I'm hoping to use the URLGetRelations API to help identify sentences in text that are future tense. However, I’ve seen inaccuracies in sentences the API is identifying as future tense. Examples below, all identified as "future" but these are arguably incorrect. I see in the API responses below that there are some garbled words (e.g. "revivehim" from the first article), maybe this is causing the mislabeling? If you look at the URLs I've directed the APIs to, though, the distortions are not present in the original source text.
One from: http://www.reuters.com/article/new-york-police-idUSL2N15R02C
{ "sentence": " \"Oh my God,someone's hit,\" a tearful Liang recalled saying upon finding a bleedingGurley lying on a landing, as his girlfriend frantically tried to revivehim.", "subject": { "text": "his girlfriend"}, "action": { "text": "tried to revive","lemmatized": "try to revive", "verb": {"text": "revive", "tense": "future" } },"object": { "text": "him","sentimentFromSubject": { "type": "negative","score": "-0.70197" } } },
Two from: http://www.cnn.com/2016/02/11/us/nypd-officer-trial/
{ "sentence": " On Thursdayevening, about an hour before the verdict, the jury asked Justice Danny Chun toread them the charges and legal definitions, the second time this week.","subject": { "text": "Justice Danny Chun" },"action": { "text": "to read","lemmatized": "to read", "verb": {"text": "read", "tense": "future" } },"object": { "text": "the charges and legaldefinitions", "sentiment": { "type":"negative", "score": "-0.597878" } } },