In a typical customer service chat scenario, customers contact a support center to ask for help or raise complaints, and human agents try to solve the issues. In most cases, at the end of the conversation, agents are asked to write a short summary em
phasizing the problem and the proposed solution, usually for the benefit of other agents that may have to deal with the same customer or issue. The goal of the present article is advancing the automation of this task. We introduce the first large scale, high quality, customer care dialog summarization dataset with close to 6500 human annotated summaries. The data is based on real-world customer support dialogs and includes both extractive and abstractive summaries. We also introduce a new unsupervised, extractive summarization method specific to dialogs.
Van Tijm and Victor Gremonsky, in their comparative monetary work, have
established two closely related, largely divergent approaches and research methods. The
first to follow the approach of EvelFeilmann to look at international literary relations
is a
certain historical causation (historical theory). And the second approach to the theory of
typology, influenced by the writings of A. Vesilowski monetary, influenced by German
philosophers, starting in the second half of the eighteenth century. The term similarities
and differences between literatures is presented as a result of similarity or difference in the
movement of the development of societies and their conditions.
However, their divergence in principle did not override their agreement on some
partial issues and their divergence in other matters. This is what the research will try to
look at, using extrapolation as a means to elucidate judgments, which were ignored by
scholars and interested parties, in the hope of giving each person the right, both impartially
and objectively, to adopt their texts.
