Papers with Switchboard corpus
Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech (N19-3)
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| Challenge: | a study aims to understand the role of disfluencies in speech production . speakers tend to lessen cognitive load for upcoming difficulties . |
| Approach: | They examine the role of three influential theories of language processing in predicting disfluencies in speech production. |
| Outcome: | The proposed classifiers predict disfluencies in English conversational speech . the classifier features lexical surprisal, word duration and DLT integration costs . |
Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection (2020.emnlp-main)
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| Challenge: | Existing approaches to disfluency detection heavily depend on labeled data. |
| Approach: | They propose a Planner-Generator based disfluency generation model that generates natural disfluent texts as augmented data. |
| Outcome: | The proposed model outperforms baselines and leads to state-of-the-art performance on Switchboard corpus. |
Annotation of Communicative Functions of Short Feedback Tokens in Switchboard (2022.lrec-1)
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| Challenge: | lexical forms and prosodic characteristics of short feedback tokens are not indicative of their communicative function. |
| Approach: | They propose to annotate short feedback tokens with a lexical annotation scheme . they find that feedback functions have distinguishable prosodic characteristics . |
| Outcome: | The proposed annotations show that lexical forms alone are not indicative of the communicative function. |
Topic Spotting using Hierarchical Networks with Self Attention (N19-1)
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| Challenge: | Existing systems struggle to have consistent long term conversations with the users and fail to build rapport. |
| Approach: | They propose a hierarchical model with self attention for topic spotting . they compare it to previous proposed techniques for topic detection . |
| Outcome: | The proposed model outperforms existing models for topic spotting and deep models for text classification in an online setting. |
Variation in Coreference Strategies across Genres and Production Media (2020.coling-main)
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| Challenge: | a lack of work on automatic coreference resolution on spoken and written language has led to inconclusive results. |
| Approach: | They propose to use Ontonotes, Switchboard and Twitter to investigate coreference . they find fairly clear patterns of "behavior" for the different genres/medias . |
| Outcome: | The results show that the choice of genre and the medium (spoken versus spoken) relates to the spokenwritten spectrum for coreference strategies. |