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that cuts down on teh wait time , cus u can do other stuff while u r [TARGET] waiting [/TARGET] .
v.cognition
{"id": "reviews-018548-0006:17", "lemma": "wait", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [17]}
that [TARGET] cuts [/TARGET] [TARGET] down [/TARGET] [TARGET] on [/TARGET] teh wait time , cus u can do other stuff while u r waiting .
v.change
{"id": "reviews-018548-0006:1,2,3", "lemma": "cut down on", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [1, 2, 3]}
it usually [TARGET] takes [/TARGET] 20 mins for a mezza luna , as they have to add pure delicious extract to the mix .
v.stative
{"id": "reviews-018548-0007:2", "lemma": "take", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [2]}
it usually takes 20 [TARGET] mins [/TARGET] for a mezza luna , as they have to add pure delicious extract to the mix .
n.TIME
{"id": "reviews-018548-0007:4", "lemma": "minute", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [4]}
it usually takes 20 mins for a mezza luna , as they have to [TARGET] add [/TARGET] pure delicious extract to the mix .
v.change
{"id": "reviews-018548-0007:14", "lemma": "add", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [14]}
it usually takes 20 mins for a mezza luna , as they have to add pure delicious [TARGET] extract [/TARGET] to the mix .
n.FOOD
{"id": "reviews-018548-0007:17", "lemma": "extract", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [17]}
it usually takes 20 mins for a mezza luna , as they have to add pure delicious extract to the [TARGET] mix [/TARGET] .
n.FOOD
{"id": "reviews-018548-0007:20", "lemma": "mix", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [20]}
it usually takes 20 mins for a [TARGET] mezza [/TARGET] [TARGET] luna [/TARGET] , as they have to add pure delicious extract to the mix .
n.FOOD
{"id": "reviews-018548-0007:7,8", "lemma": "mezza luna", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [7, 8]}
their [TARGET] pizza [/TARGET] was a little salty for me , but it s still good .
n.FOOD
{"id": "reviews-018548-0008:1", "lemma": "pizza", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [1]}
their pizza [TARGET] was [/TARGET] a little salty for me , but it s still good .
v.stative
{"id": "reviews-018548-0008:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [2]}
their pizza was a little salty for me , but it [TARGET] s [/TARGET] still good .
v.stative
{"id": "reviews-018548-0008:11", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [11]}
they [TARGET] do [/TARGET] that whole thing where you sandwich the pepperoni between layers of cheese for + 32 delicious .
v.stative
{"id": "reviews-018548-0009:1", "lemma": "do", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [1]}
they do that whole [TARGET] thing [/TARGET] where you sandwich the pepperoni between layers of cheese for + 32 delicious .
n.OTHER
{"id": "reviews-018548-0009:4", "lemma": "thing", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [4]}
they do that whole thing where you [TARGET] sandwich [/TARGET] the pepperoni between layers of cheese for + 32 delicious .
v.contact
{"id": "reviews-018548-0009:7", "lemma": "sandwich", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [7]}
they do that whole thing where you sandwich the [TARGET] pepperoni [/TARGET] between layers of cheese for + 32 delicious .
n.FOOD
{"id": "reviews-018548-0009:9", "lemma": "pepperoni", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [9]}
they do that whole thing where you sandwich the pepperoni between [TARGET] layers [/TARGET] of cheese for + 32 delicious .
n.COGNITION
{"id": "reviews-018548-0009:11", "lemma": "layer", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [11]}
they do that whole thing where you sandwich the pepperoni between layers of [TARGET] cheese [/TARGET] for + 32 delicious .
n.FOOD
{"id": "reviews-018548-0009:13", "lemma": "cheese", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [13]}
anyways , the mezza luna : you should [TARGET] try [/TARGET] it .
v.consumption
{"id": "reviews-018548-0010:8", "lemma": "try", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [8]}
anyways , the [TARGET] mezza [/TARGET] [TARGET] luna [/TARGET] : you should try it .
n.FOOD
{"id": "reviews-018548-0010:3,4", "lemma": "mezza luna", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [3, 4]}
it [TARGET] runs [/TARGET] you about 4 bucks and it deals crushing blows to hunger .
v.possession
{"id": "reviews-018548-0011:1", "lemma": "run", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [1]}
it runs you about 4 [TARGET] bucks [/TARGET] and it deals crushing blows to hunger .
n.POSSESSION
{"id": "reviews-018548-0011:5", "lemma": "buck", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [5]}
it runs you about 4 bucks and it [TARGET] deals [/TARGET] crushing blows to hunger .
v.stative
{"id": "reviews-018548-0011:8", "lemma": "deal", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [8]}
it runs you about 4 bucks and it deals [TARGET] crushing [/TARGET] blows to hunger .
v.contact
{"id": "reviews-018548-0011:9", "lemma": "crush", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [9]}
it runs you about 4 bucks and it deals crushing [TARGET] blows [/TARGET] to hunger .
n.ACT
{"id": "reviews-018548-0011:10", "lemma": "blow", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [10]}
it runs you about 4 bucks and it deals crushing blows to [TARGET] hunger [/TARGET] .
n.FEELING
{"id": "reviews-018548-0011:12", "lemma": "hunger", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [12]}
** Edit : [TARGET] Living [/TARGET] on campus at Clarkson University , I have had food delivered before .
v.social
{"id": "reviews-018548-0012:3", "lemma": "live", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [3]}
** Edit : Living on [TARGET] campus [/TARGET] at Clarkson University , I have had food delivered before .
n.LOCATION
{"id": "reviews-018548-0012:5", "lemma": "campus", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [5]}
** Edit : Living on campus at Clarkson University , I have [TARGET] had [/TARGET] food delivered before .
v.stative
{"id": "reviews-018548-0012:12", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [12]}
** Edit : Living on campus at Clarkson University , I have had [TARGET] food [/TARGET] delivered before .
n.FOOD
{"id": "reviews-018548-0012:13", "lemma": "food", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [13]}
** Edit : Living on campus at Clarkson University , I have had food [TARGET] delivered [/TARGET] before .
v.motion
{"id": "reviews-018548-0012:14", "lemma": "deliver", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [14]}
** Edit : Living on campus at [TARGET] Clarkson [/TARGET] [TARGET] University [/TARGET] , I have had food delivered before .
n.LOCATION
{"id": "reviews-018548-0012:7,8", "lemma": "Clarkson University", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [7, 8]}
This [TARGET] was [/TARGET] back between '05 and '09 and I do n't remember how many times we 've had it delivered .
v.stative
{"id": "reviews-018548-0013:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [1]}
This was back between '05 and '09 and I do n't [TARGET] remember [/TARGET] how many times we 've had it delivered .
v.cognition
{"id": "reviews-018548-0013:11", "lemma": "remember", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [11]}
This was back between '05 and '09 and I do n't remember how many [TARGET] times [/TARGET] we 've had it delivered .
n.EVENT
{"id": "reviews-018548-0013:14", "lemma": "time", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [14]}
This was back between '05 and '09 and I do n't remember how many times we 've [TARGET] had [/TARGET] it delivered .
v.stative
{"id": "reviews-018548-0013:17", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [17]}
This was back between '05 and '09 and I do n't remember how many times we 've had it [TARGET] delivered [/TARGET] .
v.motion
{"id": "reviews-018548-0013:19", "lemma": "deliver", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [19]}
Perhaps they do n't [TARGET] deliver [/TARGET] anymore , but the deliciousness of a mezza luna certainly warrants a pickup .
v.motion
{"id": "reviews-018548-0014:4", "lemma": "deliver", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [4]}
Perhaps they do n't deliver anymore , but the [TARGET] deliciousness [/TARGET] of a mezza luna certainly warrants a pickup .
n.ATTRIBUTE
{"id": "reviews-018548-0014:9", "lemma": "deliciousness", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [9]}
Perhaps they do n't deliver anymore , but the deliciousness of a mezza luna certainly [TARGET] warrants [/TARGET] a pickup .
v.cognition
{"id": "reviews-018548-0014:15", "lemma": "warrant", "part_of_speech": "v", "split_group_id": "reviews-018548", "token_indices": [15]}
Perhaps they do n't deliver anymore , but the deliciousness of a mezza luna certainly warrants a [TARGET] pickup [/TARGET] .
n.ACT
{"id": "reviews-018548-0014:17", "lemma": "pickup", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [17]}
Perhaps they do n't deliver anymore , but the deliciousness of a [TARGET] mezza [/TARGET] [TARGET] luna [/TARGET] certainly warrants a pickup .
n.FOOD
{"id": "reviews-018548-0014:12,13", "lemma": "mezza luna", "part_of_speech": "n", "split_group_id": "reviews-018548", "token_indices": [12, 13]}
Great [TARGET] Job [/TARGET]
n.ACT
{"id": "reviews-018562-0001:1", "lemma": "job", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [1]}
I [TARGET] want [/TARGET] to say that Mike did a great job for our family in our time of need .
v.cognition
{"id": "reviews-018562-0002:1", "lemma": "want", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [1]}
I want to [TARGET] say [/TARGET] that Mike did a great job for our family in our time of need .
v.communication
{"id": "reviews-018562-0002:3", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [3]}
I want to say that [TARGET] Mike [/TARGET] did a great job for our family in our time of need .
n.PERSON
{"id": "reviews-018562-0002:5", "lemma": "Mike", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [5]}
I want to say that Mike [TARGET] did [/TARGET] a great job for our family in our time of need .
v.change
{"id": "reviews-018562-0002:6", "lemma": "do", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [6]}
I want to say that Mike did a great [TARGET] job [/TARGET] for our family in our time of need .
n.ACT
{"id": "reviews-018562-0002:9", "lemma": "job", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [9]}
I want to say that Mike did a great job for our [TARGET] family [/TARGET] in our time of need .
n.GROUP
{"id": "reviews-018562-0002:12", "lemma": "family", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [12]}
Both my [TARGET] grandparents [/TARGET] passed away 4 months apart and Mike was very understanding .
n.PERSON
{"id": "reviews-018562-0003:2", "lemma": "grandparent", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [2]}
Both my grandparents passed away 4 [TARGET] months [/TARGET] apart and Mike was very understanding .
n.TIME
{"id": "reviews-018562-0003:6", "lemma": "month", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [6]}
Both my grandparents passed away 4 months apart and [TARGET] Mike [/TARGET] was very understanding .
n.PERSON
{"id": "reviews-018562-0003:9", "lemma": "Mike", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [9]}
Both my grandparents passed away 4 months apart and Mike [TARGET] was [/TARGET] very understanding .
v.stative
{"id": "reviews-018562-0003:10", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [10]}
Both my grandparents [TARGET] passed [/TARGET] [TARGET] away [/TARGET] 4 months apart and Mike was very understanding .
v.body
{"id": "reviews-018562-0003:3,4", "lemma": "pass away", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [3, 4]}
It [TARGET] was [/TARGET] a very trying time for my family and myself yet Mike took the time to greet each and every one one of us .
v.stative
{"id": "reviews-018562-0004:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [1]}
It was a very trying [TARGET] time [/TARGET] for my family and myself yet Mike took the time to greet each and every one one of us .
n.EVENT
{"id": "reviews-018562-0004:5", "lemma": "time", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [5]}
It was a very trying time for my [TARGET] family [/TARGET] and myself yet Mike took the time to greet each and every one one of us .
n.GROUP
{"id": "reviews-018562-0004:8", "lemma": "family", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [8]}
It was a very trying time for my family and myself yet [TARGET] Mike [/TARGET] took the time to greet each and every one one of us .
n.PERSON
{"id": "reviews-018562-0004:12", "lemma": "Mike", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [12]}
It was a very trying time for my family and myself yet Mike took the time to [TARGET] greet [/TARGET] each and every one one of us .
v.communication
{"id": "reviews-018562-0004:17", "lemma": "greet", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [17]}
It was a very trying time for my family and myself yet Mike [TARGET] took [/TARGET] [TARGET] the [/TARGET] [TARGET] time [/TARGET] to greet each and every one one of us .
v.social
{"id": "reviews-018562-0004:13,14,15", "lemma": "take the time", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [13, 14, 15]}
He [TARGET] is [/TARGET] very professional in his position as a director and yet he still made time to be compassionate for what we were all going through .
v.stative
{"id": "reviews-018562-0005:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [1]}
He is very professional in his [TARGET] position [/TARGET] as a director and yet he still made time to be compassionate for what we were all going through .
n.COGNITION
{"id": "reviews-018562-0005:6", "lemma": "position", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [6]}
He is very professional in his position as a [TARGET] director [/TARGET] and yet he still made time to be compassionate for what we were all going through .
n.PERSON
{"id": "reviews-018562-0005:9", "lemma": "director", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [9]}
He is very professional in his position as a director and yet he still made time to [TARGET] be [/TARGET] compassionate for what we were all going through .
v.stative
{"id": "reviews-018562-0005:17", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [17]}
He is very professional in his position as a director and yet he still [TARGET] made [/TARGET] [TARGET] time [/TARGET] to be compassionate for what we were all going through .
v.social
{"id": "reviews-018562-0005:14,15", "lemma": "make time", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [14, 15]}
He is very professional in his position as a director and yet he still made time to be compassionate for what we were all [TARGET] going [/TARGET] [TARGET] through [/TARGET] .
v.stative
{"id": "reviews-018562-0005:24,25", "lemma": "go through", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [24, 25]}
I [TARGET] 'm [/TARGET] sure it s not every day that a funeral director sees the same family in such a short time .
v.stative
{"id": "reviews-018562-0006:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [1]}
I 'm sure it [TARGET] s [/TARGET] not every day that a funeral director sees the same family in such a short time .
v.stative
{"id": "reviews-018562-0006:4", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [4]}
I 'm sure it s not every [TARGET] day [/TARGET] that a funeral director sees the same family in such a short time .
n.EVENT
{"id": "reviews-018562-0006:7", "lemma": "day", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [7]}
I 'm sure it s not every day that a [TARGET] funeral [/TARGET] director sees the same family in such a short time .
n.EVENT
{"id": "reviews-018562-0006:10", "lemma": "funeral", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [10]}
I 'm sure it s not every day that a funeral [TARGET] director [/TARGET] sees the same family in such a short time .
n.PERSON
{"id": "reviews-018562-0006:11", "lemma": "director", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [11]}
I 'm sure it s not every day that a funeral director [TARGET] sees [/TARGET] the same family in such a short time .
v.social
{"id": "reviews-018562-0006:12", "lemma": "see", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [12]}
I 'm sure it s not every day that a funeral director sees the same [TARGET] family [/TARGET] in such a short time .
n.GROUP
{"id": "reviews-018562-0006:15", "lemma": "family", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [15]}
I 'm sure it s not every day that a funeral director sees the same family in such [TARGET] a [/TARGET] [TARGET] short [/TARGET] [TARGET] time [/TARGET] .
n.TIME
{"id": "reviews-018562-0006:18,19,20", "lemma": "a short time", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [18, 19, 20]}
My [TARGET] grandfather [/TARGET] passed away silently in his sleep , and my grandmother passed away after a short struggle with cancer .
n.PERSON
{"id": "reviews-018562-0007:1", "lemma": "grandfather", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [1]}
My grandfather passed away silently in his [TARGET] sleep [/TARGET] , and my grandmother passed away after a short struggle with cancer .
n.ACT
{"id": "reviews-018562-0007:7", "lemma": "sleep", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [7]}
My grandfather passed away silently in his sleep , and my [TARGET] grandmother [/TARGET] passed away after a short struggle with cancer .
n.PERSON
{"id": "reviews-018562-0007:11", "lemma": "grandmother", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [11]}
My grandfather passed away silently in his sleep , and my grandmother passed away after a short [TARGET] struggle [/TARGET] with cancer .
n.ACT
{"id": "reviews-018562-0007:17", "lemma": "struggle", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [17]}
My grandfather passed away silently in his sleep , and my grandmother passed away after a short struggle with [TARGET] cancer [/TARGET] .
n.STATE
{"id": "reviews-018562-0007:19", "lemma": "cancer", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [19]}
My grandfather [TARGET] passed [/TARGET] [TARGET] away [/TARGET] silently in his sleep , and my grandmother passed away after a short struggle with cancer .
v.body
{"id": "reviews-018562-0007:2,3", "lemma": "pass away", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [2, 3]}
My grandfather passed away silently in his sleep , and my grandmother [TARGET] passed [/TARGET] [TARGET] away [/TARGET] after a short struggle with cancer .
v.body
{"id": "reviews-018562-0007:12,13", "lemma": "pass away", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [12, 13]}
Both my [TARGET] grandparents [/TARGET] looked as natural as could be expected .
n.PERSON
{"id": "reviews-018562-0008:2", "lemma": "grandparent", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [2]}
Both my grandparents [TARGET] looked [/TARGET] as natural as could be expected .
v.perception
{"id": "reviews-018562-0008:3", "lemma": "look", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [3]}
Both my grandparents looked as natural as could be [TARGET] expected [/TARGET] .
v.cognition
{"id": "reviews-018562-0008:9", "lemma": "expect", "part_of_speech": "v", "split_group_id": "reviews-018562", "token_indices": [9]}
Thank you [TARGET] Mike [/TARGET] for all your help professionally and personally .
n.PERSON
{"id": "reviews-018562-0009:2", "lemma": "Mike", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [2]}
Thank you Mike for all your [TARGET] help [/TARGET] professionally and personally .
n.ACT
{"id": "reviews-018562-0009:6", "lemma": "help", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [6]}
The [TARGET] Peterson [/TARGET] Family
n.PERSON
{"id": "reviews-018562-0010:1", "lemma": "Peterson", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [1]}
The Peterson [TARGET] Family [/TARGET]
n.GROUP
{"id": "reviews-018562-0010:2", "lemma": "family", "part_of_speech": "n", "split_group_id": "reviews-018562", "token_indices": [2]}
The Best [TARGET] Deals [/TARGET] in Town
n.POSSESSION
{"id": "reviews-020851-0001:2", "lemma": "deal", "part_of_speech": "n", "split_group_id": "reviews-020851", "token_indices": [2]}
Before you [TARGET] buy [/TARGET] ANYTHING in NY , make sure you stop by Jack -s first .
v.possession
{"id": "reviews-020851-0002:2", "lemma": "buy", "part_of_speech": "v", "split_group_id": "reviews-020851", "token_indices": [2]}
Before you buy ANYTHING in [TARGET] NY [/TARGET] , make sure you stop by Jack -s first .
n.LOCATION
{"id": "reviews-020851-0002:5", "lemma": "NY", "part_of_speech": "n", "split_group_id": "reviews-020851", "token_indices": [5]}
Before you buy ANYTHING in NY , [TARGET] make [/TARGET] [TARGET] sure [/TARGET] you stop by Jack -s first .
v.cognition
{"id": "reviews-020851-0002:7,8", "lemma": "make sure", "part_of_speech": "v", "split_group_id": "reviews-020851", "token_indices": [7, 8]}
Before you buy ANYTHING in NY , make sure you [TARGET] stop [/TARGET] [TARGET] by [/TARGET] Jack -s first .
v.motion
{"id": "reviews-020851-0002:10,11", "lemma": "stop by", "part_of_speech": "v", "split_group_id": "reviews-020851", "token_indices": [10, 11]}
Before you buy ANYTHING in NY , make sure you stop by [TARGET] Jack [/TARGET] [TARGET] -s [/TARGET] first .
n.GROUP
{"id": "reviews-020851-0002:12,13", "lemma": "Jack 's", "part_of_speech": "n", "split_group_id": "reviews-020851", "token_indices": [12, 13]}
Their [TARGET] selection [/TARGET] is random , so what they have on a given week might never be available again at the store .
n.COGNITION
{"id": "reviews-020851-0003:1", "lemma": "selection", "part_of_speech": "n", "split_group_id": "reviews-020851", "token_indices": [1]}
Their selection [TARGET] is [/TARGET] random , so what they have on a given week might never be available again at the store .
v.stative
{"id": "reviews-020851-0003:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-020851", "token_indices": [2]}
Their selection is random , so what they [TARGET] have [/TARGET] on a given week might never be available again at the store .
v.stative
{"id": "reviews-020851-0003:8", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-020851", "token_indices": [8]}
Their selection is random , so what they have on a [TARGET] given [/TARGET] week might never be available again at the store .
v.communication
{"id": "reviews-020851-0003:11", "lemma": "give", "part_of_speech": "v", "split_group_id": "reviews-020851", "token_indices": [11]}
Their selection is random , so what they have on a given [TARGET] week [/TARGET] might never be available again at the store .
n.TIME
{"id": "reviews-020851-0003:12", "lemma": "week", "part_of_speech": "n", "split_group_id": "reviews-020851", "token_indices": [12]}
Their selection is random , so what they have on a given week might never [TARGET] be [/TARGET] available again at the store .
v.stative
{"id": "reviews-020851-0003:15", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-020851", "token_indices": [15]}
Their selection is random , so what they have on a given week might never be available again at the [TARGET] store [/TARGET] .
n.GROUP
{"id": "reviews-020851-0003:20", "lemma": "store", "part_of_speech": "n", "split_group_id": "reviews-020851", "token_indices": [20]}