Extracting knowledge from text data is a complex task that is usually performed by first structuring the texts and then applying machine learning algorithms, or by using specific deep architectures capable of dealing ...

Full-text indexes provide fast substring search over large text collections. A serious problem of these indexes has traditionally been their space consumption. A recent trend is to develop indexes that exploit the ...

The text matter in an image or a video provides more important clue and semantic information of the particular event in the actual situation. Text localization task stands an interesting and challenging research-oriented ...

The main objective of this thesis is analyze the incidence of narrative texts paragraphs structure in written production of the student of tenth grade from a public educational unit. The authors of this thesis use a series ...

The need to store and query a set of strings - a string dictionary - arises in many kinds of applications. While classically these string dictionaries have accounted for a small share of the total space budget (e.g., in ...

One way to organize knowledge and make its search and retrieval easier is to create a structural representation divided by hierarchically related topics. Once this structure is built, it is necessary to find labels for ...

One way to organize knowledge and make its search and retrieval easier is to create a structural representation divided by hierarchically related topics. Once this structure is built, it is necessary to find labels for ...