In contrast, we consider complex multi-turn interactions within dialogues and explore context clue matching between customer utterances and server utterances for multi-tasking in the SSA task.
we improve the basic MIL models by proposing a position-guided automatic context clue matching mechanism (CCMM) to conduct customer utterance and context clues alignments for better sentiment classification to boost satisfaction classification.