Sentence Compression
22 papers with code • 1 benchmarks • 2 datasets
Sentence Compression is the task of reducing the length of text by removing non-essential content while preserving important facts and grammaticality.
Benchmarks
These leaderboards are used to track progress in Sentence Compression
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Sentence Compression
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Latest papers with no code
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences
This survey, conducted using the PRISMA guidelines, systematically reviews two main strategies for addressing the issue of long sentences: a) sentence compression and b) sentence splitting.
Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts
Meetings typically involve multiple participants and lengthy conversations, resulting in redundant and trivial content.
Leveraging Information Bottleneck for Scientific Document Summarization
This paper presents an unsupervised extractive approach to summarize scientific long documents based on the Information Bottleneck principle.
Cross-Register Projection for Headline Part of Speech Tagging
However, the register of English news headlines, "headlinese", is very different from the register of long-form text, causing POS tagging models to underperform on headlines.
RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy
In the field of dialogue summarization, due to the lack of training data, it is often difficult for supervised summary generation methods to learn vital information from dialogue context with limited data.
With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms
Sentence Compression is the task of generating a shorter, yet grammatical version of a given sentence, preserving the essence of the original sentence.
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
A lack of corpora has so far limited advances in integrating human gaze data as a supervisory signal in neural attention mechanisms for natural language processing(NLP).
A Token-wise CNN-based Method for Sentence Compression
Sentence compression is a Natural Language Processing (NLP) task aimed at shortening original sentences and preserving their key information.
Automatic Speech Summarisation: A Scoping Review
We also discuss the strengths and weaknesses of these different methods and speech features.
Sentence Compression as Deletion with Contextual Embeddings
Sentence compression is the task of creating a shorter version of an input sentence while keeping important information.
