Spoken Conversational Search for General Knowledge
Table 1: Subset of the corpus CALOR used for training, developing and testing of the coreference resolution module. Note that the values given for the mentions include pronouns.
['[EMPTY]', 'Train', 'Dev', 'Test']
Context Manager The Context Manager component is able to solve coreferences by using an adaptation of the end-to-end model presented in Lee et al. et al. The data used to train the coreference resolution model is a subset of the corpus CALOR Marzinotto et al. This corpus contains coreference chains of named entities, nouns and pronouns (such as “the president” – “JFK” – “he” – “his”). The same model reached a average F-1 of 68.8% for English Lee et al. Comparable measurements are not available for French. F-1 scores for French are believed to be lower because of the lower amount of annotated data.