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Five minutes before my initial lesson , I got a call from Gerry advising me of his [TARGET] arrival [/TARGET] and to come down as soon as I was ready .
n.EVENT
{"id": "reviews-048363-0008:17", "lemma": "arrival", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [17]}
Five minutes before my initial lesson , I got a call from Gerry advising me of his arrival and to come down as soon as I [TARGET] was [/TARGET] ready .
v.stative
{"id": "reviews-048363-0008:26", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [26]}
Five minutes before my initial lesson , I [TARGET] got [/TARGET] a [TARGET] call [/TARGET] from Gerry advising me of his arrival and to come down as soon as I was ready .
v.communication
{"id": "reviews-048363-0008:8,10", "lemma": "get call", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [8, 10]}
Five minutes before my initial lesson , I got a call from Gerry advising me of his arrival and to [TARGET] come [/TARGET] [TARGET] down [/TARGET] as soon as I was ready .
v.motion
{"id": "reviews-048363-0008:20,21", "lemma": "come down", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [20, 21]}
My [TARGET] heart [/TARGET] pounded as I walked down and pounded even faster upon seeing Gerry in an SUV - Lexus !
n.BODY
{"id": "reviews-048363-0009:1", "lemma": "heart", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [1]}
My heart [TARGET] pounded [/TARGET] as I walked down and pounded even faster upon seeing Gerry in an SUV - Lexus !
v.body
{"id": "reviews-048363-0009:2", "lemma": "pound", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [2]}
My heart pounded as I [TARGET] walked [/TARGET] down and pounded even faster upon seeing Gerry in an SUV - Lexus !
v.motion
{"id": "reviews-048363-0009:5", "lemma": "walk", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [5]}
My heart pounded as I walked down and [TARGET] pounded [/TARGET] even faster upon seeing Gerry in an SUV - Lexus !
v.body
{"id": "reviews-048363-0009:8", "lemma": "pound", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [8]}
My heart pounded as I walked down and pounded even faster upon [TARGET] seeing [/TARGET] Gerry in an SUV - Lexus !
v.perception
{"id": "reviews-048363-0009:12", "lemma": "see", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [12]}
My heart pounded as I walked down and pounded even faster upon seeing [TARGET] Gerry [/TARGET] in an SUV - Lexus !
n.PERSON
{"id": "reviews-048363-0009:13", "lemma": "Gerry", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [13]}
My heart pounded as I walked down and pounded even faster upon seeing Gerry in an [TARGET] SUV [/TARGET] - Lexus !
n.ARTIFACT
{"id": "reviews-048363-0009:16", "lemma": "SUV", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [16]}
My heart pounded as I walked down and pounded even faster upon seeing Gerry in an SUV - [TARGET] Lexus [/TARGET] !
n.ARTIFACT
{"id": "reviews-048363-0009:18", "lemma": "Lexus", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [18]}
I [TARGET] thought [/TARGET] of canceling the lesson once again because I did n't feel comfortable driving an SUV .
v.cognition
{"id": "reviews-048363-0010:1", "lemma": "think", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [1]}
I thought of [TARGET] canceling [/TARGET] the lesson once again because I did n't feel comfortable driving an SUV .
v.social
{"id": "reviews-048363-0010:3", "lemma": "cancel", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [3]}
I thought of canceling the [TARGET] lesson [/TARGET] once again because I did n't feel comfortable driving an SUV .
n.EVENT
{"id": "reviews-048363-0010:5", "lemma": "lesson", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [5]}
I thought of canceling the lesson once again because I did n't [TARGET] feel [/TARGET] comfortable driving an SUV .
v.cognition
{"id": "reviews-048363-0010:12", "lemma": "feel", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [12]}
I thought of canceling the lesson once again because I did n't feel comfortable [TARGET] driving [/TARGET] an SUV .
v.motion
{"id": "reviews-048363-0010:14", "lemma": "drive", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [14]}
I thought of canceling the lesson once again because I did n't feel comfortable driving an [TARGET] SUV [/TARGET] .
n.ARTIFACT
{"id": "reviews-048363-0010:16", "lemma": "suv", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [16]}
[TARGET] Gerry [/TARGET] pleasantly said " since I am already here why do n't we give it shot .
n.PERSON
{"id": "reviews-048363-0011:0", "lemma": "Gerry", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [0]}
Gerry pleasantly [TARGET] said [/TARGET] " since I am already here why do n't we give it shot .
v.communication
{"id": "reviews-048363-0011:2", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [2]}
Gerry pleasantly said " since I [TARGET] am [/TARGET] already here why do n't we give it shot .
v.stative
{"id": "reviews-048363-0011:6", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [6]}
Gerry pleasantly said " since I am already here why do n't we [TARGET] give [/TARGET] [TARGET] it [/TARGET] [TARGET] shot [/TARGET] .
v.social
{"id": "reviews-048363-0011:13,14,15", "lemma": "give it shot", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [13, 14, 15]}
I [TARGET] trust [/TARGET] you and believe that you 'll be able to handle this and all you have to do is to reciprocate !
v.cognition
{"id": "reviews-048363-0012:1", "lemma": "trust", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [1]}
I trust you and [TARGET] believe [/TARGET] that you 'll be able to handle this and all you have to do is to reciprocate !
v.cognition
{"id": "reviews-048363-0012:4", "lemma": "believe", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [4]}
I trust you and believe that you 'll [TARGET] be [/TARGET] able to handle this and all you have to do is to reciprocate !
v.stative
{"id": "reviews-048363-0012:8", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [8]}
I trust you and believe that you 'll be able to [TARGET] handle [/TARGET] this and all you have to do is to reciprocate !
v.social
{"id": "reviews-048363-0012:11", "lemma": "handle", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [11]}
I trust you and believe that you 'll be able to handle this and all you have to [TARGET] do [/TARGET] is to reciprocate !
v.change
{"id": "reviews-048363-0012:18", "lemma": "do", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [18]}
I trust you and believe that you 'll be able to handle this and all you have to do [TARGET] is [/TARGET] to reciprocate !
v.stative
{"id": "reviews-048363-0012:19", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [19]}
I trust you and believe that you 'll be able to handle this and all you have to do is to [TARGET] reciprocate [/TARGET] !
v.social
{"id": "reviews-048363-0012:21", "lemma": "reciprocate", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [21]}
[TARGET] Trust [/TARGET] me and most especially trust and believe in yourself .
v.emotion
{"id": "reviews-048363-0013:0", "lemma": "trust", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [0]}
Trust me and most especially [TARGET] trust [/TARGET] and believe in yourself .
v.emotion
{"id": "reviews-048363-0013:5", "lemma": "trust", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [5]}
Trust me and most especially trust and [TARGET] believe [/TARGET] [TARGET] in [/TARGET] yourself .
v.emotion
{"id": "reviews-048363-0013:7,8", "lemma": "believe in", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [7, 8]}
Do n't [TARGET] worry [/TARGET] , I 'll take care of you ! "
v.emotion
{"id": "reviews-048363-0014:2", "lemma": "worry", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [2]}
Do n't worry , I 'll [TARGET] take [/TARGET] [TARGET] care [/TARGET] [TARGET] of [/TARGET] you ! "
v.social
{"id": "reviews-048363-0014:6,7,8", "lemma": "take care of", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [6, 7, 8]}
Here I [TARGET] am [/TARGET] now driving confidently on my own .
v.stative
{"id": "reviews-048363-0016:2", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [2]}
Here I am now [TARGET] driving [/TARGET] confidently on my own .
v.motion
{"id": "reviews-048363-0016:4", "lemma": "drive", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [4]}
[TARGET] Gerry [/TARGET] , I ca n't thank you enough for helping me cope with my fear .
n.PERSON
{"id": "reviews-048363-0017:0", "lemma": "Gerry", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [0]}
Gerry , I ca n't [TARGET] thank [/TARGET] you enough for helping me cope with my fear .
v.communication
{"id": "reviews-048363-0017:5", "lemma": "thank", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [5]}
Gerry , I ca n't thank you enough for [TARGET] helping [/TARGET] me cope with my fear .
v.social
{"id": "reviews-048363-0017:9", "lemma": "help", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [9]}
Gerry , I ca n't thank you enough for helping me [TARGET] cope [/TARGET] with my fear .
v.emotion
{"id": "reviews-048363-0017:11", "lemma": "cope", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [11]}
Gerry , I ca n't thank you enough for helping me cope with my [TARGET] fear [/TARGET] .
n.COGNITION
{"id": "reviews-048363-0017:14", "lemma": "fear", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [14]}
To my [TARGET] friend [/TARGET] , thank you for your recommendation ... you were true to your words in saying Gerry is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving school there is !
n.PERSON
{"id": "reviews-048363-0018:2", "lemma": "friend", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [2]}
To my friend , thank you for your [TARGET] recommendation [/TARGET] ... you were true to your words in saying Gerry is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving school there is !
n.COGNITION
{"id": "reviews-048363-0018:8", "lemma": "recommendation", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [8]}
To my friend , thank you for your recommendation ... you [TARGET] were [/TARGET] true to your words in saying Gerry is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving school there is !
v.stative
{"id": "reviews-048363-0018:11", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [11]}
To my friend , thank you for your recommendation ... you were true to your words in [TARGET] saying [/TARGET] Gerry is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving school there is !
v.communication
{"id": "reviews-048363-0018:17", "lemma": "say", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [17]}
To my friend , thank you for your recommendation ... you were true to your words in saying [TARGET] Gerry [/TARGET] is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving school there is !
n.PERSON
{"id": "reviews-048363-0018:18", "lemma": "Gerry", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [18]}
To my friend , thank you for your recommendation ... you were true to your words in saying Gerry [TARGET] is [/TARGET] a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving school there is !
v.stative
{"id": "reviews-048363-0018:19", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [19]}
To my friend , thank you for your recommendation ... you were true to your words in saying Gerry is a " Saintly [TARGET] Instructor [/TARGET] ... Absolutely Simple the Best Instructor and Best Driving school there is !
n.PERSON
{"id": "reviews-048363-0018:23", "lemma": "instructor", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [23]}
To my friend , thank you for your recommendation ... you were true to your words in saying Gerry is a " Saintly Instructor ... Absolutely Simple the Best [TARGET] Instructor [/TARGET] and Best Driving school there is !
n.PERSON
{"id": "reviews-048363-0018:29", "lemma": "instructor", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [29]}
To my friend , thank you for your recommendation ... you were true to your words in saying Gerry is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best [TARGET] Driving [/TARGET] school there is !
n.ACT
{"id": "reviews-048363-0018:32", "lemma": "driving", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [32]}
To my friend , thank you for your recommendation ... you were true to your words in saying Gerry is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving [TARGET] school [/TARGET] there is !
n.GROUP
{"id": "reviews-048363-0018:33", "lemma": "school", "part_of_speech": "n", "split_group_id": "reviews-048363", "token_indices": [33]}
To my friend , thank you for your recommendation ... you were true to your words in saying Gerry is a " Saintly Instructor ... Absolutely Simple the Best Instructor and Best Driving school there [TARGET] is [/TARGET] !
v.stative
{"id": "reviews-048363-0018:35", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-048363", "token_indices": [35]}
[TARGET] WWW [/TARGET] - Wonderful Wild Wildernest inn
n.COMMUNICATION
{"id": "reviews-049766-0001:0", "lemma": "WWW", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [0]}
WWW - [TARGET] Wonderful [/TARGET] [TARGET] Wild [/TARGET] [TARGET] Wildernest [/TARGET] [TARGET] inn [/TARGET]
n.COMMUNICATION
{"id": "reviews-049766-0001:2,3,4,5", "lemma": "wonderful wild Wildernest inn", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [2, 3, 4, 5]}
I would [TARGET] give [/TARGET] the Wildernest inn ten stars of five !
v.cognition
{"id": "reviews-049766-0002:2", "lemma": "give", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [2]}
I would give the [TARGET] Wildernest [/TARGET] [TARGET] inn [/TARGET] ten stars of five !
n.GROUP
{"id": "reviews-049766-0002:4,5", "lemma": "Wildernest inn", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [4, 5]}
I would give the Wildernest inn [TARGET] ten [/TARGET] [TARGET] stars [/TARGET] of five !
n.COMMUNICATION
{"id": "reviews-049766-0002:6,7", "lemma": "ten star", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [6, 7]}
Atop Spring Mountain , from the [TARGET] decks [/TARGET] of the West porch , " one can see forever " a scene of unparalleled beauty and grandeur .
n.ARTIFACT
{"id": "reviews-049766-0003:6", "lemma": "deck", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [6]}
Atop Spring Mountain , from the decks of the [TARGET] West [/TARGET] porch , " one can see forever " a scene of unparalleled beauty and grandeur .
n.RELATION
{"id": "reviews-049766-0003:9", "lemma": "west", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [9]}
Atop Spring Mountain , from the decks of the West [TARGET] porch [/TARGET] , " one can see forever " a scene of unparalleled beauty and grandeur .
n.ARTIFACT
{"id": "reviews-049766-0003:10", "lemma": "porch", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [10]}
Atop Spring Mountain , from the decks of the West porch , " one can [TARGET] see [/TARGET] forever " a scene of unparalleled beauty and grandeur .
v.perception
{"id": "reviews-049766-0003:15", "lemma": "see", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [15]}
Atop Spring Mountain , from the decks of the West porch , " one can see forever " a [TARGET] scene [/TARGET] of unparalleled beauty and grandeur .
n.NATURALOBJECT
{"id": "reviews-049766-0003:19", "lemma": "scene", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [19]}
Atop Spring Mountain , from the decks of the West porch , " one can see forever " a scene of unparalleled [TARGET] beauty [/TARGET] and grandeur .
n.ATTRIBUTE
{"id": "reviews-049766-0003:22", "lemma": "beauty", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [22]}
Atop Spring Mountain , from the decks of the West porch , " one can see forever " a scene of unparalleled beauty and [TARGET] grandeur [/TARGET] .
n.ATTRIBUTE
{"id": "reviews-049766-0003:24", "lemma": "grandeur", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [24]}
Atop [TARGET] Spring [/TARGET] [TARGET] Mountain [/TARGET] , from the decks of the West porch , " one can see forever " a scene of unparalleled beauty and grandeur .
n.NATURALOBJECT
{"id": "reviews-049766-0003:1,2", "lemma": "Spring Mountain", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [1, 2]}
I [TARGET] saw [/TARGET] deer frequently , in fact a small herd were grazing near the lodge .
v.perception
{"id": "reviews-049766-0004:1", "lemma": "see", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [1]}
I saw [TARGET] deer [/TARGET] frequently , in fact a small herd were grazing near the lodge .
n.ANIMAL
{"id": "reviews-049766-0004:2", "lemma": "deer", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [2]}
I saw deer frequently , in fact a small [TARGET] herd [/TARGET] were grazing near the lodge .
n.GROUP
{"id": "reviews-049766-0004:9", "lemma": "herd", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [9]}
I saw deer frequently , in fact a small herd were [TARGET] grazing [/TARGET] near the lodge .
v.consumption
{"id": "reviews-049766-0004:11", "lemma": "graze", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [11]}
I saw deer frequently , in fact a small herd were grazing near the [TARGET] lodge [/TARGET] .
n.ARTIFACT
{"id": "reviews-049766-0004:14", "lemma": "lodge", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [14]}
There [TARGET] were [/TARGET] occasional bears on the deck in the morning .
v.stative
{"id": "reviews-049766-0005:1", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [1]}
There were occasional [TARGET] bears [/TARGET] on the deck in the morning .
n.ANIMAL
{"id": "reviews-049766-0005:3", "lemma": "bear", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [3]}
There were occasional bears on the [TARGET] deck [/TARGET] in the morning .
n.ARTIFACT
{"id": "reviews-049766-0005:6", "lemma": "deck", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [6]}
There were occasional bears on the deck in the [TARGET] morning [/TARGET] .
n.TIME
{"id": "reviews-049766-0005:9", "lemma": "morning", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [9]}
and most correctly , us [TARGET] visitors [/TARGET] did not mingle with the native wildlife .
n.PERSON
{"id": "reviews-049766-0006:5", "lemma": "visitor", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [5]}
and most correctly , us visitors did not [TARGET] mingle [/TARGET] with the native wildlife .
v.social
{"id": "reviews-049766-0006:8", "lemma": "mingle", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [8]}
and most correctly , us visitors did not mingle with the native [TARGET] wildlife [/TARGET] .
n.ANIMAL
{"id": "reviews-049766-0006:12", "lemma": "wildlife", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [12]}
It would have been more than one could [TARGET] bear [/TARGET] !
v.cognition
{"id": "reviews-049766-0007:8", "lemma": "bear", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [8]}
[TARGET] Kathy [/TARGET] and Stewart , the proprietors were the epitome of perfection .
n.PERSON
{"id": "reviews-049766-0008:0", "lemma": "Kathy", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [0]}
Kathy and [TARGET] Stewart [/TARGET] , the proprietors were the epitome of perfection .
n.PERSON
{"id": "reviews-049766-0008:2", "lemma": "Stewart", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [2]}
Kathy and Stewart , the [TARGET] proprietors [/TARGET] were the epitome of perfection .
n.PERSON
{"id": "reviews-049766-0008:5", "lemma": "proprietor", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [5]}
Kathy and Stewart , the proprietors [TARGET] were [/TARGET] the epitome of perfection .
v.stative
{"id": "reviews-049766-0008:6", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [6]}
Kathy and Stewart , the proprietors were the [TARGET] epitome [/TARGET] of perfection .
n.COGNITION
{"id": "reviews-049766-0008:8", "lemma": "epitome", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [8]}
Kathy and Stewart , the proprietors were the epitome of [TARGET] perfection [/TARGET] .
n.COGNITION
{"id": "reviews-049766-0008:10", "lemma": "perfection", "part_of_speech": "n", "split_group_id": "reviews-049766", "token_indices": [10]}
I [TARGET] hope [/TARGET] to be back !
v.emotion
{"id": "reviews-049766-0010:1", "lemma": "hope", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [1]}
I hope to [TARGET] be [/TARGET] back !
v.stative
{"id": "reviews-049766-0010:3", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-049766", "token_indices": [3]}
[TARGET] Quit [/TARGET] with the overstatements !
v.cognition
{"id": "reviews-053248-0001:0", "lemma": "quit", "part_of_speech": "v", "split_group_id": "reviews-053248", "token_indices": [0]}
Quit with the [TARGET] overstatements [/TARGET] !
n.COMMUNICATION
{"id": "reviews-053248-0001:3", "lemma": "overstatement", "part_of_speech": "n", "split_group_id": "reviews-053248", "token_indices": [3]}
The worst [TARGET] thing [/TARGET] that can happen for any restaurant like Zahav is to have too many people write hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
n.OTHER
{"id": "reviews-053248-0002:2", "lemma": "thing", "part_of_speech": "n", "split_group_id": "reviews-053248", "token_indices": [2]}
The worst thing that can [TARGET] happen [/TARGET] for any restaurant like Zahav is to have too many people write hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
v.stative
{"id": "reviews-053248-0002:5", "lemma": "happen", "part_of_speech": "v", "split_group_id": "reviews-053248", "token_indices": [5]}
The worst thing that can happen for any [TARGET] restaurant [/TARGET] like Zahav is to have too many people write hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
n.GROUP
{"id": "reviews-053248-0002:8", "lemma": "restaurant", "part_of_speech": "n", "split_group_id": "reviews-053248", "token_indices": [8]}
The worst thing that can happen for any restaurant like [TARGET] Zahav [/TARGET] is to have too many people write hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
n.GROUP
{"id": "reviews-053248-0002:10", "lemma": "Zahav", "part_of_speech": "n", "split_group_id": "reviews-053248", "token_indices": [10]}
The worst thing that can happen for any restaurant like Zahav [TARGET] is [/TARGET] to have too many people write hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
v.stative
{"id": "reviews-053248-0002:11", "lemma": "be", "part_of_speech": "v", "split_group_id": "reviews-053248", "token_indices": [11]}
The worst thing that can happen for any restaurant like Zahav is to [TARGET] have [/TARGET] too many people write hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
v.stative
{"id": "reviews-053248-0002:13", "lemma": "have", "part_of_speech": "v", "split_group_id": "reviews-053248", "token_indices": [13]}
The worst thing that can happen for any restaurant like Zahav is to have too many [TARGET] people [/TARGET] write hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
n.PERSON
{"id": "reviews-053248-0002:16", "lemma": "people", "part_of_speech": "n", "split_group_id": "reviews-053248", "token_indices": [16]}
The worst thing that can happen for any restaurant like Zahav is to have too many people [TARGET] write [/TARGET] hyperbolic reviews making claims that " everyone " is going to " love " the food , decor and service .
v.communication
{"id": "reviews-053248-0002:17", "lemma": "write", "part_of_speech": "v", "split_group_id": "reviews-053248", "token_indices": [17]}
The worst thing that can happen for any restaurant like Zahav is to have too many people write hyperbolic [TARGET] reviews [/TARGET] making claims that " everyone " is going to " love " the food , decor and service .
n.COMMUNICATION
{"id": "reviews-053248-0002:19", "lemma": "review", "part_of_speech": "n", "split_group_id": "reviews-053248", "token_indices": [19]}
The worst thing that can happen for any restaurant like Zahav is to have too many people write hyperbolic reviews [TARGET] making [/TARGET] claims that " everyone " is going to " love " the food , decor and service .
v.stative
{"id": "reviews-053248-0002:20", "lemma": "make", "part_of_speech": "v", "split_group_id": "reviews-053248", "token_indices": [20]}
The worst thing that can happen for any restaurant like Zahav is to have too many people write hyperbolic reviews making [TARGET] claims [/TARGET] that " everyone " is going to " love " the food , decor and service .
n.COMMUNICATION
{"id": "reviews-053248-0002:21", "lemma": "claim", "part_of_speech": "n", "split_group_id": "reviews-053248", "token_indices": [21]}
The worst thing that can happen for any restaurant like Zahav is to have too many people write hyperbolic reviews making claims that " everyone " is going to " [TARGET] love [/TARGET] " the food , decor and service .
v.emotion
{"id": "reviews-053248-0002:30", "lemma": "love", "part_of_speech": "v", "split_group_id": "reviews-053248", "token_indices": [30]}