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list: list

The list relation is used for chains of comparable items. Web text often contains passages which are meant to be interpreted as lists but are parsed as single sentences. Email signatures in particular contain these structures, in the form of contact information: the different contact information items are labeled as list; the key-value pair relations are labeled as appos.

In lists with more than two items, all items of the list shoud modify the first one.

Steve Jones Phone: 555-9814 Email: jones@abc.edf
name(Steve-1, Jones-2)
list(Steve-1, Phone:-3)
list(Steve-1, Email:-5)
appos(Phone:-3, 555-9814-4)
appos(Email:-5, jones@abc.edf-6)

In an itemized or numbered list, we have been taking the item marker as a dependent of the head of the contentful list item. This appears to be better than the alternative.


Treebank Statistics (UD_English)

This relation is universal.

797 nodes (0%) are attached to their parents as list.

793 instances of list (99%) are left-to-right (parent precedes child). Average distance between parent and child is 7.07528230865747.

The following 28 pairs of parts of speech are connected with list: en-pos/PROPN-en-pos/NOUN (215; 27% instances), en-pos/PROPN-en-pos/PROPN (181; 23% instances), en-pos/NOUN-en-pos/NOUN (106; 13% instances), en-pos/PROPN-en-pos/NUM (99; 12% instances), en-pos/PROPN-en-pos/X (72; 9% instances), en-pos/NOUN-en-pos/PROPN (15; 2% instances), en-pos/ADJ-en-pos/ADJ (14; 2% instances), en-pos/NOUN-en-pos/SYM (14; 2% instances), en-pos/NOUN-en-pos/NUM (13; 2% instances), en-pos/ADJ-en-pos/NOUN (10; 1% instances), en-pos/VERB-en-pos/VERB (9; 1% instances), en-pos/ADJ-en-pos/VERB (6; 1% instances), en-pos/NOUN-en-pos/ADJ (5; 1% instances), en-pos/NOUN-en-pos/X (5; 1% instances), en-pos/PROPN-en-pos/ADJ (5; 1% instances), en-pos/PROPN-en-pos/SYM (5; 1% instances), en-pos/X-en-pos/X (4; 1% instances), en-pos/VERB-en-pos/ADJ (3; 0% instances), en-pos/X-en-pos/PROPN (3; 0% instances), en-pos/NOUN-en-pos/VERB (2; 0% instances), en-pos/VERB-en-pos/PROPN (2; 0% instances), en-pos/VERB-en-pos/X (2; 0% instances), en-pos/X-en-pos/NUM (2; 0% instances), en-pos/ADJ-en-pos/PUNCT (1; 0% instances), en-pos/ADJ-en-pos/X (1; 0% instances), en-pos/ADV-en-pos/X (1; 0% instances), en-pos/NUM-en-pos/NUM (1; 0% instances), en-pos/VERB-en-pos/NOUN (1; 0% instances).

# visual-style 3	bgColor:blue
# visual-style 3	fgColor:white
# visual-style 2	bgColor:blue
# visual-style 2	fgColor:white
# visual-style 2 3 list	color:blue
1	Vladi	Vladi	PROPN	NNP	Number=Sing	2	name	_	_
2	Pimenov	Pimenov	PROPN	NNP	Number=Sing	0	root	_	_
3	ext.	ext.	NOUN	NN	Number=Sing	2	list	_	_
4	37625	37625	NUM	CD	NumType=Card	3	nummod	_	_

# visual-style 3	bgColor:blue
# visual-style 3	fgColor:white
# visual-style 1	bgColor:blue
# visual-style 1	fgColor:white
# visual-style 1 3 list	color:blue
1	WASHINGTON	WASHINGTON	PROPN	NNP	Number=Sing	0	root	_	_
2	(	(	PUNCT	-LRB-	_	3	punct	_	SpaceAfter=No
3	Reuters	Reuters	PROPN	NNP	Number=Sing	1	list	_	SpaceAfter=No
4	)	)	PUNCT	-RRB-	_	3	punct	_	_
5	-	-	PUNCT	:	_	1	punct	_	_

# visual-style 5	bgColor:blue
# visual-style 5	fgColor:white
# visual-style 2	bgColor:blue
# visual-style 2	fgColor:white
# visual-style 2 5 list	color:blue
1	Analyst	analyst	NOUN	NN	Number=Sing	2	compound	_	_
2	Team	team	NOUN	NN	Number=Sing	0	root	_	_
3	1	1	NUM	CD	NumType=Card	2	nummod	_	SpaceAfter=No
4	:	:	PUNCT	:	_	2	punct	_	_
5	Coach	coach	NOUN	NN	Number=Sing	2	list	_	SpaceAfter=No
6	:	:	PUNCT	:	_	2	punct	_	_
7	Lisa	Lisa	PROPN	NNP	Number=Sing	8	name	_	_
8	Gilette	Gilette	PROPN	NNP	Number=Sing	5	appos	_	_


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