Several internet-based surveillance systems have been created to monitor the web for animal health surveillance. These collect a large amount of news dealing with outbreaks related diseases. Automatically identifying articles that describe same outbreak event is key step quickly detect relevant epidemiological information while alleviating manual curation content. This paper addresses task retr...

The article describes the graphic and orthographic features of unique Old Russian Psalter stored in Vatican Apostolic Library (under code Vat. slav. 8). This codex has practically not attracted attention researchers because it was difficult to access. It is now available on Internet can be fully studied. written by a highly qualified scribe who developed special font for his manuscript — half-l...

Abstract We analyzed a data set of scientific manuscripts that were submitted to various conferences in artificial intelligence. performed combination semantic, lexical, and psycholinguistic analyses the full text compared them with outcome peer review process. found accepted scored lower than rejected on two indicators readability, they also used more intelligence jargon. written words are les...

Textual documents published on the Web where people describe traveling experiences, usually called travelogues, can provide interesting information about the experiences lived by the respective authors while traveling. Nowadays, several websites can be used for sharing these textual documents, and the use of Web information for travel planning has also increased. Still, the usage of the travelo...

Textual information is of critical importance for automatic user classification in social media. However, most previous studies model textual features in a single perspective while the text in a user homepage typically possesses different styles of text, such as original message and comment from others. In this paper, we propose a novel approach, namely ensemble LSTM, to user classification by ...

The text associated with images provides valuable semantic meanings about image content that can hardly be described by low-level visual features. In this paper, we propose a novel multimodal approach to automatically predict the visual concepts of images through an effective fusion of textual features along with visual ones. In contrast to the classical Bag-ofWords approach which simply relies...

Using a decision tree as the predictive model, two algorithms are proposed in this paper: one for detecting textual entailment relationships, and the other for confirming textual fact. Features proposed by previous studies are improved upon, and new features are introduced. This enhances the effectiveness of the proposed method, which was tested using the RITE-VAL task of NTCIR 11. The proposed...

Document production tools are present everywhere, resulting in an exponential growth of increasingly complex, distributed and heterogeneous documents. This hampers document exchange, as well as their annotation and retrieval. While information retrieval mechanisms concentrate on textual features (corpus analysis), annotation approaches either target specific formats or require that a document f...