SUMMARIZING PREVALENT OPINIONS FOR MEDICAL DECISION-MAKING
Methods and systems for document summarization include splitting documents into sentences and sorting the sentences by a metric that promotes review opinion prevalence from the documents to generate a ranked list of sentences. Groups of sentences with similar embeddings are formed and a trained generalization encoder-decoder model is applied to output a common generalization of the sentences in each group. Sentences are added to a summary from the generalizations corresponding to the sentences in the ranked list, in rank-order, until a target summary length has been reached. An action is performed responsive to the summary.
1 . A computer-implemented method for document summarization, comprising:
splitting documents into sentences;
sorting the sentences by a metric that promotes review opinion prevalence from the documents to generate a ranked list of sentences;
forming groups of sentences with similar embeddings and applying a trained generalization encoder-decoder model to output a common generalization of the sentences in each group;
adding sentences to a summary from generalizations corresponding to the sentences in the ranked list, in rank-order, until a target summary length has been reached; and
performing an action responsive to the summary.
2 . The method of claim 1 , further comprising simplifying the sentences before sorting.
3 . The method of claim 1 , further comprising filtering trivial conclusions from the sentences before sorting.
4 . The method of claim 1 , wherein sorting the sentences includes sorting by a number of implications each sentence has from other sentences.
5 . The method of claim 1 , wherein sorting the sentences includes assigning a score to each sentence based on a cosine comparison of encoded sentence representations.
6 . The method of claim 5 , wherein the score is further discounted by a maximum of previous scores for each sentence.
7 . The method of claim 1 , wherein the documents are reviews for a healthcare product and wherein performing the action includes altering a treatment for a patient based on the summary.
8 . The method of claim 7 , wherein altering the treatment for the patient includes automatically ceasing a treatment that is indicated as being dangerous by the summary.
9 . The method of claim 7 , wherein altering the treatment for the patient includes aiding in decision-making by a medical professional.
10 . The method of claim 1 , wherein generalizing the summary includes informativeness ranking based on a comparison of implications of the summary by reviews of a current product or entity to implications by reviews of a different product or entity.
11 . A system for document summarization, comprising:
a hardware processor; and
a memory that stores a computer program which, when executed by the hardware processor, causes the hardware processor to:
split documents into sentences;
sort the sentences by a metric that promotes review opinion prevalence from the documents to generate a ranked list of sentences;
form groups of sentences with similar embeddings and applying a trained generalization encoder-decoder model to output a common generalization of the sentences in each group;
add sentences to a summary from the generalizations corresponding to the sentences in the ranked list, in rank-order, until a target summary length has been reached; and
perform an action responsive to the summary.
12 . The system of claim 11 , wherein the computer program further causes the hardware processor to simplify the sentences before sorting.
13 . The system of claim 11 , wherein the computer program further causes the hardware processor to filter trivial conclusions from the sentences before sorting.
14 . The system of claim 11 , wherein the computer program further causes the hardware processor to sort by a number of implications each sentence has from other sentences.
15 . The system of claim 11 , wherein the computer program further causes the hardware processor to assign a score to each sentence based on a cosine comparison of encoded sentence representations.
16 . The system of claim 15 , wherein the score is further discounted by a maximum of previous scores for each sentence.
17 . The system of claim 11 , wherein the documents are reviews for a healthcare product and wherein the computer program further causes the hardware processor to alter a treatment for a patient based on the summary.
18 . The system of claim 17 , wherein the computer program further causes the hardware processor to automatically cease a treatment that is indicated as being dangerous by the summary.
19 . The system of claim 17 , wherein the computer program further causes the hardware processor to in decision-making by a medical professional.
20 . The system of claim 11 , wherein the computer program further causes the hardware processor to rank informativeness based on a comparison of implications of the summary by reviews of a current product or entity to implications by reviews of a different product or entity.