[PDF] Top 20 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

... SRL has been used in many natural language processing (NLP) applications such as question answering [1], machine translation [2], document summarization [3] and information extraction [4]. Therefore, SRL ... See full document

... and information- extraction ...parsed sentence) is often used to construct ker- nels or feature vectors that can recognize and extract interesting ...the information that is unnecessary for ... See full document

... of information in Web text and assigns higher confidence to extractions occurring multiple ...text. Semantic Role Labeling: SRL is a common NLP task that consists of detecting semantic ... See full document

... argument labelling (recall that argument and predicate labelling is done in parallel in this model) finally leads to a result that outperforms ...syntactic information nor joint ... See full document

... source sentence is trans- formed into a simplified two-layered representation in the form of core facts and accompanying con- texts, thus providing a kind of normalization of the input ...extracting ... See full document

... A complementary line of research explores the representation of sequence information. Promi- nent examples are the works by Deschacht and Moens (2009) and Huang and Yates (2010) who learned and applied Hidden ... See full document

... This is necessary because the variable length of figures and – within figures – of phrases is bound to cause difficulties when applying the patterns that were learned to new sentences. Rules have the advantage over ... See full document

... the simplification process, which repre- sents the syntax as a set of local syntactic transfor- mations, is more linguistically satisfying than using the entire parse path as an atomic ...the simplification ... See full document

... assign semantic roles (Daniel Gildea and Daniel Jurafsky, ...methods. Semantic Role Labelling (SRL) by Johansson and Nugues (2008) achieved the best result in terms of F-measure for the corpus ... See full document

... However, in both examples, a reader could eas- ily infer the missing arguments from the surround- ing context of the predicate, and determine that in (1) both instances of the predicate share the same arguments and in ... See full document

... Another way is to find a sample that contains enough information to label the whole sub-tree (Approach C). This approach always generates consistent structures. The limitation of this model is that the required ... See full document

... This information can be incorporated into an SRL system in several different ...span information from constituency parse trees as an additional training target in a multi-task learning approach, similar to ... See full document

... 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

... the sentence, transforming passive structures into active forms, and transforming a cleft to a ...new sentence. Resuming from the original sentence, the main clause is, in turn, removed to keep only ... See full document

... The belated ‘introduction’ to MRS in Copestake et al. (2005) primarily covered formal represen- tation of complete utterances. Copestake (2007a) described uses of ( R ) MRS in applications. Copes- take et al. (2001) and ... See full document

... The method has disadvantages as well. The in- formation available in a predicate lexicon is less di- rectly applicable to building a learning model. In- evitably, our results are noisier than in a super- vised approach ... See full document

... 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 encoder-decoder ... See full document

... of sentence sim- plification, BLEU is a more appropriate metric than Flesch-Kincaid or a similar readability metric, al- though it should be noted that BLEU was found only to correlate significantly with Fluency, ... See full document

... input layer. After performing one iteration of forward- propagation through the network, we can then view the activation values in the hidden layers as dense, so-called “distributed representations” (features) of the ... See full document