[PDF] Top 20 Personalized Substitution Ranking for Lexical Simplification
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Personalized Substitution Ranking for Lexical Simplification
... similarity ranking of its candidates according to their average ...other lexical sub- stitution corpora such as the 2007 English Lexi- cal Substitution shared task (McCarthy and Nav- igli, 2009) and ... See full document
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A Word Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
... Data. We use the dataset from (Pavlick and Callison-Burch, 2016), which contains 100 unique target words/phrases sampled from the Newsela Simplification Corpus (Xu et al., 2015) of news ar- ticles, and follow the ... See full document
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Metaheuristic Approaches to Lexical Substitution and Simplification
... and ranking them relatively ...three ranking methods are doing more or less the same thing, at least for the first few ...n-gram–based ranking model was attempting to ... See full document
11
Simplification Using Paraphrases and Context Based Lexical Substitution
... the lexical simplification subtask, existing methods differ in their decision to include a word sense disambiguation (WSD) step for substitute selection and in the ranking method ...learn ... See full document
11
Lexical Simplification with the Deep Structured Similarity Model
... Lexical simplification is the task of automatically rewriting a text by substituting words or phrases with simpler variants, while retaining its mean- ing and ...to lexical simplifica- tion generally ... See full document
6
Lexical Simplification with Neural Ranking
... new Lexical Simplification approach that exploits Neural Networks to learn substitutions from the Newsela cor- pus - a large set of professionally produced ... See full document
7
Benchmarking Lexical Simplification Systems
... Boundary Ranking approach of (Paetzold and Specia, 2016) offers an effective solution to Substitution Selection ...lutions, Substitution Selection has rarely been addressed in literature, which has ... See full document
7
Reliable Lexical Simplification for Non Native Speakers
... The only dataset developed specifically for this purpose is the one presented in SemEval 2012. But since the rankings were produced by only 5 non- native annotators, there are a various examples of ties between two ... See full document
8
LEXenstein: A Framework for Lexical Simplification
... BoundaryRanker Employs a novel strategy, in which ranking is framed as a binary classification task. During training, this approach assigns the la- bel 1 to all candidates of rank 1 ≥ r ≥ p, where p is a range set ... See full document
6
Recursive Context Aware Lexical Simplification
... and ranking the candidates us- ing a set of criteria, and choosing the top candi- ...a substitution that does not fit the surround- ing context, is ungrammatical or not semantically equivalent to the ... See full document
11
Controlled and Balanced Dataset for Japanese Lexical Simplification
... in simplification rank- ...tion ranking to a substitution list, a tie cannot be assigned in previous datasets (Specia et ...rates ranking consistency if some substitutes have a similar ...in ... See full document
7
Unsupervised Cross Lingual Lexical Substitution
... forms lexical substitution in English and then trans- lates each substitute into Spanish using two prede- fined bilingual dictionaries, while SWAT-S does the inverse, performing lexical ... See full document
11
Sense annotating a Lexical Substitution Data Set with Ubyline
... German lexical substitution data set used at the G ERM E VAL 2015: L EX S UB shared ...cheap lexical substitution annotations can be used as a knowledge source for automatic ...annotating ... See full document
8
A Preliminary Study of Croatian Lexical Substitution
... For our experiments, we re-implemented a sim- ple, yet powerful model of Melamud et al. (2015b), one of the best-performing models for lexical sub- stitution. This model posits that a good lexical ... See full document
6
Evaluation Dataset and System for Japanese Lexical Simplification
... on the average of the rank from each annota- tor, following the previous research (Specia et al., 2012). The same rank is assigned to words that have the same average. In this study, the same annotator performed both the ... See full document
6
Putting it Simply: a Context Aware Approach to Lexical Simplification
... The task of simplification consists of editing an in- put text into a version that is less complex linguisti- cally or more readable. Automated sentence sim- plification has been investigated mostly as a pre- ... See full document
6
Can Spanish Be Simpler? LexSiS: Lexical Simplification for Spanish
... Text simplification has by now become a well-established paradigm in NLP, combining a number of rather heterogeneous sub-tasks, such as syntactic simplification, content reduction, lexical ... See full document
18
Research and application of personalized human body simplification and fusion method
... the simplification of 3D model is mainly from the three aspects of point, edge, and ...most personalized features, and then use the edge collapse simplification method based on edge curvature and ... See full document
10
Text simplification using synchronous dependency grammars: Generalising automatically harvested rules
... expanding lexical context. The idea is that the lexical specification of context variables in rules can be expanded by identifying related words in ... See full document
10
Lexical Substitution as a Framework for Multiword Evaluation
... predefined lexical resources (Baldwin and Villavicencio, 2002; Fazly and Stevenson, 2006) and also iii) human judgments of compositionality (Ban- nard et ... See full document
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