[PDF] Top 20 Sentence Simplification as Tree Transduction
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Sentence Simplification as Tree Transduction
... some sentence splitting can occur in SimpleTT due to sentence split and merge examples in the training data, SimpleTT does not explicitly model ...this. Sentence splitting could be incorporated as ... See full document
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Complexity Weighted Loss and Diverse Reranking for Sentence Simplification
... Text simplification has often been addressed as a monolingual translation process, which gener- ates a simplified version of a complex ...a tree-based translation model and consider sentence ... See full document
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Joint Decoding of Tree Transduction Models for Sentence Compression
... Joint decoding of pure tree transduction and dis- criminative model gives better performance than the joint model of tree transduction and language model. From Table 3 we can see that ... See full document
6
Sentence Simplification for Semantic Role Labelling and Information Extraction
... tence simplification method to improve perfor- mance on the CoNLL-2005 shared task on ...For sentence simplification, their method exploits full syntactic parsing with a set of 154 parse tree ... See full document
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Simplification de phrases pour l’extraction de relations (Sentence Simplification for Relation Extraction) [in French]
... De nombreuses méthodes ont été proposées pour l’extraction de relations, les plus courantes étant fondées sur une classification automatique plus ou moins supervisée. Les attributs utilisés pour la classification ... See full document
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Entity Focused Sentence Simplification for Relation Extraction
... The general paths, such as the shortest path or pair-enclosed trees (Section 1), can only cover a part of the necessary information for relation extraction. Recent machine-learning methods specifically examine how to ... See full document
9
Sentence Simplification for Semantic Role Labeling
... a sentence, thus decomposing complicated syntax into small, easy-to-process ...a sentence, we are left with a set of candidate simplified ...our simplification system to semantic role labeling ...the ... See full document
9
Text Simplification as Tree Labeling
... Baselines In the following experiments, we compare our approach to state-of-the-art ap- proaches to sentence compression and joint com- pression/paraphrasing. For the first of these two categories, we consider the ... See full document
7
Sentence Simplification with Deep Reinforcement Learning
... REinforcement Sentence Simplification model. Despite successful application in numerous se- quence transduction tasks (Jean et al., 2015; Chopra et al., 2016; Xu et al., 2015a), a vanilla ... See full document
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Applying Sentence Simplification to the CoNLL 2008 Shared Task
... The sentence simplification system, which we will refer to as Simplification, works in two ...the simplification procedure with the Baseline ... See full document
5
Text Simplification as Tree Transduction
... the simplification module is to produce syntactically and lexically simplified versions of a new complex ...lexical simplification rule sets, and the complex sentence to be ...complex sentence ... See full document
10
A Sentence Simplification System for Improving Relation Extraction
... Generally, state-of-the-art Open RE systems identify relationships between entities in a sentence by matching patterns over either its POS tags, e. g. (Banko et al., 2007; Fader et al., 2011; Merhav et al., 2012), ... See full document
5
A Monolingual Tree based Translation Model for Sentence Simplification
... parse tree of c as input and the two strings s1 and s2 as the desired ...parse tree of c and also s1 and ...parse tree into two parse trees pt1 and pt2 ...complex sentence which are dominated ... See full document
9
A Keyword-based Monolingual Sentence Aligner in Text Simplification
... in sentence similarity ...through sentence similarities further weighted by aligned content-word ratios and positions of aligned words to determine the optimal candidates of parallel ...prototype ... See full document
9
Sentence Alignment Methods for Improving Text Simplification Systems
... To compare the performances of different align- ment methods, we randomly selected 10 original texts (Level 0) and their corresponding simpler versions at Levels 1, 3 and 4. Instead of creating a ‘gold standard’ and then ... See full document
6
SimpleScience: Lexical Simplification of Scientific Terminology
... Lexical simplification of scientific terms rep- resents a unique challenge due to the lack of a standard parallel corpora and fast rate at which vocabulary shift along with ...extract simplification rules ... See full document
6
Aligning Texts and Knowledge Bases with Semantic Sentence Simplification
... Finding the natural language equivalent of structured data is both a challenging and promising task. In particular, an efficient alignment of knowledge bases with texts would benefit many applications, includ- ing ... See full document
8
Learning to Simplify Sentences Using Wikipedia
... problem of sentence compression, another English- to-English translation task. Knight and Marcu (2002) were one of the first to formalize text compression as a data-driven problem and pro- posed a probabilistic, ... See full document
9
Putting it Simply: a Context Aware Approach to Lexical Simplification
... of simplification consists of editing an in- put text into a version that is less complex linguisti- cally or more ...Automated sentence sim- plification has been investigated mostly as a pre- processing ... See full document
6
Assessing the relative reading level of sentence pairs for text simplification
... 3 Document-Level Readability Model In our first experiment, we tested the document- level readability model based on the 151 features using the WeeBit corpus. Under a regression per- spective on readability, we evaluated ... See full document
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