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Found 12 papers, 8 papers with code
Semantic Parsing of Brief and Multi-Intent Natural Language Utterances
Many military communication domains involve rapidly conveying situation awareness with few words.
Modeling Endorsement for Multi-Document Abstractive Summarization
In this paper, we model the cross-document endorsement effect and its utilization in multiple document summarization.
A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
We present an empirical study in favor of a cascade architecture to neural text summarization.
Learning to Fuse Sentences with Transformers for Summarization
The ability to fuse sentences is highly attractive for summarization systems because it is an essential step to produce succinct abstracts.
Understanding Points of Correspondence between Sentences for Abstractive Summarization
We create a dataset containing the documents, source and fusion sentences, and human annotations of points of correspondence between sentences.
Joint Parsing and Generation for Abstractive Summarization
If generating a word can introduce an erroneous relation to the summary, the behavior must be discouraged.
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Text Summarization
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Analyzing Sentence Fusion in Abstractive Summarization
While recent work in abstractive summarization has resulted in higher scores in automatic metrics, there is little understanding on how these systems combine information taken from multiple document sentences.
Scoring Sentence Singletons and Pairs for Abstractive Summarization
There is thus a crucial gap between sentence selection and fusion to support summarizing by both compressing single sentences and fusing pairs.
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
The most important obstacles facing multi-document summarization include excessive redundancy in source descriptions and the looming shortage of training data.
Automatic Detection of Vague Words and Sentences in Privacy Policies
In this paper, we seek to identify vague content in privacy policies.
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Generating a text abstract from a set of documents remains a challenging task.
Abstract Meaning Representation for Multi-Document Summarization
Generating an abstract from a collection of documents is a desirable capability for many real-world applications.
