Authors:
(1) Dominic Petrak, UKP Lab, Department of Computer Science, Technical University of Darmstadt, Germany;
(2) Nafise Sadat Moosavi, Department of Computer Science, The University of Sheffield, United Kingdom;
(3) Ye Tian, Wluper, London, United Kingdom;
(4) Nikolai Rozanov, Wluper, London, United Kingdom;
(5) Iryna Gurevych, UKP Lab, Department of Computer Science, Technical University of Darmstadt, Germany.
Table of Links
Manual Error Type Analysis and Taxonomies
Automatic Filtering for Potentially Relevant Dialogs
Conclusion, Limitation, Acknowledgments, and References
A Integrated Error Taxonomy – Details
B Error-Indicating Sentences And Phrases
C Automatic Filtering – Implementation
D Automatic Filtering – Sentence-Level Analysis
E Task-Oriented Dialogs – Examples
F Effectiveness Of Automatic Filtering – A Detailed Analysis
G Inter-Annotator Agreement – Detailed Analysis
I Hyperparameters and Baseline Experiments
J Human-Human Dialogs – Examples
B Error-Indicating Sentences And Phrases
In this section, we present the collected error indicating sentences along with phrases.
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Not really like fandoms, haha Just anything online that people make. (Phrase: not really like)
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It is not saturday. (Phrase: it is not)
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That doesn’t make sense. (Phrase: doesn’t make sense)
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That makes no sense. (Phrase: makes no sense)
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You should put some more things together." (Phrase: you should)
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You shouldn’t be! (Phrase: you shouldn’t)
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What do you mean by that?" (Phrase: what do you mean)
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What are you talking about? (Phrase: what are you talking about)
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It’s so important for young people to have diverse interest and develop a wide range of skills, don’t you think? (Phrase: don’t you think)
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I don’t know what you’re talking about. (Phrase: don’t know)
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What does that have to do with computer games? (Phrase: what does that have to do with)
12. Sorry I meant to say for the cat litter. (Phrase: sorry i meant to say)
13. That didn’t have anything to do with school. (Phrase: didn’t have anything to do with)
14. You do not make sense with your response. (Phrase: your response)
15. That’s not what I asked you. (Phrase: not what i asked)
16. I dont understand. (Phrase: don’t understand)
17. How do you mean? (Phrase: how do you mean)
18. I don’t care about price. (Phrase: i don’t care)
19. You’re not answering the questions. (Phrase: you’re not answering)
20. Like I said before I’m not one to read an actual newspaper but I do like reading opinion and political articles. (Phrase: like i said before)
21. You’re not very helpful Help Desk. (Phrase: not very helpful)
22. Are you sure that there are no hotels on the west side of town? (Phrase: are you sure)
23. I didn’t say anything was scary. (Phrase: i didn’t say)
24. I wouldn’t know this. (Phrase: i wouldn’t know this)
25. That sounds too low. (Phrase: too low)
26. I’m great, but thats off topic. (Phrase: that’s off topic)
27. No, I think when people shape their beards in different ways is really interesting as well! (Phrase: no, I think)
28. Your doing it wrong my friend. (Phrase: you’re doing it wrong)
29. What are you saying? (Phrase: what are you saying)
30. At least you have that then. (Phrase: at least you have)
31. That doesn’t answer my question. (Phrase: that doesn’t answer)
32. I am too old to hike I am in my seventies. (Phrase: i am too old)
33. You aren’t staying on topic at all. (Phrase: not staying on topic)
34. Off the subject, I am thinking of cutting my hair. (Phrase: off the subject)
35. I’m not ready to book just yet. (Phrase: i’m not ready)
36. That’s not what I asked you. (Phrase: i asked you)
37. Dude not cool. (Phrase: dude not cool)
38. I’d really like a 4 star. (Phrase: i’d really like)
39. Thats nonsense." (Phrase: thats nonsense)
40. Actually, I apologize no need to book, I was just gathering information." (Phrase: i apologize)
41. I never said I needed one. (Phrase: i never said i)
42. No I dont think so. (Phrase: no i dont think)
43. I didn’t mention anything about clowns. (Phrase: i didn’t mention)
44. That is odd for alaska. (Phrase: that is odd)
45. Not sure what that means? (Phrase: not sure what that means)
46. It can be what? (Phrase: it can be what)
47. You should learn! (Phrase: you should learn)
48. Umm, what? (Phrase: umm, what)
49. You think so? (Phrase: you think so)
50. No a park is a place and not a person, (Phrase: and not)
51. Why do you say that? (Phrase: why do you say that)
52. I guess I should have asked that first. (Phrase: i should have asked)
53. I said lets talk about sports. (Phrase: i said lets talk about)
54. You’re being annoying is whats happening. (Phrase: you’re being annoying)
55. You could have stated the goods. (Phrase: you could have stated)
56. Who was talking about color? (Phrase: who was talking about)
57. That doesn’t really matter. (Phrase: doesn’t really matter)
58. It’s actually a 1939 movie that was adapted from a novel written earlier. (Phrase: it’s actually)
59. I don’t believe a piano is a stringed instrument. (Phrase: i don’t believe)
60. That’s not relevant. (Phrase: that’s not relevant)
61. Check again. (Phrase: check again)
62. You’re wrong. (Phrase: you’re wrong)
63. That doesn’t have to do with track. (Phrase: that doesn’t have to do with)
64. Instead could it be in Madrid? (Phrase: instead could it)
65. I would prefer in Bombay. (Phrase: i would prefer)
66. No, I don’t like that. (Phrase: i don’t like that)
67. No, this does not work for me. (Phrase: this does not work)
This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license.