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[PDF][PDF] Evaluating sentence compression: Pitfalls and suggested remedies
This work surveys existing evaluation methodologies for the task of sentence compression,
identifies their shortcomings, and proposes alternatives. In particular, we examine the …
identifies their shortcomings, and proposes alternatives. In particular, we examine the …
Keyphrase extraction for n-best reranking in multi-sentence compression
Multi-Sentence Compression (MSC) is the task of generating a short single sentence
summary from a cluster of related sentences. This paper presents an N-best reranking …
summary from a cluster of related sentences. This paper presents an N-best reranking …
A dataset and evaluation metrics for abstractive compression of sentences and short paragraphs
We introduce a manually-created, multireference dataset for abstractive sentence and short
paragraph compression. First, we examine the impact of single-and multi-sentence level …
paragraph compression. First, we examine the impact of single-and multi-sentence level …
[PDF][PDF] Heads: Headline generation as sequence prediction using an abstract feature-rich space
Automatic headline generation is a sub-task of document summarization with many reported
applications. In this study we present a sequence-prediction technique for learning how …
applications. In this study we present a sequence-prediction technique for learning how …
From lengthy to lucid: a systematic literature review on NLP techniques for taming long sentences
Long sentences have been a persistent issue in written communication for many years since
they make it challenging for readers to grasp the main points or follow the initial intention of …
they make it challenging for readers to grasp the main points or follow the initial intention of …
No time like the present: Methods for generating colourful and factual multilingual news headlines
News headlines are the main method for briefly providing a summary of the news article and
attracting an audience. In this paper, we experiment with different existing methods for …
attracting an audience. In this paper, we experiment with different existing methods for …
[PDF][PDF] Sentence compression with joint structural inference
Sentence compression techniques often assemble output sentences using fragments of
lexical sequences such as ngrams or units of syntactic structure such as edges from a …
lexical sequences such as ngrams or units of syntactic structure such as edges from a …
Extending multi-text sentence fusion resources via pyramid annotations
NLP models that compare or consolidate information across multiple documents often
struggle when challenged with recognizing substantial information redundancies across the …
struggle when challenged with recognizing substantial information redundancies across the …
Parse Trees Guided LLM Prompt Compression
Offering rich contexts to Large Language Models (LLMs) has shown to boost the
performance in various tasks, but the resulting longer prompt would increase the …
performance in various tasks, but the resulting longer prompt would increase the …
[PDF][PDF] Approximation strategies for multi-structure sentence compression
Sentence compression has been shown to benefit from joint inference involving both n-gram
and dependency-factored objectives but this typically requires expensive integer …
and dependency-factored objectives but this typically requires expensive integer …