I'm trying to train FastText for performing Information Extraction (which is considered as a text classification problem) on a big corpus where the positive examples (speakers) are not organized one per line, like the paragrapgh below.
Can FastText perform the classification based on this kind of input?
"The Student Alumni Relations Council (SARC) invites you to a Career Talk featuring labelspeaker Andrew Gault HS'80 HNZ'94 and three university speakers, labelspeaker Mary Francis McLaughlin (volunteer and community service opportunities), labelspeaker Jessie Ramey (research opportunities) and labelspeaker Judi Mancuso (part-time work-study summer and internship opportunities) on Tuesday January 31 at 7:00 P M in the Carnegie Conference Room 1st Floor Warner Hall."
xiamx
commented
5 years ago
I'm trying to train FastText for performing Information Extraction (which is considered as a text classification problem) on a big corpus where the positive examples (speakers) are not organized one per line, like the paragrapgh below. Can FastText perform the classification based on this kind of input?
"The Student Alumni Relations Council (SARC) invites you to a Career Talk featuring labelspeaker Andrew Gault HS'80 HNZ'94 and three university speakers, labelspeaker Mary Francis McLaughlin (volunteer and community service opportunities), labelspeaker Jessie Ramey (research opportunities) and labelspeaker Judi Mancuso (part-time work-study summer and internship opportunities) on Tuesday January 31 at 7:00 P M in the Carnegie Conference Room 1st Floor Warner Hall."