Abstract
In response to (i) inconclusive results in the literature as to the properties of coreference chains in written versus spoken language, and (ii) a general lack of work on automatic coreference resolution on both spoken language and social media, we undertake a corpus study involving the various genre sections of Ontonotes, the Switchboard corpus, and a corpus of Twitter conversations. Using a set of measures that previously have been applied individually to different data sets, we find fairly clear patterns of “behavior” for the different genres/media. Besides their role for psycholinguistic investigation (why do we employ different coreference strategies when we write or speak) and for the placement of Twitter in the spoken–written continuum, we see our results as a contribution to approaching genre-/media-specific coreference resolution.
Highlights
Research on strategies for producing referring expressions has often investigated the differences between spoken and written language, but as we will show in Section 2, results have been inconclusive
We presented a quantitative study on different genre sections of the OntoNotes corpus (Aktaset al., 2019)
We extend that study in two directions: We augment the rather small proportion of spoken data in OntoNotes with the Switchboard corpus (Godfrey et al, 1992), and we introduce new quantitative features for the comparative analysis
Summary
Research on strategies for producing referring expressions has often investigated the differences (if any) between spoken and written language, but as we will show in Section 2, results have been inconclusive. Research on strategies for producing referring expressions has often investigated the differences (if any) between spoken and written language, but as we will show, results have been inconclusive. The data that has been used can vary considerably, and it is not always clear how studies can be compared. Our primary goal here is to shed light on coreference with respect to the spoken/written distinction, by undertaking a careful comparative corpus analysis and explicitly stating our methods of measurement. We presented a quantitative study on different genre sections of the OntoNotes corpus (Aktaset al., 2019). We extend that study in two directions: We augment the rather small proportion of spoken data in OntoNotes with the Switchboard corpus (Godfrey et al, 1992), and we introduce new quantitative features for the comparative analysis
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
