Titlebook: Computational Processing of the Portuguese Language; 13th International C Aline Villavicencio,Viviane Moreira,Gustavo Henriq Conference pro

兇殘

Supply Chain Management Projects with APOyzing each document is a time-consuming and tedious task. Thus, Open IE area emerges to help the extraction of semantic relationships in a large number of texts written in a natural language from different domains. Although a semantic analysis does not guarantee complete accuracy in extracting relat

具體

FLOUR

Modelling of Special Production Conditionsps. Although a significant number of studies have focused on this problem in the last years, there is a lack of available linguistic resources for languages other than English. An essential resource for the evaluation of Open IE methods is notably an annotated corpus. In this work, we present the ch

統(tǒng)治人類

pineal-gland

Supply Chain Management with APOecture based on bidirectional Long Short-Term Memory with Conditional Random Fields has shown state-of-the-art performance for English, Spanish, Dutch and German languages. In this work, we evaluate this architecture and perform the tuning of hyperparameters for Portuguese corpora. The results achie

頑固

Sales in a Make-to-Order Environment to lexical variation and polysemy, we argue it is necessary to understand the meaning of an extracted relation, rather than just extracting its textual structure. In the present work, we investigate different methods for associating relations extracted by Open IE systems with the semantic relations

饑荒

harmony

hieroglyphic

Favorable

Sales in a Make-to-Order Environment a natural language. One of the main steps of these systems is the Question Classification, where the system tries to identify the type of question (i.e. if it is related to a person, time or a location) facilitate the generation of a precise answer. Machine learning techniques are commonly employed