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sts14-s1tos2-3505
Generate text that is semantically similar to this text: well , at least we know the slides work now .
boeing 787s are grounded by japanese airlines
sts14-s2tos1-3505
Generate text that is semantically similar to this text: boeing 787s are grounded by japanese airlines
well , at least we know the slides work now .
sts14-s1tos2-3506
Generate text that is semantically similar to this text: nytimes : what we don ’ t know is killing us -couldn 't agree more ! e.g. , research on ipv homicides & guns is critical .
editorial : what we don ? t know is killing us
sts14-s2tos1-3506
Generate text that is semantically similar to this text: editorial : what we don ? t know is killing us
nytimes : what we don ’ t know is killing us -couldn 't agree more ! e.g. , research on ipv homicides & guns is critical .
sts14-s1tos2-3507
Generate text that is semantically similar to this text: bho gun proposal 2 look beyond mass shootings in taking steps to completely disarm americans so that only elites prtctd
obama gun proposal to look beyond mass shootings
sts14-s2tos1-3507
Generate text that is semantically similar to this text: obama gun proposal to look beyond mass shootings
bho gun proposal 2 look beyond mass shootings in taking steps to completely disarm americans so that only elites prtctd
sts14-s1tos2-3508
Generate text that is semantically similar to this text: the deadly toll of cluster bombs in # syria
gruesome toll of cluster bombs
sts14-s2tos1-3508
Generate text that is semantically similar to this text: gruesome toll of cluster bombs
the deadly toll of cluster bombs in # syria
sts14-s1tos2-3509
Generate text that is semantically similar to this text: ! pay it forward - note on a napkin , ' this meal is on us ' -
note on napkin : ' this meal is on us'
sts14-s2tos1-3509
Generate text that is semantically similar to this text: note on napkin : ' this meal is on us'
! pay it forward - note on a napkin , ' this meal is on us ' -
sts14-s1tos2-3510
Generate text that is semantically similar to this text: jacqui weaver tells the ny times : ? i do have friends in australia who now refer to me as ? hollywood jack ? ?
jacki weaver and the lord of greenwich village
sts14-s2tos1-3510
Generate text that is semantically similar to this text: jacki weaver and the lord of greenwich village
jacqui weaver tells the ny times : ? i do have friends in australia who now refer to me as ? hollywood jack ? ?
sts14-s1tos2-3511
Generate text that is semantically similar to this text: flowers in winter ? camellias are some of my favorite prerennials .
in the garden : camellias ready for a cold snap
sts14-s2tos1-3511
Generate text that is semantically similar to this text: in the garden : camellias ready for a cold snap
flowers in winter ? camellias are some of my favorite prerennials .
sts14-s1tos2-3512
Generate text that is semantically similar to this text: go # obama . obama calls for broad action on guns
obama to ask congress to toughen gun laws
sts14-s2tos1-3512
Generate text that is semantically similar to this text: obama to ask congress to toughen gun laws
go # obama . obama calls for broad action on guns
sts14-s1tos2-3513
Generate text that is semantically similar to this text: is # pakistan becoming " # southasia 's # dreamliner " ? - official refuses order to arrest prime minister ashraf
pakistani official refuses order to arrest prime minister
sts14-s2tos1-3513
Generate text that is semantically similar to this text: pakistani official refuses order to arrest prime minister
is # pakistan becoming " # southasia 's # dreamliner " ? - official refuses order to arrest prime minister ashraf
sts14-s1tos2-3514
Generate text that is semantically similar to this text: google gains from creating apps for the # iphone # healthit # hcsm
google gains from creating apps for the opposition
sts14-s2tos1-3514
Generate text that is semantically similar to this text: google gains from creating apps for the opposition
google gains from creating apps for the # iphone # healthit # hcsm
sts14-s1tos2-3515
Generate text that is semantically similar to this text: i was definitely spending it on obscure sheet music and concert tickest . # misspentyouth
big city : new generation confronts unaffordable luxury of food
sts14-s2tos1-3515
Generate text that is semantically similar to this text: big city : new generation confronts unaffordable luxury of food
i was definitely spending it on obscure sheet music and concert tickest . # misspentyouth
sts14-s1tos2-3516
Generate text that is semantically similar to this text: a generation gap ? not on this web site ( harvard business school )
a 20-something ? s web site for women over 40
sts14-s2tos1-3516
Generate text that is semantically similar to this text: a 20-something ? s web site for women over 40
a generation gap ? not on this web site ( harvard business school )
sts14-s1tos2-3517
Generate text that is semantically similar to this text: eddie huang in the ny times. i vibe this dude so hard
eddie huang defies description
sts14-s2tos1-3517
Generate text that is semantically similar to this text: eddie huang defies description
eddie huang in the ny times. i vibe this dude so hard
sts14-s1tos2-3518
Generate text that is semantically similar to this text: rangel : more equal military ? bring back draft # deployment # usaf # military
a more equal military ? bring back draft
sts14-s2tos1-3518
Generate text that is semantically similar to this text: a more equal military ? bring back draft
rangel : more equal military ? bring back draft # deployment # usaf # military
sts14-s1tos2-3519
Generate text that is semantically similar to this text: france confronts mali jihadists
france vows to halt mali jihadists
sts14-s2tos1-3519
Generate text that is semantically similar to this text: france vows to halt mali jihadists
france confronts mali jihadists
sts14-s1tos2-3520
Generate text that is semantically similar to this text: the amount of organizations and clubs at # college is overwhelming ! choose carefully before dedicating your time :
the choice blog : lessons from a college student : finding your fit on campus
sts14-s2tos1-3520
Generate text that is semantically similar to this text: the choice blog : lessons from a college student : finding your fit on campus
the amount of organizations and clubs at # college is overwhelming ! choose carefully before dedicating your time :
sts14-s1tos2-3521
Generate text that is semantically similar to this text: lol .. errm .. " test " on the u.s. of a. ? # damn ! : north korea says new nuclear test will be part of fight against u.s. : ?
n. korea makes new threats against u.s .
sts14-s2tos1-3521
Generate text that is semantically similar to this text: n. korea makes new threats against u.s .
lol .. errm .. " test " on the u.s. of a. ? # damn ! : north korea says new nuclear test will be part of fight against u.s. : ?
sts14-s1tos2-3522
Generate text that is semantically similar to this text: # morsi ? s slurs against # jews stir concern does any one in # obama ' s administration know how to read # english ?
morsi ? s slurs against jews stir concern
sts14-s2tos1-3522
Generate text that is semantically similar to this text: morsi ? s slurs against jews stir concern
# morsi ? s slurs against # jews stir concern does any one in # obama ' s administration know how to read # english ?
sts14-s1tos2-3523
Generate text that is semantically similar to this text: " vine is twitter 's attempt to be the instagram of video , " form a nerdier sentence . don 't try ! its impossible !
vine is twitter 's attempt to become the ' instagram of video'
sts14-s2tos1-3523
Generate text that is semantically similar to this text: vine is twitter 's attempt to become the ' instagram of video'
" vine is twitter 's attempt to be the instagram of video , " form a nerdier sentence . don 't try ! its impossible !
sts14-s1tos2-3524
Generate text that is semantically similar to this text: mark sanford , the ex-governor of south carolina & " hiking the appalachian trail " , to run for congress
sanford , ex-governor of south carolina , to run for congress
sts14-s2tos1-3524
Generate text that is semantically similar to this text: sanford , ex-governor of south carolina , to run for congress
mark sanford , the ex-governor of south carolina & " hiking the appalachian trail " , to run for congress
sts14-s1tos2-3525
Generate text that is semantically similar to this text: where to go in 2013 by ! offers insightful explorations to most of these !
the 46 places to go in 2013
sts14-s2tos1-3525
Generate text that is semantically similar to this text: the 46 places to go in 2013
where to go in 2013 by ! offers insightful explorations to most of these !
sts14-s1tos2-3526
Generate text that is semantically similar to this text: peter is not in the top ten but mo , bertie and gus are ? : " the top baby names of 2013 "
parenting.com 's top baby names
sts14-s2tos1-3526
Generate text that is semantically similar to this text: parenting.com 's top baby names
peter is not in the top ten but mo , bertie and gus are ? : " the top baby names of 2013 "
sts14-s1tos2-3527
Generate text that is semantically similar to this text: nytimes : # queens # school is locked down after # gun is found in 7-year-old ? s backpack is there no end ?
gun found in 7-year-old ? s backpack at queens school
sts14-s2tos1-3527
Generate text that is semantically similar to this text: gun found in 7-year-old ? s backpack at queens school
nytimes : # queens # school is locked down after # gun is found in 7-year-old ? s backpack is there no end ?
sts14-s1tos2-3528
Generate text that is semantically similar to this text: what choo talkin ' bout mr. d ...... rip conrad bain , father on ? diff ? rent strokes ? , dies at 89
conrad bain , actor on ? diff ? rent strokes , ? dies at 89
sts14-s2tos1-3528
Generate text that is semantically similar to this text: conrad bain , actor on ? diff ? rent strokes , ? dies at 89
what choo talkin ' bout mr. d ...... rip conrad bain , father on ? diff ? rent strokes ? , dies at 89
sts14-s1tos2-3529
Generate text that is semantically similar to this text: facebook unveils new search tool :
bits blog : facebook unveils a new search tool
sts14-s2tos1-3529
Generate text that is semantically similar to this text: bits blog : facebook unveils a new search tool
facebook unveils new search tool :
sts14-s1tos2-3530
Generate text that is semantically similar to this text: # gunreform for a generation
editorial : president obama ? s plan for gun reform
sts14-s2tos1-3530
Generate text that is semantically similar to this text: editorial : president obama ? s plan for gun reform
# gunreform for a generation
sts14-s1tos2-3531
Generate text that is semantically similar to this text: is it me , or is the main ingredient in coke sugar ? in ads , coke confronts soda ? s link to obesity
coke tv ads confront obesity and soda ? s role
sts14-s2tos1-3531
Generate text that is semantically similar to this text: coke tv ads confront obesity and soda ? s role
is it me , or is the main ingredient in coke sugar ? in ads , coke confronts soda ? s link to obesity
sts14-s1tos2-3532
Generate text that is semantically similar to this text: excellent analysis of the housing market recovery - housing offers hope of strength in the economy
high & low finance : signs of a housing recovery point to a stronger economy
sts14-s2tos1-3532
Generate text that is semantically similar to this text: high & low finance : signs of a housing recovery point to a stronger economy
excellent analysis of the housing market recovery - housing offers hope of strength in the economy
sts14-s1tos2-3533
Generate text that is semantically similar to this text: williams starts fast , but pace suits rockets
williams starts strong , but nets don ? t follow in loss to rockets
sts14-s2tos1-3533
Generate text that is semantically similar to this text: williams starts strong , but nets don ? t follow in loss to rockets
williams starts fast , but pace suits rockets
sts14-s1tos2-3534
Generate text that is semantically similar to this text: quebra tudo ! ! ! j.j. abrams to direct next β€˜ star wars ’ movie
j.j. abrams to direct next ' star wars ' movie
sts14-s2tos1-3534
Generate text that is semantically similar to this text: j.j. abrams to direct next ' star wars ' movie
quebra tudo ! ! ! j.j. abrams to direct next β€˜ star wars ’ movie
sts14-s1tos2-3535
Generate text that is semantically similar to this text: wow : announcing plan to hire every veteran who wants a job - w a few conditions . they anticipate 100k + hires :
wal-mart to announce extensive plan to hire veterans
sts14-s2tos1-3535
Generate text that is semantically similar to this text: wal-mart to announce extensive plan to hire veterans
wow : announcing plan to hire every veteran who wants a job - w a few conditions . they anticipate 100k + hires :
sts14-s1tos2-3536
Generate text that is semantically similar to this text: in britain , basketball can be a tough sellwhy would brits get excited bout pro bb , they got " football " 2 keep them bored .
in britain , basketball is somewhat of a tough sell
sts14-s2tos1-3536
Generate text that is semantically similar to this text: in britain , basketball is somewhat of a tough sell
in britain , basketball can be a tough sellwhy would brits get excited bout pro bb , they got " football " 2 keep them bored .
sts14-s1tos2-3537
Generate text that is semantically similar to this text: at least 90 killed in brazil nightclub fire " kropp left that country in the nick of time .
hundreds killed in brazil nightclub fire
sts14-s2tos1-3537
Generate text that is semantically similar to this text: hundreds killed in brazil nightclub fire
at least 90 killed in brazil nightclub fire " kropp left that country in the nick of time .
sts14-s1tos2-3538
Generate text that is semantically similar to this text: dutch automat returning zing to dutch cooking
putting spice into dutch cooking
sts14-s2tos1-3538
Generate text that is semantically similar to this text: putting spice into dutch cooking
dutch automat returning zing to dutch cooking
sts14-s1tos2-3539
Generate text that is semantically similar to this text: man held after subway attack in philadelphia omg !
man held after woman thrown onto subway tracks in philadelphia
sts14-s2tos1-3539
Generate text that is semantically similar to this text: man held after woman thrown onto subway tracks in philadelphia
man held after subway attack in philadelphia omg !
sts14-s1tos2-3540
Generate text that is semantically similar to this text: who decides the laws of war ? it belongs in civilian courts .
news analysis : military tribunals and international war crimes
sts14-s2tos1-3540
Generate text that is semantically similar to this text: news analysis : military tribunals and international war crimes
who decides the laws of war ? it belongs in civilian courts .
sts14-s1tos2-3541
Generate text that is semantically similar to this text: former alaska gov sarah palin is no long a commentator for fox news
fox news and sarah palin part ways
sts14-s2tos1-3541
Generate text that is semantically similar to this text: fox news and sarah palin part ways
former alaska gov sarah palin is no long a commentator for fox news
sts14-s1tos2-3542
Generate text that is semantically similar to this text: new york lawmakers agreed on changes to gun laws ills
new york legislators hope for speedy vote on new gun laws
sts14-s2tos1-3542
Generate text that is semantically similar to this text: new york legislators hope for speedy vote on new gun laws
new york lawmakers agreed on changes to gun laws ills
sts14-s1tos2-3543
Generate text that is semantically similar to this text: lance armstrong [ finally ] admits doping , says he will testify
armstrong admits doping , and says he will testify against cycling officials
sts14-s2tos1-3543
Generate text that is semantically similar to this text: armstrong admits doping , and says he will testify against cycling officials
lance armstrong [ finally ] admits doping , says he will testify
sts14-s1tos2-3544
Generate text that is semantically similar to this text: hong kong takes the internet speed title with 54.1 mbps .
hong kong takes internet speed title
sts14-s2tos1-3544
Generate text that is semantically similar to this text: hong kong takes internet speed title
hong kong takes the internet speed title with 54.1 mbps .
sts14-s1tos2-3545
Generate text that is semantically similar to this text: where is justice ? ' they ran him over because he was black'
victim 's son : it was a hate crime
sts14-s2tos1-3545
Generate text that is semantically similar to this text: victim 's son : it was a hate crime
where is justice ? ' they ran him over because he was black'
sts14-s1tos2-3546
Generate text that is semantically similar to this text: reflects on doctors who take time off & then start seeing patients again .
doctor and patient : when the doctor returns to doctoring
sts14-s2tos1-3546
Generate text that is semantically similar to this text: doctor and patient : when the doctor returns to doctoring
reflects on doctors who take time off & then start seeing patients again .
sts14-s1tos2-3547
Generate text that is semantically similar to this text: sheen wants to return to ' 2.5 men ' but has his past image ruined that ? # coepr205
sheen wants to return to ' two and a half men'
sts14-s2tos1-3547
Generate text that is semantically similar to this text: sheen wants to return to ' two and a half men'
sheen wants to return to ' 2.5 men ' but has his past image ruined that ? # coepr205
sts14-s1tos2-3548
Generate text that is semantically similar to this text: good read : challenges for women in india :
challenges of being woman in india
sts14-s2tos1-3548
Generate text that is semantically similar to this text: challenges of being woman in india
good read : challenges for women in india :
sts14-s1tos2-3549
Generate text that is semantically similar to this text: nytimes : richard g. stern , writers ? writer , dies at 84 big loss
richard g. stern , a writers ? writer , is dead at 84
sts14-s2tos1-3549
Generate text that is semantically similar to this text: richard g. stern , a writers ? writer , is dead at 84
nytimes : richard g. stern , writers ? writer , dies at 84 big loss
sts14-s1tos2-3550
Generate text that is semantically similar to this text: fantastic read from on imprtnce of narratives : " ... stories , not algorithms , give order to our hectic world . "
opinion : tv , the thinking person ? s entertainment of choice
sts14-s2tos1-3550
Generate text that is semantically similar to this text: opinion : tv , the thinking person ? s entertainment of choice
fantastic read from on imprtnce of narratives : " ... stories , not algorithms , give order to our hectic world . "
sts14-s1tos2-3551
Generate text that is semantically similar to this text: " 2012 : the year of extreme # weather " : # climatechange # drought # nationalclimateassessment # globalchangeresearch
iht rendezvous : 2012 : the year of extreme weather
sts14-s2tos1-3551
Generate text that is semantically similar to this text: iht rendezvous : 2012 : the year of extreme weather
" 2012 : the year of extreme # weather " : # climatechange # drought # nationalclimateassessment # globalchangeresearch
sts14-s1tos2-3552
Generate text that is semantically similar to this text: la vision am ? ricaine sur m.kaspersky est peu flatteuse security firm discovers cyber-spy campaign
bits blog : security firm discovers global spy campaign
sts14-s2tos1-3552
Generate text that is semantically similar to this text: bits blog : security firm discovers global spy campaign
la vision am ? ricaine sur m.kaspersky est peu flatteuse security firm discovers cyber-spy campaign
sts14-s1tos2-3553
Generate text that is semantically similar to this text: sweet , sweet story . nytimes : a doll ? s magic , free to renew
a doll 's magic , free to renew
sts14-s2tos1-3553
Generate text that is semantically similar to this text: a doll 's magic , free to renew
sweet , sweet story . nytimes : a doll ? s magic , free to renew
sts14-s1tos2-3554
Generate text that is semantically similar to this text: a new housing boom ? don ’ t count on it - by robert j. shiller -
a new housing boom ? don ? t count on it
sts14-s2tos1-3554
Generate text that is semantically similar to this text: a new housing boom ? don ? t count on it
a new housing boom ? don ’ t count on it - by robert j. shiller -