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Chart Summarization: Explanation and Examples - MathCo Technically, this task of information extraction from charts can be defined as producing a descriptive summary from non-linguistic structured data (in the form of tables), which falls under the umbrella of Natural Language Generation (NLG)
Tailored Real-Time Call Summarization System for . . . - Medium In this work, we’ve come up with a hybrid solution that boosts the note-generation capabilities of contact-center-specific LLM and customizes it for the domain-specific needs of contact center
Extractive Summarization of Call Transcripts - arXiv. org In this paper, we have presented a novel extractive summarization technique that combines channel separation (separation into customer and agent transcripts), topic modeling, sentence selection with punctuation restoration to produce properly punctuated, fixed-length and readable customer and agent summaries from the original call transcripts, t
A survey of text summarization: Techniques, evaluation and . . . Natural Language Processing (NLP) techniques, a subset of AI, play a pivotal role in refining linguistic comprehension within summarization systems Future trends suggest that AI-driven summarization models will increasingly excel in understanding idiomatic expressions, cultural nuances, and complex sentence structures
Extractive Summarization of Call Transcripts - IEEE Xplore Extensive testing, evaluation and comparisons, with an open-source, state-of-the-art extractive summarizer using three different pre-trained language models, have demonstrated the efficacy of this summarizer for call transcript summarization
Graph Neural Networks in Natural Language Processing We summarize recent research works on graph-based NLP, and discuss two case studies related to graph-based text clustering, matching, and multi- hop machine reading comprehension indetail
A survey of graphs in natural language processing* | Natural . . . We provide an overview of how Natural Language Processing problems have been projected into the graph framework, focusing in particular on graph construction – a crucial step in modeling the data to emphasize the phenomena targeted Graphs are ubiquitous in Natural Language Processing (NLP)