input: Text: Grad A: Why? Grad D: Um. Grad E: I'm known. I <unk>disfmarker<unk> Grad A: No, cuz she already told me it, before she told you. Grad E: No, she told me a long time ago. She told me <unk>disfmarker<unk> she told me like two weeks ago. Grad A: Oh, well, it doesn't matter what time. Grad B: OK. You know how to toggle the display width <unk>pause<unk> function <unk>disfmarker<unk> Grad A: Well maybe she hadn't just started transcribing me yet. Grad D: Wow. Grad A: Anyway. Grad D: What is it? Grad E: Let me explain something to you. Grad D: Um, Grad E: My laugh is better than yours. Grad D: there. Grad A: I beg to differ. Grad B: Yo. Grad D: Um, OK. Grad A: But you have to say something genuinely funny before you 'll get an example. Grad E: Yeah. Grad D: The thing is I don't know how to get to the next page. Here. Grad E: No. You should be <unk>disfmarker<unk> at least be self - satisfied enough to laugh at your own jokes. Grad D: Actually I thought <unk>disfmarker<unk> Grad A: No, it's a different laugh. Grad D: There. Grad A: Ooh, wow! Grad D: How weird. Grad E: Oh! Holy mackerel. Grad A: Wow. Whoa! Grad D: What?! Oh. OK. I wasn't even doing anything. <unk>vocalsound<unk> OK. Grad A: Uh. Grad E: Eva's got a laptop, she's trying to show it off. Grad D: That was r actually Robert's idea. But anyhow. Um Professor F: O K. So, here we are. Grad E: Once
  Question: Summarize this segmen
  Answer:
output: An alternative representation of the Bayes-net, it depicts context features as classes, and dependencies as relations between them. The current outputs show the desirability of a site, as well as its EVA mode. The fact that this model allows for instantiations of classes fits the research purposes much better than the extended belief-net.