[PDF] Top 20 Lexical Simplification with the Deep Structured Similarity Model
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Lexical Simplification with the Deep Structured Similarity Model
... a Deep Struc- tured Similarity Model (DSSM) (Huang et ...a deep architecture by using a deep neu- ral network (DNN), that can effectively capture contextual features to perform semantic ... See full document
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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
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Sentence Simplification with Deep Reinforcement Learning
... encoder-decoder model, and then performed re- inforcement learning training (Section 3), and trained the lexical simplification model (Sec- tion ...the model with learning rate ... 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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Japanese Lexical Simplification for Non Native Speakers
... Our approach uses more than one resource. We first use a thesaurus since thesauri produce the best candidates of synonyms. For addressing the limitation of a thesaurus, we utilize dependency-based word embedding (Levy ... See full document
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Personalized Substitution Ranking for Lexical Simplification
... of lexical substitution (McCarthy and Navigli, ...scoring model that estimates semantic distance between two words with WordNet, and also considers lexical overlap, distributional similarity, ... See full document
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Benchmarking Lexical Simplification Systems
... cosine similarity with that of the target com- plex word, except for its morphological ...Their model uses 200 vector dimensions and is trained with the GloVe toolkit (Pennington et ...their model ... See full document
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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
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Structured Lexical Similarity via Convolution Kernels on Dependency Trees
... and lexical semantic ...the similarity of structural similar trees whose nodes are associated with different but re- lated ...the similarity accounted by its ... See full document
13
Assigning Deep Lexical Types Using Structured Classifier Features for Grammatical Dependencies
... SVMTool is another statistical sequential tagger which, as the name indicates, is based on support-vector machines. It is extremely flexi- ble in allowing to define which features should be used in the model (e.g. ... See full document
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Controlled and Balanced Dataset for Japanese Lexical Simplification
... Japanese lexical simplification ...integrate simplification rank- ing from all the annotators without consid- ering the ...Japanese lexical simplification with high correlation with ... See full document
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Reliable Lexical Simplification for Non Native Speakers
... Lexical Simplification is the task of modifying the lexical content of complex sentences in or- der to make them ...the Lexical Simplification task of ... See full document
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Evaluation Dataset and System for Japanese Lexical Simplification
... Such resources had to be created and made pub- lic, for the sake of readers in need of reading as- sistance, as well as to accelerate the research on this topic. Therefore, we have constructed and published a Japanese ... See full document
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Evaluating Lexical Similarity to build Sentiment Similarity
... semantic similarity (Spectral and Word2Vec), it appears clearly that for every coefficient con- sidered, the correlation is very low, which means that the semantic similarity that is obtained from this ... See full document
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Controllable Text Simplification with Lexical Constraint Loss
... Text simplification can be regarded as a mono- lingual machine translation ...a model to trans- late complex sentences into simpler sentences on parallel corpora between Wikipedia and Simple Wikipedia ... See full document
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Complexity Weighted Loss and Diverse Reranking for Sentence Simplification
... statistical model from Narayan and Gardent ...Sentence Simplification), a Seq2Seq model that uses a reinforcement learning frame- work at training time to reward the model for pro- ducing ... See full document
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Putting it Simply: a Context Aware Approach to Lexical Simplification
... Table 2 contains the results for each of the fre- quency bands. Grammaticality is not strongly influ- enced by frequency, and remains between 80-85% for both the baseline and our system (considering the ok judgment as ... See full document
6
Text simplification using synchronous dependency grammars: Generalising automatically harvested rules
... text simplification, but a few other oper- ations are also needed to avoid broken depen- dency links in the Target ...immediate lexical context of ... See full document
10
Towards Automatic Lexical Simplification in Spanish: An Empirical Study
... accurate lexical substitution of these items of ...one lexical unit with another is not always possible due to syntactic constraints, as illustrated in the following ... See full document
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Structured lexical data: how to make them widely available, useful and reasonably protected? A practicalexample with a trilingual dictionary
... Structured lexical data' how to make them widely available, useful and reasonably protected? A practicalexample with a trilingual dictionary Structured lexical data how to make them widely available,[.] ... See full document
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