SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
In the summarization domain, a key requirement for summaries is to be factually consistent
with the input document. Previous work has found that natural language inference (NLI) …
with the input document. Previous work has found that natural language inference (NLI) …
LongEval: Guidelines for human evaluation of faithfulness in long-form summarization
While human evaluation remains best practice for accurately judging the faithfulness of
automatically-generated summaries, few solutions exist to address the increased difficulty …
automatically-generated summaries, few solutions exist to address the increased difficulty …
Summ^ n: A multi-stage summarization framework for long input dialogues and documents
Text summarization helps readers capture salient information from documents, news,
interviews, and meetings. However, most state-of-the-art pretrained language models (LM) …
interviews, and meetings. However, most state-of-the-art pretrained language models (LM) …
Measuring data
We identify the task of measuring data to quantitatively characterize the composition of
machine learning data and datasets. Similar to an object's height, width, and volume, data …
machine learning data and datasets. Similar to an object's height, width, and volume, data …
Summary explorer: Visualizing the state of the art in text summarization
This paper introduces Summary Explorer, a new tool to support the manual inspection of text
summarization systems by compiling the outputs of 55~ state-of-the-art single document …
summarization systems by compiling the outputs of 55~ state-of-the-art single document …
[HTML][HTML] Automatically summarizing evidence from clinical trials: A prototype highlighting current challenges
We present TrialsSummarizer, a system that aims to automatically summarize evidence
presented in the set of randomized controlled trials most relevant to a given query. Building …
presented in the set of randomized controlled trials most relevant to a given query. Building …
[PDF][PDF] A hybrid approach for text summarization using semantic latent Dirichlet allocation and sentence concept mapping with transformer
BM Gurusamy, PK Rengarajan… - International Journal of …, 2023 - academia.edu
Automatic text summarization generates a summary that contains sentences reflecting the
essential and relevant information of the original documents. Extractive summarization …
essential and relevant information of the original documents. Extractive summarization …
Interactive User Interface for Dialogue Summarization
Summarization is one of the important tasks of natural language processing used to distill
information. Recently, the sequence-to-sequence method was applied, in a general manner …
information. Recently, the sequence-to-sequence method was applied, in a general manner …
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions
Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …
systems towards the intended goals, ethical principles, and values of individuals and …
SummerTime: Text summarization toolkit for non-experts
Recent advances in summarization provide models that can generate summaries of higher
quality. Such models now exist for a number of summarization tasks, including query-based …
quality. Such models now exist for a number of summarization tasks, including query-based …