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I have also [TARGET] had [/TARGET] an 80 yr old that I take of sent to the ER and long stays in the hospital .
v.stative
{"id": "reviews-169083-0002:3", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [3]}
I have also had an 80 yr old that I take of [TARGET] sent [/TARGET] to the ER and long stays in the hospital .
v.motion
{"id": "reviews-169083-0002:12", "lemma": "send", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [12]}
I have also had an 80 yr old that I take of sent to the [TARGET] ER [/TARGET] and long stays in the hospital .
n.LOCATION
{"id": "reviews-169083-0002:15", "lemma": "er", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [15]}
I have also had an 80 yr old that I take of sent to the ER and long [TARGET] stays [/TARGET] in the hospital .
n.EVENT
{"id": "reviews-169083-0002:18", "lemma": "stay", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [18]}
I have also had an 80 yr old that I take of sent to the ER and long stays in the [TARGET] hospital [/TARGET] .
n.GROUP
{"id": "reviews-169083-0002:21", "lemma": "hospital", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [21]}
I have also had an 80 [TARGET] yr [/TARGET] [TARGET] old [/TARGET] that I take of sent to the ER and long stays in the hospital .
n.PERSON
{"id": "reviews-169083-0002:6,7", "lemma": "year old", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [6, 7]}
I have also had an 80 yr old that I [TARGET] take [/TARGET] [TARGET] of [/TARGET] sent to the ER and long stays in the hospital .
v.social
{"id": "reviews-169083-0002:10,11", "lemma": "take of", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [10, 11]}
Yes , we had to [TARGET] wait [/TARGET] , but ER is a triage system that takes the most life threatening cases first .
v.cognition
{"id": "reviews-169083-0003:5", "lemma": "wait", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [5]}
Yes , we had to wait , but [TARGET] ER [/TARGET] is a triage system that takes the most life threatening cases first .
n.LOCATION
{"id": "reviews-169083-0003:8", "lemma": "er", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [8]}
Yes , we had to wait , but ER [TARGET] is [/TARGET] a triage system that takes the most life threatening cases first .
v.stative
{"id": "reviews-169083-0003:9", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [9]}
Yes , we had to wait , but ER is a [TARGET] triage [/TARGET] system that takes the most life threatening cases first .
n.PROCESS
{"id": "reviews-169083-0003:11", "lemma": "triage", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [11]}
Yes , we had to wait , but ER is a triage [TARGET] system [/TARGET] that takes the most life threatening cases first .
n.PROCESS
{"id": "reviews-169083-0003:12", "lemma": "system", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [12]}
Yes , we had to wait , but ER is a triage system that [TARGET] takes [/TARGET] the most life threatening cases first .
v.social
{"id": "reviews-169083-0003:14", "lemma": "take", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [14]}
Yes , we had to wait , but ER is a triage system that takes the most [TARGET] life [/TARGET] threatening cases first .
n.PHENOMENON
{"id": "reviews-169083-0003:17", "lemma": "life", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [17]}
Yes , we had to wait , but ER is a triage system that takes the most life [TARGET] threatening [/TARGET] cases first .
v.cognition
{"id": "reviews-169083-0003:18", "lemma": "threaten", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [18]}
Yes , we had to wait , but ER is a triage system that takes the most life threatening [TARGET] cases [/TARGET] first .
n.EVENT
{"id": "reviews-169083-0003:19", "lemma": "case", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [19]}
Any [TARGET] ER [/TARGET] would be the same .
n.LOCATION
{"id": "reviews-169083-0004:1", "lemma": "er", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [1]}
Any ER would [TARGET] be [/TARGET] the same .
v.stative
{"id": "reviews-169083-0004:3", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [3]}
As far as being [TARGET] treated [/TARGET] like a drug seeker , that has not been my experience .
v.social
{"id": "reviews-169083-0005:4", "lemma": "treat", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [4]}
As far as being treated like a [TARGET] drug [/TARGET] seeker , that has not been my experience .
n.SUBSTANCE
{"id": "reviews-169083-0005:7", "lemma": "drug", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [7]}
As far as being treated like a drug [TARGET] seeker [/TARGET] , that has not been my experience .
n.PERSON
{"id": "reviews-169083-0005:8", "lemma": "seeker", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [8]}
As far as being treated like a drug seeker , that has not [TARGET] been [/TARGET] my experience .
v.stative
{"id": "reviews-169083-0005:13", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [13]}
As far as being treated like a drug seeker , that has not been my [TARGET] experience [/TARGET] .
n.EVENT
{"id": "reviews-169083-0005:15", "lemma": "experience", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [15]}
As a [TARGET] nurse [/TARGET] I know about drug seekers .
n.PERSON
{"id": "reviews-169083-0006:2", "lemma": "nurse", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [2]}
As a nurse I [TARGET] know [/TARGET] about drug seekers .
v.cognition
{"id": "reviews-169083-0006:4", "lemma": "know", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [4]}
As a nurse I know about [TARGET] drug [/TARGET] seekers .
n.SUBSTANCE
{"id": "reviews-169083-0006:6", "lemma": "drug", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [6]}
As a nurse I know about drug [TARGET] seekers [/TARGET] .
n.PERSON
{"id": "reviews-169083-0006:7", "lemma": "seeker", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [7]}
This [TARGET] is [/TARGET] a great hospital and even better since it became part of the UW system .
v.stative
{"id": "reviews-169083-0007:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [1]}
This is a great [TARGET] hospital [/TARGET] and even better since it became part of the UW system .
n.GROUP
{"id": "reviews-169083-0007:4", "lemma": "hospital", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [4]}
This is a great hospital and even better since it [TARGET] became [/TARGET] part of the UW system .
v.stative
{"id": "reviews-169083-0007:10", "lemma": "become", "part_of_speech": "v", "split_group_id": "reviews-169083", "token_indices": [10]}
This is a great hospital and even better since it became [TARGET] part [/TARGET] of the UW system .
n.RELATION
{"id": "reviews-169083-0007:11", "lemma": "part", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [11]}
This is a great hospital and even better since it became part of the [TARGET] UW [/TARGET] system .
n.LOCATION
{"id": "reviews-169083-0007:14", "lemma": "UW", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [14]}
This is a great hospital and even better since it became part of the UW [TARGET] system [/TARGET] .
n.GROUP
{"id": "reviews-169083-0007:15", "lemma": "system", "part_of_speech": "n", "split_group_id": "reviews-169083", "token_indices": [15]}
NEVER [TARGET] fear [/TARGET] going to the dentist again !
v.emotion
{"id": "reviews-170650-0001:1", "lemma": "fear", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [1]}
NEVER fear [TARGET] going [/TARGET] to the dentist again !
v.motion
{"id": "reviews-170650-0001:2", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [2]}
NEVER fear going to the [TARGET] dentist [/TARGET] again !
n.PERSON
{"id": "reviews-170650-0001:5", "lemma": "dentist", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [5]}
I [TARGET] 'm [/TARGET] 61 years old and have dental problems my entire life .
v.stative
{"id": "reviews-170650-0002:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [1]}
I 'm 61 years old and [TARGET] have [/TARGET] dental problems my entire life .
v.stative
{"id": "reviews-170650-0002:6", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [6]}
I 'm 61 years old and have dental [TARGET] problems [/TARGET] my entire life .
n.COGNITION
{"id": "reviews-170650-0002:8", "lemma": "problem", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [8]}
I 'm 61 years old and have dental problems my entire [TARGET] life [/TARGET] .
n.TIME
{"id": "reviews-170650-0002:11", "lemma": "life", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [11]}
By the [TARGET] age [/TARGET] of 24 I stopped going to the dentist .
n.ATTRIBUTE
{"id": "reviews-170650-0003:2", "lemma": "age", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [2]}
By the age of 24 I [TARGET] stopped [/TARGET] going to the dentist .
v.change
{"id": "reviews-170650-0003:6", "lemma": "stop", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [6]}
By the age of 24 I stopped [TARGET] going [/TARGET] to the dentist .
v.motion
{"id": "reviews-170650-0003:7", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [7]}
By the age of 24 I stopped going to the [TARGET] dentist [/TARGET] .
n.PERSON
{"id": "reviews-170650-0003:10", "lemma": "dentist", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [10]}
My [TARGET] fear [/TARGET] and discomfort from dental work scared me !
n.FEELING
{"id": "reviews-170650-0004:1", "lemma": "fear", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [1]}
My fear and [TARGET] discomfort [/TARGET] from dental work scared me !
n.FEELING
{"id": "reviews-170650-0004:3", "lemma": "discomfort", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [3]}
My fear and discomfort from dental work [TARGET] scared [/TARGET] me !
v.emotion
{"id": "reviews-170650-0004:7", "lemma": "scare", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [7]}
My fear and discomfort from [TARGET] dental [/TARGET] [TARGET] work [/TARGET] scared me !
n.ACT
{"id": "reviews-170650-0004:5,6", "lemma": "dental work", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [5, 6]}
It took all the courage I could [TARGET] muster [/TARGET] to make an appointment .
v.cognition
{"id": "reviews-170650-0005:7", "lemma": "muster", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [7]}
It [TARGET] took [/TARGET] all the [TARGET] courage [/TARGET] I could muster to make an appointment .
v.emotion
{"id": "reviews-170650-0005:1,4", "lemma": "take courage", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [1, 4]}
It took all the courage I could muster to [TARGET] make [/TARGET] an [TARGET] appointment [/TARGET] .
v.communication
{"id": "reviews-170650-0005:9,11", "lemma": "make appointment", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [9, 11]}
At the front door of his [TARGET] office [/TARGET] , I nearly turned around .
n.GROUP
{"id": "reviews-170650-0006:6", "lemma": "office", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [6]}
At the front door of his office , I nearly [TARGET] turned [/TARGET] around .
v.motion
{"id": "reviews-170650-0006:10", "lemma": "turn", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [10]}
At the [TARGET] front [/TARGET] [TARGET] door [/TARGET] of his office , I nearly turned around .
n.LOCATION
{"id": "reviews-170650-0006:2,3", "lemma": "front door", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [2, 3]}
I [TARGET] considered [/TARGET] just leaving after going inside and nearly did .
v.cognition
{"id": "reviews-170650-0007:1", "lemma": "consider", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [1]}
I considered just [TARGET] leaving [/TARGET] after going inside and nearly did .
v.motion
{"id": "reviews-170650-0007:3", "lemma": "leave", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [3]}
I considered just leaving after [TARGET] going [/TARGET] inside and nearly did .
v.motion
{"id": "reviews-170650-0007:5", "lemma": "go", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [5]}
Doctor Gonzales and his entire [TARGET] staff [/TARGET] are the most professional people I have ever dealt with .
n.GROUP
{"id": "reviews-170650-0008:5", "lemma": "staff", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [5]}
Doctor Gonzales and his entire staff [TARGET] are [/TARGET] the most professional people I have ever dealt with .
v.stative
{"id": "reviews-170650-0008:6", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [6]}
Doctor Gonzales and his entire staff are the most professional [TARGET] people [/TARGET] I have ever dealt with .
n.PERSON
{"id": "reviews-170650-0008:10", "lemma": "people", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [10]}
[TARGET] Doctor [/TARGET] [TARGET] Gonzales [/TARGET] and his entire staff are the most professional people I have ever dealt with .
n.PERSON
{"id": "reviews-170650-0008:0,1", "lemma": "Doctor Gonzales", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [0, 1]}
Doctor Gonzales and his entire staff are the most professional people I have ever [TARGET] dealt [/TARGET] [TARGET] with [/TARGET] .
v.cognition
{"id": "reviews-170650-0008:14,15", "lemma": "deal with", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [14, 15]}
They [TARGET] made [/TARGET] me feel confident in what they would do , and treated me like a member of their own family .
v.cognition
{"id": "reviews-170650-0009:1", "lemma": "make", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [1]}
They made me [TARGET] feel [/TARGET] confident in what they would do , and treated me like a member of their own family .
v.emotion
{"id": "reviews-170650-0009:3", "lemma": "feel", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [3]}
They made me feel confident in what they would [TARGET] do [/TARGET] , and treated me like a member of their own family .
v.stative
{"id": "reviews-170650-0009:9", "lemma": "do", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [9]}
They made me feel confident in what they would do , and [TARGET] treated [/TARGET] me like a member of their own family .
v.social
{"id": "reviews-170650-0009:12", "lemma": "treat", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [12]}
They made me feel confident in what they would do , and treated me like a [TARGET] member [/TARGET] of their own family .
n.PERSON
{"id": "reviews-170650-0009:16", "lemma": "member", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [16]}
They made me feel confident in what they would do , and treated me like a member of their own [TARGET] family [/TARGET] .
n.GROUP
{"id": "reviews-170650-0009:20", "lemma": "family", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [20]}
I never [TARGET] felt [/TARGET] pain or discomfort .
v.perception
{"id": "reviews-170650-0010:2", "lemma": "feel", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [2]}
I never felt [TARGET] pain [/TARGET] or discomfort .
n.STATE
{"id": "reviews-170650-0010:3", "lemma": "pain", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [3]}
I never felt pain or [TARGET] discomfort [/TARGET] .
n.STATE
{"id": "reviews-170650-0010:5", "lemma": "discomfort", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [5]}
The [TARGET] ability [/TARGET] to smile and eat again can only be described as a whole new lease on life .
n.COGNITION
{"id": "reviews-170650-0011:1", "lemma": "ability", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [1]}
The ability to [TARGET] smile [/TARGET] and eat again can only be described as a whole new lease on life .
v.body
{"id": "reviews-170650-0011:3", "lemma": "smile", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [3]}
The ability to smile and [TARGET] eat [/TARGET] again can only be described as a whole new lease on life .
v.consumption
{"id": "reviews-170650-0011:5", "lemma": "eat", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [5]}
The ability to smile and eat again can only be [TARGET] described [/TARGET] as a whole new lease on life .
v.communication
{"id": "reviews-170650-0011:10", "lemma": "describe", "part_of_speech": "v", "split_group_id": "reviews-170650", "token_indices": [10]}
The ability to smile and eat again can only be described as a whole [TARGET] new [/TARGET] [TARGET] lease [/TARGET] [TARGET] on [/TARGET] [TARGET] life [/TARGET] .
n.COGNITION
{"id": "reviews-170650-0011:14,15,16,17", "lemma": "new lease on life", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [14, 15, 16, 17]}
Thank you Doctor Gonzales , Doctor Stout , Eva Marie and the entire [TARGET] staff [/TARGET] !
n.GROUP
{"id": "reviews-170650-0012:13", "lemma": "staff", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [13]}
Thank you [TARGET] Doctor [/TARGET] [TARGET] Gonzales [/TARGET] , Doctor Stout , Eva Marie and the entire staff !
n.PERSON
{"id": "reviews-170650-0012:2,3", "lemma": "Doctor Gonzales", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [2, 3]}
Thank you Doctor Gonzales , [TARGET] Doctor [/TARGET] [TARGET] Stout [/TARGET] , Eva Marie and the entire staff !
n.PERSON
{"id": "reviews-170650-0012:5,6", "lemma": "Doctor Stout", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [5, 6]}
Thank you Doctor Gonzales , Doctor Stout , [TARGET] Eva [/TARGET] [TARGET] Marie [/TARGET] and the entire staff !
n.PERSON
{"id": "reviews-170650-0012:8,9", "lemma": "Eva Marie", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [8, 9]}
Rocky M. Lange Retired [TARGET] Coordinator [/TARGET] , Clark County School District
n.PERSON
{"id": "reviews-170650-0013:4", "lemma": "coordinator", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [4]}
[TARGET] Rocky [/TARGET] [TARGET] M. [/TARGET] [TARGET] Lange [/TARGET] Retired Coordinator , Clark County School District
n.PERSON
{"id": "reviews-170650-0013:0,1,2", "lemma": "Rocky M. Lange", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [0, 1, 2]}
Rocky M. Lange Retired Coordinator , [TARGET] Clark [/TARGET] [TARGET] County [/TARGET] [TARGET] School [/TARGET] [TARGET] District [/TARGET]
n.GROUP
{"id": "reviews-170650-0013:6,7,8,9", "lemma": "Clark County School District", "part_of_speech": "n", "split_group_id": "reviews-170650", "token_indices": [6, 7, 8, 9]}
Wonderful [TARGET] Experience [/TARGET]
n.EVENT
{"id": "reviews-180886-0001:1", "lemma": "experience", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [1]}
I [TARGET] had [/TARGET] immense pain on a Sunday morning , with friends and family telling me that I would never find a Dentist on a Sunday .
v.stative
{"id": "reviews-180886-0002:1", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-180886", "token_indices": [1]}
I had immense [TARGET] pain [/TARGET] on a Sunday morning , with friends and family telling me that I would never find a Dentist on a Sunday .
n.STATE
{"id": "reviews-180886-0002:3", "lemma": "pain", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [3]}
I had immense pain on a [TARGET] Sunday [/TARGET] morning , with friends and family telling me that I would never find a Dentist on a Sunday .
n.TIME
{"id": "reviews-180886-0002:6", "lemma": "Sunday", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [6]}
I had immense pain on a Sunday [TARGET] morning [/TARGET] , with friends and family telling me that I would never find a Dentist on a Sunday .
n.TIME
{"id": "reviews-180886-0002:7", "lemma": "morning", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [7]}
I had immense pain on a Sunday morning , with [TARGET] friends [/TARGET] and family telling me that I would never find a Dentist on a Sunday .
n.PERSON
{"id": "reviews-180886-0002:10", "lemma": "friend", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [10]}
I had immense pain on a Sunday morning , with friends and [TARGET] family [/TARGET] telling me that I would never find a Dentist on a Sunday .
n.GROUP
{"id": "reviews-180886-0002:12", "lemma": "family", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [12]}
I had immense pain on a Sunday morning , with friends and family [TARGET] telling [/TARGET] me that I would never find a Dentist on a Sunday .
v.communication
{"id": "reviews-180886-0002:13", "lemma": "tell", "part_of_speech": "v", "split_group_id": "reviews-180886", "token_indices": [13]}
I had immense pain on a Sunday morning , with friends and family telling me that I would never [TARGET] find [/TARGET] a Dentist on a Sunday .
v.cognition
{"id": "reviews-180886-0002:19", "lemma": "find", "part_of_speech": "v", "split_group_id": "reviews-180886", "token_indices": [19]}
I had immense pain on a Sunday morning , with friends and family telling me that I would never find a [TARGET] Dentist [/TARGET] on a Sunday .
n.PERSON
{"id": "reviews-180886-0002:21", "lemma": "dentist", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [21]}
I had immense pain on a Sunday morning , with friends and family telling me that I would never find a Dentist on a [TARGET] Sunday [/TARGET] .
n.TIME
{"id": "reviews-180886-0002:24", "lemma": "Sunday", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [24]}
Dr. Taylor [TARGET] was [/TARGET] not only available on a Sunday , but also was able to immediately take care of me .
v.stative
{"id": "reviews-180886-0003:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-180886", "token_indices": [2]}
Dr. Taylor was not only available on a [TARGET] Sunday [/TARGET] , but also was able to immediately take care of me .
n.TIME
{"id": "reviews-180886-0003:8", "lemma": "Sunday", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [8]}
Dr. Taylor was not only available on a Sunday , but also [TARGET] was [/TARGET] able to immediately take care of me .
v.stative
{"id": "reviews-180886-0003:12", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-180886", "token_indices": [12]}
[TARGET] Dr. [/TARGET] [TARGET] Taylor [/TARGET] was not only available on a Sunday , but also was able to immediately take care of me .
n.PERSON
{"id": "reviews-180886-0003:0,1", "lemma": "Dr. Taylor", "part_of_speech": "n", "split_group_id": "reviews-180886", "token_indices": [0, 1]}
Dr. Taylor was not only available on a Sunday , but also was able to immediately [TARGET] take [/TARGET] [TARGET] care [/TARGET] [TARGET] of [/TARGET] me .
v.social
{"id": "reviews-180886-0003:16,17,18", "lemma": "take care of", "part_of_speech": "v", "split_group_id": "reviews-180886", "token_indices": [16, 17, 18]}
He [TARGET] was [/TARGET] incredibly informative about the options I had , giving me opinions on different treatments to choose from .
v.stative
{"id": "reviews-180886-0004:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-180886", "token_indices": [1]}