[PDF] Top 20 Sentence Compression by Deletion with LSTMs

... among others) or use syntactic features as signals in a statistical model (McDonald, 2006). It is prob- ably even more common to operate on syntactic trees directly (dependency or constituency) and generate compressions ... See full document

... abstractive compression which we created by having annotators compress sentences while rewriting ...stractive compression is a meaningful ...Abstractive Compression Corpus A stumbling block to ... See full document

... average compression rate of ...the deletion model to generate compressions con- strained to ±5 characters of the length of the ora- cle ...the deletion model to paraphrastic compressions would ... See full document

... a sentence compression system based on synchronous context-free grammars (SCFG), following the successful noisy-channel approach of (Knight and Marcu, ... See full document

... autocue sentence, and therefore 84% can not be accounted for by a deletion ...a deletion model could in principle be adequate for 55% of the ...a deletion model might be ... See full document

... a compression to occur, it needs to be less de- sirable to add an adjective in the channel model than in the source ...constituent deletion is far lower than the probability of the constituents all being ... See full document

... of compression was proposed by Dras (1997) as reluctant sentence paraphras- ing under length ...on sentence re- duction (Jing, ...as sentence representations for compres- ...of ... See full document

... for deletion-based sentence compres- sion, including techniques that assemble the out- put text under an n-gram factorization over the input text (McDonald, 2006; Clarke and Lapata, 2008) or an arc ... See full document

... at compression rates ranging from less than 10 to ...at compression rates below 40 (see ...“creative deletion” to tighten a sentence up to a certain point, before hitting a ... See full document

... for deletion-based sen- tence compression, and viewed this task as a series of deletion-and-evaluation op- erations using the ...trial-and-error deletion operations are con- ducted on the ... See full document

... of deletion make the compression model more flexible, as indicated by closer CR of the model trained on multi-root+ instead of rooted to the average CR of the test ... See full document

... supervised sentence compression is making use of rich feature rep- resentations because of very scarce parallel ...which deletion-based algorithms can be ...unsupervised compression method ... See full document

... of sentence-based extractive summariza- tion is limited by the informativeness of the orig- inal sentences and the summary length ...tence, sentence compression is proposed to generate more ... See full document

... Automated broadcast programme subtitling is an important task, especially with the recent intro- duction of legislation which mandates all pro- grammes of the Finnish national broadcasting cor- poration to be subtitled, ... See full document

... to sentence com- ...for sentence com- pression, including the learning framework and an efficient decoding algorithm for searching the space of ...compressed sentence, dropped words and phrases from ... See full document

... on sentence compression employ the n-gram language model to evaluate the linguistic likelihood of a compressed ...of sentence com- ...pressed sentence from newspaper articles, corpus size is ... See full document

... Weak interaction Models Some early works fo- cus on sentence level interactions, such as ARC- I(Hu et al., 2014), CNTN(Qiu and Huang, 2015) and so on. These models first encode two sequences with some basic ... See full document

... sentences. Sentence compression is a recent framework that aims to select the short- est subsequence of words that yields an infor- mative and grammatical ...performs sentence extraction and ... See full document

... syntax-based sentence- level discourse parser, which consists of two compo- nents: a statistical segmentation model and a parser working on the output of the ... See full document

... Automatic text summarization is a rapidly develop- ing field in computational linguistics. Summariza- tion systems can be classified as either extractive or abstractive ones (Sp¨arck Jones, 1999). To date, most systems ... See full document