Timeline for Classification when the classification of the previous itens matter
Current License: CC BY-SA 4.0
23 events
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S Nov 17, 2021 at 19:04 | history | bounty ended | CommunityBot | ||
S Nov 17, 2021 at 19:04 | history | notice removed | CommunityBot | ||
Nov 14, 2021 at 12:14 | answer | added | Archana David | timeline score: 0 | |
Nov 12, 2021 at 21:34 | answer | added | keiv.fly | timeline score: 0 | |
Nov 10, 2021 at 15:36 | comment | added | Erwan | @bratao as far as I know this is exactly what sequence labeling does. You could also look into methods used for event detection, it looks similar. | |
Nov 10, 2021 at 14:13 | comment | added | bratao | @Erwan and Eulenfuchswiesel this is just a example. I want to be able to model a classifier that takes the previous classification in consideration using something like a CRF or Beam Search. It must have something in the literature about it, but I can´t find | |
Nov 10, 2021 at 14:11 | history | edited | bratao | CC BY-SA 4.0 |
deleted 2 characters in body
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Nov 10, 2021 at 8:48 | comment | added | Eulenfuchswiesel | I guess the pronouns are the problem. "Her" can refer to the boss or the girl. If the pronoun got replaced, the problem would be a lot easier. So maybe as a start, replace all pronouns by whatever noun preceeded, then try the prediction again. | |
Nov 9, 2021 at 23:14 | comment | added | Erwan | At first sight sequence labelling seems a good idea to me. What is strange in your data is that apparently all the conversations are mixed? Normally I would expect the first two to be part of one conversation and the last two to belong to another. | |
S Nov 9, 2021 at 17:12 | history | bounty started | bratao | ||
S Nov 9, 2021 at 17:12 | history | notice added | bratao | Draw attention | |
Nov 7, 2021 at 13:54 | answer | added | Brian Spiering | timeline score: 0 | |
S Nov 6, 2021 at 19:44 | review | First questions | |||
Nov 7, 2021 at 8:05 | |||||
S Nov 6, 2021 at 19:44 | history | asked | bratao | CC BY-SA 4.0 |