Why is summarizing so difficult in NLP?
Summarization is a difficult task for natural language processing due to the complexity of understanding the complete meaning of the source text. Long document summarization is even harder due to computational complexity, limited access to training data, and challenges with evaluating performance. To get started with NLP summarization, I recommend finding a good pre-trained NLP model (bigger is better), fine tuning the model on a small set of high quality reference summaries, and removing extraneous data ahead of time to reduce computational complexity and potential errors.
Why is summarizing so difficult in NLP? Summarization is a difficult task for natural language processing due to the complexity of understanding the complete meaning of the source text. Long document summarization is even harder due to computational complexity, limited access to training data, and challenges with evaluating performance. To get started with NLP summarization, I recommend finding a good pre-trained NLP model (bigger is better), fine tuning the model on a small set of high quality reference summaries, and removing extraneous data ahead of time to reduce computational complexity and potential errors. nlp
summarizing difficult NLP Summarization difficult task natural language processing due complexity understanding complete meaning source text Long document summarization even harder due computational complexity limited access training data challenge evaluating performance get started NLP summarization recommend finding good pretrained NLP model bigger better fine tuning model small set high quality reference summary removing extraneous data ahead time reduce computational complexity potential error nlp