[PDF] Top 20 Sentence Compression Beyond Word Deletion
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Sentence Compression Beyond Word Deletion
... a word sequence is either deleted or ...the sentence shorter, and this is precisely what our model can achieve, ...the compression rates shown in Table ... See full document
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Models for Sentence Compression: A Comparison across Domains, Training Requirements and Evaluation Measures
... for sentence compression fall into two broad classes depending on their training re- ...operationalise compression in terms of word deletion without learning spe- cific rules and can ... See full document
8
Is Sentence Compression an NLG task?
... autocue sentence, and therefore 84% can not be accounted for by a deletion ...any word deletion ...a deletion model could in principle be adequate for 55% of the ...a deletion ... See full document
8
Sentence Compression with Joint Structural Inference
... 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
10
Supervised and Unsupervised Learning for Sentence Compression
... and sentence compres- sion in particular, are popular ...statistical sentence compression in Statistics-Based Summarization - Step One: Sentence Compression (Knight and Marcu, ... See full document
8
Lexicalized Markov Grammars for Sentence Compression
... include compression bigrams, as well as soft syntactic evidence extracted from parse trees and dependency ...the sentence com- pression literature, such as head-modifier bilexical dependencies, and ... See full document
8
Sentence Compression For Automatic Subtitling
... As with any similar supervised machine learn- ing method, feature engineering is an important part of the development. The first class of features we use is derived from the morphological analysis of the target ... See full document
9
Parallel Sentence Compression
... We randomly chose around 60 articles from the News 2014 test set to be used as our develop- ment and test sets. The compressed source and reference data were created manually by three annotators. Two of them were native ... See full document
11
Unsupervised Rewriter for Multi Sentence Compression
... the word graph approach using a variety of strategies, such as keyphrase ...that word graph approaches produce more than 30% of the ungrammatical sentences (evaluated by a chart parser), which is partly due ... See full document
6
Ch2R: A Chinese Chatter Robot for Online Shopping Guide
... question word can basically represents the classification of the inter- ...{interrogative sentence type, interrogative word type, interrogative phrases, sentence struc- ...compressed ... See full document
9
Fast Joint Compression and Summarization via Graph Cuts
... 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
11
Sentence Compression with Semantic Role Constraints
... dep(i , j , + d) ∧ inComp(i) ⇒ inComp( j) (12) dep(i , j , + d) ∧ inComp(i) ⇔ inComp( j) (13) which enforce the consistencies between head and modifier tokens. Formula (12) represents that if we include a head token in ... See full document
5
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP CoNLL)
... Improving Statistical Machine Translation Using Word Sense Disambiguation Marine Carpuat and Dekai Wu.. Large Margin Synchronous Generation and its Application to Sentence Compression Tr[r] ... See full document
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Sentence Compression by Deletion with LSTMs
... robust compression model be built which only uses tokens and has no access to syn- tactic or other linguistic information? While phe- nomena like long-distance relations may seem to make generation of ... See full document
9
Sentence Compression for Target Polarity Word Collocation Extraction
... Target-polarity word (T-P) collocation extraction, a basic sentiment analysis task, relies primarily on syntactic features to identify the relationships between targets and polarity ...sentiment sentence ... See full document
10
Paraphrastic Sentence Compression with a Character based Metric: Tightening without Deletion
... 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
7
Multi Sentence Compression with Word Vertex Labeled Graphs and Integer Linear Programming
... Multi-Sentence Compression (MSC), also coined as Multi-Sentence Fusion, is a variation of ...new sentence, hopefully grammatically correct, which compresses the most relevant data of this ... See full document
10
Multi Sentence Compression: Finding Shortest Paths in Word Graphs
... Sentence compression (henceforth SC) is a task where the goal is to produce a summary of a sin- gle sentence which would preserve the important part of the content and be ...compressed ... See full document
9
Generating Valence Shifted Turkish Sentences
... a word and is one of positive, neg- ative or ...retrieve word valences from existing polarity ...Turkish word polarity lexicon (Tr L) which is built in a semi-automated manner by traversing a ... See full document
5
agent and subject : the word subject refers syntactically to the word in a sentence or clause that
... extra word at the start of the clause: "because". It is this extra word that stops the clause being able to be independent or to be a main clause; the word "because" forces the clause ... See full document
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