[PDF] Top 20 A Sentence Simplification System for Improving Relation Extraction

... 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 ...original sentence ... See full document

... each sentence with at least one change on a 1–5 Likert scale (1 – very bad; 5 – very ...target sentence is: +2 – much simpler; +1 – somewhat simpler; 0 – equally difficult; -1 – somewhat more difficult; -2 ... See full document

... We show the results of our model for the CDR and CHR datasets in Table 2. We report the perfor- mance of state-of-the-art models without any ad- ditional enhancements, such as joint training with NER, model ensembling ... See full document

... Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are the ear- liest and commonly used approaches for relation extraction. Zeng et al. (2014) showed that CNN with position embeddings ... See full document

... of sentence order- ing through multi-document summarization to test the effectiveness of the proposed ...important sentence extraction (Okazaki et ...evaluate sentence order- ing of these ... See full document

... best sentence or calculating soft attention weights over the set of the sentences of one specific entity ...each relation type without any supervised ... See full document

... Event-event relations are more complicated, first in that they have lower annotation quality than event-time relations (see Table 5 from (Styler et al., 2014)). And while almost every temporal ex- pression in a ... See full document

... and Klein, 2014), but also in distant supervision (Koch et al., 2014; Augenstein et al., 2016). No- tably, while Koch et al. (2014) and Augenstein et al. (2016) still learned to extract from single sen- tences, they ... See full document

... ther sentence alone. The missed relations impact the system performance, leading to poor ...and extraction errors can have se- vere negative ...across sentence boundaries, and show a better ... See full document

... Out of the 100 sentences put to test, 61 sentences are simplified by the system. 23 cases out of the unhandled cases were already simple as per our definition in section 3 . On closer inspection we find 9 out of ... See full document

... recommendation system, and entity mining, which are related but not ...and relation using sequential rule in addition to manually created indicative keyword which is a time consuming which result in low ... See full document

... of sentence simplification methods, we performed an extrinsic evaluation of one information-preserving sentence simplification method via three NLP ...the sentence simplification ... See full document

... la simplification syntaxique pour améliorer l’extraction de relations ont été menées dans le domaine des interactions entre protéines ...de simplification syntaxique qui s’appliquent au niveau ...la ... See full document

... These corpora have several differences in their definition of entities and relations (Pyysalo et al., 2008). In fact, BioInfer and AIMed target all oc- curring entities related to the corpora (proteins, genes, etc). On ... See full document

... Automatic Sentence Simplifica- tion Evaluation) is a Python package that provides access to popular automatic metrics in SS evalu- ation and ready-to-use public datasets through a simple command-line ... See full document

... on sentence simplification relied on handcrafted rules to capture syntactic simplifica- tion ...syntactic simplification rules are combined with lexical simplification rules extracted from ... 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

... 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 ...feature. Improving ... See full document

... cific simplification transformations using word- level analysis and QE ...the simplification capa- bilities of each system, which help better explain the initial automatic ... See full document

... split of the data in (Zhang and Lapata, 2017), i.e., 94,208/1,129/1,077 pairs for train/dev/test. (2) WikiSmall (Zhu et al., 2010), which contains aligned complex-simple sentence pairs from En- glish Wikipedia ... See full document