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Types of RevisionsExamples
Recasting fact as hoped forThe world of Atlantis,hidden beneath the earth's core,is fantastic The world of Atlantis,hidden beneath the earth's core is supposed to be fantastic
Suggesting sarcasmthoroughly captivating thriller-drama, taking a deep and real- istic view thoroughly mind numbing “thriller-drama", taking a “deep"
Inserting modifiersand “realistic”(who are they kidding?) view The presentation of simply Atlantis' landscape and setting
Replacing modifiersThe presentation of Atlantis’ predictable landscape and setting “Election” is a highly fascinating and thoroughly captivating thriller-drama
Inserting phrases“Election” is a highly expected and thoroughly mind numbing "thriller-drama" Although there's hardly any action, the ending is still shocking. Although there's hardly any action (or reason to continue watch-
Diminishing via qualifiersing past 10 minutes), the ending is still shocking. which,while usually containing some reminder of harshness,be- come more and more intriguing.
Differing perspectiveswhich,usually containing some reminder of harshness,became only slightly more intriguing. Granted, not all of the story makes full sense, but the film doesn't feature any amazing new computer-generated visual effects.
Changing ratingsGranted, some of the story makes sense, but the film doesn't feature any amazing new computer-generated visual effects. one of the worst ever scenes in a sports movie. 3 stars out of 10. one of the wildest ever scenes in a sports movie. 8 stars out of 10.
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"category_id": 13, + "poly": [ + 1073, + 1522, + 1144, + 1522, + 1144, + 1552, + 1073, + 1552 + ], + "score": 0.89, + "latex": "\\approx 9 \\%" + }, + { + "category_id": 13, + "poly": [ + 393, + 1752, + 460, + 1752, + 460, + 1781, + 393, + 1781 + ], + "score": 0.87, + "latex": "\\$ 0.65" + }, + { + "category_id": 13, + "poly": [ + 654, + 1751, + 721, + 1751, + 721, + 1781, + 654, + 1781 + ], + "score": 0.85, + "latex": "\\$ 0.15" + }, + { + "category_id": 13, + "poly": [ + 1005, + 1751, + 1127, + 1751, + 1127, + 1782, + 1005, + 1782 + ], + "score": 0.85, + "latex": "\\$ 10778.14" + }, + { + "category_id": 15, + "poly": [ + 293.0, + 220.0, + 1402.0, + 220.0, + 1402.0, + 262.0, + 293.0, + 262.0 + ], + "score": 1.0, + "text": "" + }, + { + "category_id": 15, + "poly": [ + 293.0, + 252.0, + 1002.0, + 252.0, + 1002.0, + 291.0, + 293.0, + 291.0 + ], + "score": 1.0, + "text": "" + }, + { + "category_id": 15, + "poly": [ + 296.0, + 73.0, + 817.0, + 73.0, + 817.0, + 108.0, + 296.0, + 108.0 + ], 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Types of RevisionsExamples
Modifying/removing actionsP: A young dark-haired woman crouches on the banks of a river while washing dishes. OH: A woman washes dishes in the river while camping. (Neu- tral)
Substituting entitiesNH:A woman washes dishes in the river.(Entailment) P:Students are inside of a lecture hall. OH: Students are indoors. (Entailment)
Adding details to entitiesNH: Students are on the soccer field. (Contradiction) P:An older man with glasses raises his eyebrows in surprise. OH: The man has no glasses. (Contradiction)
Inserting relationshipsNH: The man wears bifocals. (Neutral) P:A blond woman speaking to a brunette woman with her arms crossed. OH:A woman is talking to another woman. (Entailment)
Numerical modificationsNH: A woman is talking to a family member. (Neutral) P: Several farmers bent over working on the fields while lady with a baby and four other children accompany them. OH:The lady has three children.(Contradiction)
Using/Removing negationNH: The lady has many children. (Entailment) P:An older man with glasses raises his eyebrows in surprise. OH: The man has no glasses. (Contradiction)
Unrelated hypothesisNH: The man wears glasses. (Entailment) P:A female athlete in crimson top and dark blue shorts is run- ning on the street. OH: A woman is sitting on a white couch. (Contradiction)
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Types of RevisionsExamples
Introducing direct evidenceOP: Man walking with tall buildings with reflections behind him. (Neutral) NP: Man walking away from his friend, with tall buildings
Introducing indirect evidencewith reflections behind him. (Contradiction) H: The man was walking to meet a friend. OP:An Indian man standing on the bank of a river. (Neutral) NP: An Indian man standing with only a camera on the bank of a river. (Contradiction)
Substituting entitiesH: He is fishing. OP:A young man in front of a grill laughs while pointing at something to his left. (Entailment) NP: A young man in front of a chair laughs while pointing at
Numerical modificationssomething to his left. (Neutral) H:A man is outside OP:The exhaustion in the woman's face while she continues to ride her bicycle in the competition.(Neutral) NP: The exhaustion in the woman's face while she continues to ride her bicycle in the competition for people above 7 ft.
Reducing evidence(Entailment) H: A tall person on a bike OP: The girl in yellow shorts and white jacket has a tennis ball in her left pocket. (Entailment) NP: The girl in yellow shorts and white jacket has a tennis ball.
Using abstractions(Neutral) H: A girl with a tennis ball in her pocket. OP: An elderly woman in a crowd pushing a wheelchair. (En- tailment)
Substituting evidenceNP: An elderly person in a crowd pushing a wheelchair. (Neu- tral) H: There is an elderly woman in a crowd. OP: A woman is cutting something with scissors. (Entail- ment) NP: A woman is reading something about scissors. (Contra- diction)
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Train/EvalOriginalRPRHRP&RH
Original (1.67k)72.239.759.549.6
Revised Premise (RP; 3.3k)50.666.350.158.2
Revised Hypothesis (RH; 3.3k)71.947.467.057.2
RP & RH(6.6k)64.764.667.866.2
Original w/RP & RH(8.3k)73.564.669.667.1
Original (8.3k)77.844.666.155.4
Original (500k)90.454.374.364.3
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Training dataSVMNBELMoBi-LSTMBERT
0R0R0R0R0R
Orig. (1.7k)80.051.074.947.381.966.779.355.787.482.2
Rev. (1.7k)58.391.250.988.763.882.062.589.180.490.8
Orig. -Edited57.8159.1150.3160.2149.21
Orig. & Rev. (3.4k)83.787.386.191.285.092.081.592.088.595.1
Orig. (3.4k)85.154.382.448.282.461.180.459.690.286.1
Orig. (19k)87.860.984.342.886.564.386.368.093.288.3
Orig. (19k)& Rev.87.876.285.248.488.384.688.779.593.293.9
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Training dataSVMNBELMoBi-LSTMBERT
Accuracy on Amazon Reviews
Orig. & Rev. (3.4k)77.182.678.482.785.1
Orig. (3.4k)74.766.979.165.980.0
Accuracy on Semeval 2017 (Twitter)
Orig. & Rev. (3.4k)66.573.970.068.782.9
Orig. (3.4k)61.264.669.555.379.3
Accuracy on Yelp Reviews
Orig. & Rev. (3.4k)87.689.687.286.289.4
Orig. (3.4k)81.877.582.078.085.3
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Train/TestOriginalRPRHRP&RH
Majority class34.734.634.634.6
RP & RH(6.6k)32.435.133.434.2
Original w/RP & RH (8.3k)44.025.843.234.5
Original (8.3k)60.220.546.633.6
Original (500k)69.015.453.234.3
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SVM67.446.651.0
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RevisionRemoved wordsInserted words
Positive to Negativemovie,film,great, like,good,re- ally, would, see,story, lovemovie, film, one, like,bad,would, really,even,story, see
Negative to Positivebad,even,worst, waste,nothing, never,much,would, like, litlegreat, good,best, even, well, amaz- ing,much,many,watch,better
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Revision Removed wordsInserted words
Revising Premise
Entailment to Neutralwoman,walking,man,blue, sitting, men, girl, standing, looking,runningperson, near, child, something, together, people, tall, vehicle, wall, holding
Neutral to Entailmentman,street,black,water, little, front,young,playing,woman, twowaiting,couple,playing,run- ning, getting,making, tall, game, black,happily
Entailment to Contradictionblue,people,standing,girl, front,street,red,young,sit- ting,bandsitting, standing, inside, young, women, child, red, men, sits,one
Contradiction to Entailmentsitting,man,walking,black, blue,people,red,standing, white,streetman,sitting, sleeping,woman, sits,eating,playing,park, two, standing
Neutral to Contradictionman, woman, people,boy, black,red,standing,young, two,waterman,woman, boy, men, alone, sitting,girl,dog,three,one
Contradiction to Neutralman, sitting,black,blue,walk-1 ing,red,standing, street, white,streetman, sitting, woman, peo- ple,person, near, something, something,sits,black
Revising Hypothesis
Entailment to Neutralman, wearing, white, blue, black,shirt,one,young,peo- ple,womanpeople,there,playing,man, person,wearing,outside,two, old, near
Neutral to Entailmentwhite,wearing,shirt,black, blue, man, two, standing, young, redplaying,wearing,man, two, there,woman,people,men, near,person
Entailment to Contradictionman, wearing, white, blue, black,two,shirt,one,young, peoplepeople,man, woman, playing, no,inside,person, two,wear- ing,women
Contradiction to Entailmentwearing, blue, black, man, white,two,red,shirt,young, onepeople, there,man, two,wear- ing, playing, people,men, woman, outside
Neutral to Contradictionwhite, man, wearing, shirt, black,blue,two,standing, woman, redwoman,man,there,playing, two,wearing, one,men,girl, no
Contradiction to Neutralwearing,blue,black,man, white, two,red, sitting,young, standingpeople,playing,man,woman, two,wearing,near, tall,men, old
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