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I must say , I was impressed with the [TARGET] size [/TARGET] of the bar area and lounge , & I liked that you could see the brewery right thru the glass !
n.ATTRIBUTE
{"id": "reviews-360937-0002:9", "lemma": "size", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [9]}
I must say , I was impressed with the size of the [TARGET] bar [/TARGET] area and lounge , & I liked that you could see the brewery right thru the glass !
n.ARTIFACT
{"id": "reviews-360937-0002:12", "lemma": "bar", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [12]}
I must say , I was impressed with the size of the bar [TARGET] area [/TARGET] and lounge , & I liked that you could see the brewery right thru the glass !
n.LOCATION
{"id": "reviews-360937-0002:13", "lemma": "area", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [13]}
I must say , I was impressed with the size of the bar area and [TARGET] lounge [/TARGET] , & I liked that you could see the brewery right thru the glass !
n.LOCATION
{"id": "reviews-360937-0002:15", "lemma": "lounge", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [15]}
I must say , I was impressed with the size of the bar area and lounge , & I [TARGET] liked [/TARGET] that you could see the brewery right thru the glass !
v.emotion
{"id": "reviews-360937-0002:19", "lemma": "like", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [19]}
I must say , I was impressed with the size of the bar area and lounge , & I liked that you could [TARGET] see [/TARGET] the brewery right thru the glass !
v.perception
{"id": "reviews-360937-0002:23", "lemma": "see", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [23]}
I must say , I was impressed with the size of the bar area and lounge , & I liked that you could see the [TARGET] brewery [/TARGET] right thru the glass !
n.LOCATION
{"id": "reviews-360937-0002:25", "lemma": "brewery", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [25]}
I must say , I was impressed with the size of the bar area and lounge , & I liked that you could see the brewery right thru the [TARGET] glass [/TARGET] !
n.ARTIFACT
{"id": "reviews-360937-0002:29", "lemma": "glass", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [29]}
I [TARGET] had [/TARGET] a sampler of IPA , Brawler , Love Stout & ESA .
v.consumption
{"id": "reviews-360937-0003:1", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [1]}
I had a [TARGET] sampler [/TARGET] of IPA , Brawler , Love Stout & ESA .
n.FOOD
{"id": "reviews-360937-0003:3", "lemma": "sampler", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [3]}
I had a sampler of [TARGET] IPA [/TARGET] , Brawler , Love Stout & ESA .
n.FOOD
{"id": "reviews-360937-0003:5", "lemma": "ipa", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [5]}
I had a sampler of IPA , [TARGET] Brawler [/TARGET] , Love Stout & ESA .
n.FOOD
{"id": "reviews-360937-0003:7", "lemma": "Brawler", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [7]}
I had a sampler of IPA , Brawler , Love Stout & [TARGET] ESA [/TARGET] .
n.FOOD
{"id": "reviews-360937-0003:12", "lemma": "esa", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [12]}
I had a sampler of IPA , Brawler , [TARGET] Love [/TARGET] [TARGET] Stout [/TARGET] & ESA .
n.FOOD
{"id": "reviews-360937-0003:9,10", "lemma": "Love Stout", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [9, 10]}
All [TARGET] were [/TARGET] awesome , & I had a Dogwood Grilled Cheese which was enjoyable with the fine beers .
v.stative
{"id": "reviews-360937-0004:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [1]}
All were awesome , & I [TARGET] had [/TARGET] a Dogwood Grilled Cheese which was enjoyable with the fine beers .
v.consumption
{"id": "reviews-360937-0004:6", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [6]}
All were awesome , & I had a Dogwood Grilled Cheese which [TARGET] was [/TARGET] enjoyable with the fine beers .
v.stative
{"id": "reviews-360937-0004:12", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [12]}
All were awesome , & I had a Dogwood Grilled Cheese which was enjoyable with the fine [TARGET] beers [/TARGET] .
n.FOOD
{"id": "reviews-360937-0004:17", "lemma": "beer", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [17]}
All were awesome , & I had a [TARGET] Dogwood [/TARGET] [TARGET] Grilled [/TARGET] [TARGET] Cheese [/TARGET] which was enjoyable with the fine beers .
n.FOOD
{"id": "reviews-360937-0004:8,9,10", "lemma": "dogwood grill cheese", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [8, 9, 10]}
After my [TARGET] sampler [/TARGET] & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
n.FOOD
{"id": "reviews-360937-0005:2", "lemma": "sampler", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [2]}
After my sampler & [TARGET] sandwich [/TARGET] , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
n.FOOD
{"id": "reviews-360937-0005:4", "lemma": "sandwich", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [4]}
After my sampler & sandwich , I [TARGET] asked [/TARGET] for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
v.communication
{"id": "reviews-360937-0005:7", "lemma": "ask", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [7]}
After my sampler & sandwich , I asked for a [TARGET] pint [/TARGET] of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
n.QUANTITY
{"id": "reviews-360937-0005:10", "lemma": "pint", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [10]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must [TARGET] say [/TARGET] I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
v.communication
{"id": "reviews-360937-0005:19", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [19]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I [TARGET] was [/TARGET] impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
v.stative
{"id": "reviews-360937-0005:21", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [21]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great [TARGET] taste [/TARGET] & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
n.COGNITION
{"id": "reviews-360937-0005:27", "lemma": "taste", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [27]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I [TARGET] am [/TARGET] a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
v.stative
{"id": "reviews-360937-0005:30", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [30]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a [TARGET] Guiness [/TARGET] Lover so coming from me , I think this is better , it s less dry & smoother !
n.FOOD
{"id": "reviews-360937-0005:32", "lemma": "Guinness", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [32]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness [TARGET] Lover [/TARGET] so coming from me , I think this is better , it s less dry & smoother !
n.PERSON
{"id": "reviews-360937-0005:33", "lemma": "lover", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [33]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so [TARGET] coming [/TARGET] from me , I think this is better , it s less dry & smoother !
v.cognition
{"id": "reviews-360937-0005:35", "lemma": "come", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [35]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I [TARGET] think [/TARGET] this is better , it s less dry & smoother !
v.cognition
{"id": "reviews-360937-0005:40", "lemma": "think", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [40]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this [TARGET] is [/TARGET] better , it s less dry & smoother !
v.stative
{"id": "reviews-360937-0005:42", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [42]}
After my sampler & sandwich , I asked for a pint of there Nitrogen Love Stout , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it [TARGET] s [/TARGET] less dry & smoother !
v.stative
{"id": "reviews-360937-0005:46", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [46]}
After my sampler & sandwich , I asked for a pint of there [TARGET] Nitrogen [/TARGET] [TARGET] Love [/TARGET] [TARGET] Stout [/TARGET] , I must say I was impressed , with the great taste & I am a Guiness Lover so coming from me , I think this is better , it s less dry & smoother !
n.FOOD
{"id": "reviews-360937-0005:13,14,15", "lemma": "Nitrogen Love Stout", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [13, 14, 15]}
If you [TARGET] are [/TARGET] in Philly you have to come check this place out !
v.stative
{"id": "reviews-360937-0006:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [2]}
If you are in [TARGET] Philly [/TARGET] you have to come check this place out !
n.LOCATION
{"id": "reviews-360937-0006:4", "lemma": "Philly", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [4]}
If you are in Philly you have to [TARGET] come [/TARGET] check this place out !
v.motion
{"id": "reviews-360937-0006:8", "lemma": "come", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [8]}
If you are in Philly you have to come check this [TARGET] place [/TARGET] out !
n.GROUP
{"id": "reviews-360937-0006:11", "lemma": "place", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [11]}
If you are in Philly you have to come [TARGET] check [/TARGET] this place [TARGET] out [/TARGET] !
v.social
{"id": "reviews-360937-0006:9,12", "lemma": "check out", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [9, 12]}
The only [TARGET] negative [/TARGET] I have abou this place is the parking !
n.COGNITION
{"id": "reviews-360937-0007:2", "lemma": "negative", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [2]}
The only negative I [TARGET] have [/TARGET] abou this place is the parking !
v.stative
{"id": "reviews-360937-0007:4", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [4]}
The only negative I have abou this [TARGET] place [/TARGET] is the parking !
n.GROUP
{"id": "reviews-360937-0007:7", "lemma": "place", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [7]}
The only negative I have abou this place [TARGET] is [/TARGET] the parking !
v.stative
{"id": "reviews-360937-0007:8", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [8]}
The only negative I have abou this place is the [TARGET] parking [/TARGET] !
n.ACT
{"id": "reviews-360937-0007:10", "lemma": "parking", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [10]}
I [TARGET] left [/TARGET] with a case of BRAWLER !!!! !
v.motion
{"id": "reviews-360937-0008:1", "lemma": "leave", "part_of_speech": "v", "split_group_id": "reviews-360937", "token_indices": [1]}
I left with a [TARGET] case [/TARGET] of BRAWLER !!!! !
n.QUANTITY
{"id": "reviews-360937-0008:4", "lemma": "case", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [4]}
I left with a case of [TARGET] BRAWLER [/TARGET] !!!! !
n.FOOD
{"id": "reviews-360937-0008:6", "lemma": "Brawler", "part_of_speech": "n", "split_group_id": "reviews-360937", "token_indices": [6]}
best [TARGET] quote [/TARGET] ever My gate was stuck halfway open so I called A CLASS Garage Doors Dr Services .
n.POSSESSION
{"id": "reviews-361316-0001:1", "lemma": "quote", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [1]}
best quote ever My [TARGET] gate [/TARGET] was stuck halfway open so I called A CLASS Garage Doors Dr Services .
n.ARTIFACT
{"id": "reviews-361316-0001:4", "lemma": "gate", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [4]}
best quote ever My gate [TARGET] was [/TARGET] stuck halfway open so I called A CLASS Garage Doors Dr Services .
v.stative
{"id": "reviews-361316-0001:5", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [5]}
best quote ever My gate was stuck halfway open so I [TARGET] called [/TARGET] A CLASS Garage Doors Dr Services .
v.communication
{"id": "reviews-361316-0001:11", "lemma": "call", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [11]}
best quote ever My gate was stuck halfway open so I called [TARGET] A [/TARGET] [TARGET] CLASS [/TARGET] [TARGET] Garage [/TARGET] [TARGET] Doors [/TARGET] [TARGET] Dr [/TARGET] [TARGET] Services [/TARGET] .
n.GROUP
{"id": "reviews-361316-0001:12,13,14,15,16,17", "lemma": "A Class Garage Door dr service", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [12, 13, 14, 15, 16, 17]}
They [TARGET] came [/TARGET] to my house in no time and started working on the gate .
v.motion
{"id": "reviews-361316-0002:1", "lemma": "come", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [1]}
They came to my [TARGET] house [/TARGET] in no time and started working on the gate .
n.LOCATION
{"id": "reviews-361316-0002:4", "lemma": "house", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [4]}
They came to my house in no time and [TARGET] started [/TARGET] working on the gate .
v.stative
{"id": "reviews-361316-0002:9", "lemma": "start", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [9]}
They came to my house in no time and started [TARGET] working [/TARGET] on the gate .
v.contact
{"id": "reviews-361316-0002:10", "lemma": "work", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [10]}
They came to my house in no time and started working on the [TARGET] gate [/TARGET] .
n.ARTIFACT
{"id": "reviews-361316-0002:13", "lemma": "gate", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [13]}
They [TARGET] were [/TARGET] very friendly and were able to explain me exactly what was wrong with it .
v.stative
{"id": "reviews-361316-0003:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [1]}
They were very friendly and [TARGET] were [/TARGET] able to explain me exactly what was wrong with it .
v.stative
{"id": "reviews-361316-0003:5", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [5]}
They were very friendly and were able to [TARGET] explain [/TARGET] me exactly what was wrong with it .
v.communication
{"id": "reviews-361316-0003:8", "lemma": "explain", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [8]}
They were very friendly and were able to explain me exactly what [TARGET] was [/TARGET] wrong with it .
v.stative
{"id": "reviews-361316-0003:12", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [12]}
Once they [TARGET] fixed [/TARGET] it they answetred all of my questions with no hesitations and then gave me the best quote ever .
v.change
{"id": "reviews-361316-0004:2", "lemma": "fix", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [2]}
Once they fixed it they [TARGET] answetred [/TARGET] all of my questions with no hesitations and then gave me the best quote ever .
v.communication
{"id": "reviews-361316-0004:5", "lemma": "answer", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [5]}
Once they fixed it they answetred all of my [TARGET] questions [/TARGET] with no hesitations and then gave me the best quote ever .
n.COMMUNICATION
{"id": "reviews-361316-0004:9", "lemma": "question", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [9]}
Once they fixed it they answetred all of my questions with no [TARGET] hesitations [/TARGET] and then gave me the best quote ever .
n.COGNITION
{"id": "reviews-361316-0004:12", "lemma": "hesitation", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [12]}
Once they fixed it they answetred all of my questions with no hesitations and then [TARGET] gave [/TARGET] me the best [TARGET] quote [/TARGET] ever .
v.communication
{"id": "reviews-361316-0004:15,19", "lemma": "give quote", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [15, 19]}
I [TARGET] know [/TARGET] that if my garage door needs to be repaired , I will be calling A CLASS Garage Doors
v.cognition
{"id": "reviews-361316-0005:1", "lemma": "know", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [1]}
I know that if my garage door [TARGET] needs [/TARGET] to be repaired , I will be calling A CLASS Garage Doors
v.cognition
{"id": "reviews-361316-0005:7", "lemma": "need", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [7]}
I know that if my garage door needs to be [TARGET] repaired [/TARGET] , I will be calling A CLASS Garage Doors
v.change
{"id": "reviews-361316-0005:10", "lemma": "repair", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [10]}
I know that if my garage door needs to be repaired , I will be [TARGET] calling [/TARGET] A CLASS Garage Doors
v.communication
{"id": "reviews-361316-0005:15", "lemma": "call", "part_of_speech": "v", "split_group_id": "reviews-361316", "token_indices": [15]}
I know that if my [TARGET] garage [/TARGET] [TARGET] door [/TARGET] needs to be repaired , I will be calling A CLASS Garage Doors
n.ARTIFACT
{"id": "reviews-361316-0005:5,6", "lemma": "garage door", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [5, 6]}
I know that if my garage door needs to be repaired , I will be calling [TARGET] A [/TARGET] [TARGET] CLASS [/TARGET] [TARGET] Garage [/TARGET] [TARGET] Doors [/TARGET]
n.GROUP
{"id": "reviews-361316-0005:16,17,18,19", "lemma": "A Class Garage Door", "part_of_speech": "n", "split_group_id": "reviews-361316", "token_indices": [16, 17, 18, 19]}
This has to [TARGET] be [/TARGET] some of the worst pizza I have ever had the misfortune of ordering .
v.stative
{"id": "reviews-361348-0002:3", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [3]}
This has to be some of the worst [TARGET] pizza [/TARGET] I have ever had the misfortune of ordering .
n.FOOD
{"id": "reviews-361348-0002:8", "lemma": "pizza", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [8]}
This has to be some of the worst pizza I have ever [TARGET] had [/TARGET] the misfortune of ordering .
v.stative
{"id": "reviews-361348-0002:12", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [12]}
This has to be some of the worst pizza I have ever had the [TARGET] misfortune [/TARGET] of ordering .
n.COGNITION
{"id": "reviews-361348-0002:14", "lemma": "misfortune", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [14]}
This has to be some of the worst pizza I have ever had the misfortune of [TARGET] ordering [/TARGET] .
v.communication
{"id": "reviews-361348-0002:16", "lemma": "order", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [16]}
The [TARGET] crust [/TARGET] was lopsided , thicker on one side than the other .
n.FOOD
{"id": "reviews-361348-0003:1", "lemma": "crust", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [1]}
The crust [TARGET] was [/TARGET] lopsided , thicker on one side than the other .
v.stative
{"id": "reviews-361348-0003:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [2]}
The crust was lopsided , thicker on one [TARGET] side [/TARGET] than the other .
n.FOOD
{"id": "reviews-361348-0003:8", "lemma": "side", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [8]}
It actually [TARGET] had [/TARGET] a hole in one of the slices .
v.stative
{"id": "reviews-361348-0004:2", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [2]}
It actually had a [TARGET] hole [/TARGET] in one of the slices .
n.FOOD
{"id": "reviews-361348-0004:4", "lemma": "hole", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [4]}
It actually had a hole in one of the [TARGET] slices [/TARGET] .
n.FOOD
{"id": "reviews-361348-0004:9", "lemma": "slice", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [9]}
There [TARGET] was [/TARGET] minimal cheese and sauce and it completely lacked flavor .
v.stative
{"id": "reviews-361348-0005:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [1]}
There was minimal [TARGET] cheese [/TARGET] and sauce and it completely lacked flavor .
n.FOOD
{"id": "reviews-361348-0005:3", "lemma": "cheese", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [3]}
There was minimal cheese and [TARGET] sauce [/TARGET] and it completely lacked flavor .
n.FOOD
{"id": "reviews-361348-0005:5", "lemma": "sauce", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [5]}
There was minimal cheese and sauce and it completely [TARGET] lacked [/TARGET] flavor .
v.stative
{"id": "reviews-361348-0005:9", "lemma": "lack", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [9]}
There was minimal cheese and sauce and it completely lacked [TARGET] flavor [/TARGET] .
n.ATTRIBUTE
{"id": "reviews-361348-0005:10", "lemma": "flavor", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [10]}
I [TARGET] know [/TARGET] New York pizza and this is not it !!
v.cognition
{"id": "reviews-361348-0006:1", "lemma": "know", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [1]}
I know New York pizza and this [TARGET] is [/TARGET] not it !!
v.stative
{"id": "reviews-361348-0006:7", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [7]}
I know [TARGET] New [/TARGET] [TARGET] York [/TARGET] [TARGET] pizza [/TARGET] and this is not it !!
n.FOOD
{"id": "reviews-361348-0006:2,3,4", "lemma": "New York pizza", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [2, 3, 4]}
This [TARGET] was [/TARGET] nothing like New York style pizza !!!.
v.stative
{"id": "reviews-361348-0007:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [1]}
This was nothing like [TARGET] New [/TARGET] [TARGET] York [/TARGET] [TARGET] style [/TARGET] [TARGET] pizza [/TARGET] !!!.
n.FOOD
{"id": "reviews-361348-0007:4,5,6,7", "lemma": "New York style pizza", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [4, 5, 6, 7]}
I [TARGET] love [/TARGET] pizza and this was a complete and utter disappointment !!
v.emotion
{"id": "reviews-361348-0008:1", "lemma": "love", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [1]}
I love [TARGET] pizza [/TARGET] and this was a complete and utter disappointment !!
n.FOOD
{"id": "reviews-361348-0008:2", "lemma": "pizza", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [2]}
I love pizza and this [TARGET] was [/TARGET] a complete and utter disappointment !!
v.stative
{"id": "reviews-361348-0008:5", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [5]}
I love pizza and this was a complete and utter [TARGET] disappointment [/TARGET] !!
n.FEELING
{"id": "reviews-361348-0008:10", "lemma": "disappointment", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [10]}
I would not [TARGET] suggest [/TARGET] this pizza to anyone !!!
v.communication
{"id": "reviews-361348-0009:3", "lemma": "suggest", "part_of_speech": "v", "split_group_id": "reviews-361348", "token_indices": [3]}
I would not suggest this [TARGET] pizza [/TARGET] to anyone !!!
n.FOOD
{"id": "reviews-361348-0009:5", "lemma": "pizza", "part_of_speech": "n", "split_group_id": "reviews-361348", "token_indices": [5]}
One [TARGET] suspects [/TARGET] that earlier reviewer works for another laundry .
v.cognition
{"id": "reviews-361545-0001:1", "lemma": "suspect", "part_of_speech": "v", "split_group_id": "reviews-361545", "token_indices": [1]}