[PDF] Top 20 Simplification Using Paraphrases and Context Based Lexical Substitution
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Simplification Using Paraphrases and Context Based Lexical Substitution
... a lexical network en- coding manually identified semantic relationships between words, such as synonymy, hypernymy and ...in substitution tasks (McCarthy and Navigli, 2007). We also use paraphrases ... See full document
11
Evaluation Dataset and System for Japanese Lexical Simplification
... This dataset was annotated by fluent but non- native English speakers (college freshmen). The Trial dataset used four annotators, and the Test dataset used five annotators. These annotators ranked target words and their ... See full document
6
Personalized Substitution Ranking for Lexical Simplification
... of lexical substitution (McCarthy and Navigli, ...ate paraphrases, PPDB uses a scoring model that estimates semantic distance between two words with WordNet, and also considers lexical ... See full document
10
Reliable Lexical Simplification for Non Native Speakers
... Automatic Generation Consists in automatically generating pairs of related words and paraphrases. The works of (Elhadad and Sutaria, 2007), (Kauchak and Barzilay, 2006) and (Del´eger and Zweigen- baum, 2009) focus ... See full document
8
CEFR based Lexical Simplification Dataset
... text simplification pairing sentences from Wikipedia and Simple Wikipedia (hereafter referred to as the Wikipedia ...cluding lexical changes, reordering, insertions and deletions using the Wikipedia ... See full document
5
A Comparison of Context sensitive Models for Lexical Substitution
... built using the pivot method (Bannard and Callison-Burch, 2005), which discovers same-language paraphrases by ‘pivoting’ over bilingual parallel ...constructed using the pivot method, it follows that ... See full document
12
Lexical Simplification with Neural Ranking
... sentences using the Stanford Tagger (Toutanvoa and Manning, 2000), produce word alignments using Meteor (Denkowski and Lavie, 2011), and extract candidates using a strategy sim- ilar to that of Horn ... See full document
7
BERT based Lexical Substitution
... BERT-based lexical substitution approach, moti- vated by that BERT (Devlin et ...fitness based on the substitution’s in- fluence on the contextualized representation of the sentence, which ... See full document
6
PIC a Different Word: A Simple Model for Lexical Substitution in Context
... The Lexical Substitution task involves select- ing and ranking lexical paraphrases for a target word in a given sentential context. We present PIC, a simple measure for estimating the ... See full document
6
Text Simplification Based On Lexical Analysis
... text simplification is ...the simplification task, including: lexical, syntactic, statistical machine translation and hybrid ...faces. Lexical simplification is the task of identifying ... See full document
5
Lexical Substitution for the Medical Domain
... The second DT is based on dependencies as context features from a English Slot Grammar (ESG) parser (McCord et al., 2012) modified to handle medical data. The ESG parser is also capable of finding ... See full document
5
Supervised All Words Lexical Substitution using Delexicalized Features
... the lexical substitution problem according to the settings established by the English Lexical Substitution Task (McCarthy and Navigli, 2007) at Semeval 2007 (LexSub) typically employ a simple ... See full document
11
Putting it Simply: a Context Aware Approach to Lexical Simplification
... cal Substitution Task (McCarthy and Navigli, ...automatic simplification methods. Yatskar et al. (2010) learn lexical simplification rules from the edit histories of Wikipedia Simple ... See full document
6
Lexical Substitution Dataset for German
... here.’ Lexical substitution has been primarily used for evaluat- ing the performance of Word Sense Disambiguation (WSD) systems ...English Lexical Substitution Task (Mc- Carthy and Navigli, ... See full document
6
Word Sense Filtering Improves Embedding Based Lexical Substitution
... vector-based lexical sub- stitution models. Lexical substitution requires systems to predict substitutes for target word in- stances that preserve their meaning in context (McCarthy and ... See full document
10
Controlled and Balanced Dataset for Japanese Lexical Simplification
... English lexical simplifi- cation based on that developed by McCarthy and Navigli ...penalty based agree- ment (McCarthy and Navigli, 2007) and Fleiss’ ...of lexical simplification be- ... See full document
7
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
Sense annotating a Lexical Substitution Data Set with Ubyline
... in context) format alongside a list of candidate senses from ...sentential context, though sepa- rately rather than in KWIC ...each context is a list of candidate senses, identified only by their ... See full document
8
Benchmarking Lexical Simplification Systems
... to Substitution Selection ...lutions, Substitution Selection has rarely been addressed in literature, which has consequently led modern simplifiers to simply ignore this step for the lack of a better ...In ... See full document
7
LEXenstein: A Framework for Lexical Simplification
... define Substitution Generation (SG) as the task of producing candidate substitutions for complex words, which is normally done regardless of the context of the complex ... See full document
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