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Found 4 papers, 1 papers with code
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
In this paper, we present RTSUM, an unsupervised summarization framework that utilizes relation triples as the basic unit for summarization.
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering
The long-standing goal of dense retrievers in abtractive open-domain question answering (ODQA) tasks is to learn to capture evidence passages among relevant passages for any given query, such that the reader produce factually correct outputs from evidence passages.
Improving Document Clustering by Removing Unnatural Language
We view this problem as an information extraction task and build a multiclass classification model identifying unnatural language components into four categories.
Improving Document Clustering by Eliminating Unnatural Language
We view this problem as an information extraction task and build a multiclass classification model identifying unnatural language components into four categories.
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