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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