input: Text: Grad H: st Grad F: So we're on. Grad H: Yeah. That's better. Grad F: And, <unk>comment<unk> somewhere is my agenda. I think the most important thing is Morgan wanted to talk about, uh, the ARPA <unk>pause<unk> demo. Professor D: Well, so, here's the thing. Um, why don't we s again start off with <unk>disfmarker<unk> with, uh, Yeah, I 'll get it. I 'll get the door. Um, I think we want to start off with the agenda. And then, given that, uh, Liz and Andreas are gonna be <unk>pause<unk> ten, fifteen minutes late, we can try to figure out what we can do most effectively without them here. So <unk>disfmarker<unk> <unk>vocalsound<unk> So <unk>disfmarker<unk> so, one thing is, yeah, talk about demo, Grad F: OK. So, uh <unk>disfmarker<unk> uh, IBM transcription status, Professor D: IBM transcription. Uh, what else? Grad F: Professor D: What's SmartKom? SmartKom? Grad F: Uh, we wanna talk about if w if we wanna add the data to the mar Meeting Recorder corpus. PhD E: The data. The data which we are collecting here. Professor D: What <unk>disfmarker<unk> what <unk>disfmarker<unk> what are we collecting here? PhD E: Data? Grad F: So why don't we have that on the agenda and we 'll <unk>disfmarker<unk> we 'll get to it and talk about it? PhD E: The SmartKom data? Professor D: Yeah, right. PhD E: Yeah. Professor D: Uh, right. Uh. Grad F: Uh, reorganization status
  Question: Summarize discussion on what to include in the meeting corpus and how to structure it
  Answer:
output: The discussion centered on the extent to which the recordings should be segmented for the corpus and which recordings should be included in the corpus. The team expressed that it would be helpful to filter out breath and non-verbal sounds. It also expressed that for two person conversations and transcripts that do not follow their general meeting setup, it could create a different directory.