as "John" and "Is Mike female?" as "no".		* A question to answer like the initial example: "Is John male?" as "yes", "Who is a grandfather of Pete?" as "John" and "Is Mike female?" as "no".

	The second scenario your system should manage is that it is <b>not</b> given an input text. Instead, it relies on a large dataset you download from the web (like wikidata) plus the rulesets and answers questions like "Is Donald Trump female" as "no", "Where does Donald Trump live" as either "U.S", "Washington", "Trump tower" or similar, "Is Melania Knauss a mother of Donald John Trump Jr" as "no" etc.		The <b>second scenario</b> (open world) your system should manage is that it is <b>not</b> given an input text. Instead, it relies on a large dataset you download from the web (like wikidata) plus the rulesets and answers questions like "Is Donald Trump female" as "no", "Where does Donald Trump live" as either "U.S", "Washington", "Trump tower" or similar, "Is Melania Knauss a mother of Donald John Trump Jr" as "no" etc.

	Obviously, you cannot answer really complicated questions based on wikidata, Yago, Conceptnet etc alone. Try to do a sensibly good job and present examples you can answer and examples you cannot answer.		Obviously, you cannot answer really complicated questions based on wikidata, Yago, Conceptnet etc alone. Try to do a sensibly good job and present examples you can answer and examples you cannot answer.

Tammet – 6. veebruar 2019, kell 08:32

2019-02-06T08:32:27Z

←Vanem redaktsioon		Redaktsioon: 6. veebruar 2019, kell 10:32
26. rida:		26. rida:

	The relations we should certainly care about (but not limited to) are <tt>father, mother, parent, child, grandfather, grandmother, grandparent, ancestor, bother, sister, husband, wife, friend, works for, employee of, owner of, lives in, born in year</tt>		The relations we should certainly care about (but not limited to) are <tt>father, mother, parent, child, grandfather, grandmother, grandparent, ancestor, bother, sister, husband, wife, friend, works for, employee of, owner of, lives in, born in year</tt>

			== Two kinds of input we care about ==

			The first scenario your system should manage is that it is given
			* Input text like "John is a father of Mike. Mike is a father of Pete."
			* Input ruleset: we will use both
			** Some rules you write yourself
			** Some large ruleset(s) you download from the web and convert to the form usable by your system (a la wikidata, Yago, Conceptnet, wordnet)
			* A question to answer like the initial example: "Is John male?" as "yes", "Who is a grandfather of Pete?" as "John" and "Is Mike female?" as "no".

			The second scenario your system should manage is that it is <b>not</b> given an input text. Instead, it relies on a large dataset you download from the web (like wikidata) plus the rulesets and answers questions like "Is Donald Trump female" as "no", "Where does Donald Trump live" as either "U.S", "Washington", "Trump tower" or similar, "Is Melania Knauss a mother of Donald John Trump Jr" as "no" etc.

			Obviously, you cannot answer really complicated questions based on wikidata, Yago, Conceptnet etc alone. Try to do a sensibly good job and present examples you can answer and examples you cannot answer.

Tammet: /* Our domain: what kinds of knowledge we care about */

2019-02-06T08:19:11Z

Our domain: what kinds of knowledge we care about

←Vanem redaktsioon		Redaktsioon: 6. veebruar 2019, kell 10:19
15. rida:		15. rida:
	You do not have to manage to answer really complex questions about people, but the more you manage, the better.		You do not have to manage to answer really complex questions about people, but the more you manage, the better.

	~~Think of the~~ properties ~~as either~~		The properties we should certainly care about (but not limited to) are
	* strict: male, female, alive, dead, has children, has a ~~Ph.D~~, ~~born in 2010, etc~~.		* strict: male, female, alive, dead, has children, has a university degree, is an entrepeneur.
	* or fuzzy: boy, girl, rich, poor, famous, etc.		* or fuzzy: boy, girl, rich, poor, famous, etc.

25. rida:		25. rida:
	* certainly not		* certainly not

	==		The relations we should certainly care about (but not limited to) are <tt>father, mother, parent, child, grandfather, grandmother, grandparent, ancestor, bother, sister, husband, wife, friend, works for, employee of, owner of, lives in, born in year</tt>

Tammet – 6. veebruar 2019, kell 08:13

2019-02-06T08:13:58Z

←Vanem redaktsioon		Redaktsioon: 6. veebruar 2019, kell 10:13
1. rida:		1. rida:

	The overall project built during the three homeworks is a small and simple system for understanding natural language (English): more concretely, a [https://en.wikipedia.org/wiki/Question_answering question answering system].		The overall project built during the three homeworks is a small and simple system for understanding natural language (English): more concretely, a [https://en.wikipedia.org/wiki/Question_answering question answering system].

			For example, given a text "John is a father of Mike. Mike is a father of Pete." your system should answer questions like "Is John male?" as "yes", "Who is a grandfather of Pete?" as "John" and "Is Mike female?" as "no".

			== Our domain: what kinds of knowledge we care about ==

	We will focus on a limited domain of human knowledge and limited textual input and questions: basic properties of and relations between people.		We will focus on a limited domain of human knowledge and limited textual input and questions: basic properties of and relations between people.
20. rida:		24. rida:
	* unlikely		* unlikely
	* certainly not		* certainly not

			==

Tammet: Uus lehekülg: ' The overall project built during the three homeworks is a small and simple system for understanding natural language (English): more concretely, a [https://en.wikipedia.org/wiki...'

2019-02-06T08:10:29Z

Uus lehekülg: ' The overall project built during the three homeworks is a small and simple system for understanding natural language (English): more concretely, a [https://en.wikipedia.org/wiki...'

Uus lehekülg

The overall project built during the three homeworks is a small and simple system for understanding natural language (English): more concretely, a [https://en.wikipedia.org/wiki/Question_answering question answering system].

We will focus on a limited domain of human knowledge and limited textual input and questions: basic properties of and relations between people.

Properties can be thought of as predicates like <tt>male(john), female(mary), alive(mary), has_children(mary)</tt> which can be also negated, like <tt>-female(john)</tt>.

Relations can be thought of as predicates like <tt>father(john,mike), mother(mary,mike), husband(john,margaret)</tt> which can
also be negated, like <tt>-father(john,margaret)</tt>.

You do not have to manage to answer really complex questions about people, but the more you manage, the better.

Think of the properties as either
* strict: male, female, alive, dead, has children, has a Ph.D, born in 2010, etc.
* or fuzzy: boy, girl, rich, poor, famous, etc.

Think also, that we are not always sure of the answer. It is enough to broadly classify our confidence (if we have any grounds for the answer at all) as:
* certainly yes
* likely
* unlikely
* certainly not