The ability to distinguish actions and effects caused by oneself from events occurring in the external environment is a fundamental aspect of human cognition. Underlying such distinctions, self-monitoring processes are often assumed, in which predicted events accompanied by one's own volitional action are compared with actual events observed in the external environment. Although many studies ha...

In the paper we discuss the problem of low recall for the named entity (NE) recognition task for Polish. We discuss to what extent the recall of NE recognition can be improved by reducing the space of NE categories. We also present several extensions to the binary model which give an improvement of the recall. The extensions include: new features, application of external knowledge and post-proc...

The paper describes an eecient technique for recognition of convex objects from tactile sensing. The technique is based on the development of internal and external volumetric approximations of the unknown object , and exploits an eeective feature selection strategy along with early pruning of incompatible objects to improve recognition performance. Exploration strategies conceived for a single-...

Named entity recognition often fails in idiosyncratic domains. That causes a problem for depending tasks, such as entity linking and relation extraction. We propose a generic and robust approach for high-recall named entity recognition. Our approach is easy to train and offers strong generalization over diverse domainspecific language, such as news documents (e.g. Reuters) or biomedical text (e...

We approach the BioCreative VI Track 1 task of biological entity identification by focusing on named entity recognition (NER) and linking tagged entities to standard database identifiers. For this task, we apply recent neural NER techniques of combining bi-directional long short term memory (BLSTM) network layers with conditional random fields (CRFs) to the biomedical domain. We then use contex...

Vascular anomalies, both tumors and malformations, can occur anywhere in the body, including the airway, often without any external manifestations. However, vascular anomalies involving the airway deserve special consideration as proper recognition and management can be lifesaving. In this article, the authors discuss vascular anomalies as they pertains to the airway, focusing on proper diagnos...

Today still big challenge in world to find efficient technique for perform recognition on mental tasks, and distinguish between them. This allow us to use Brain Computer Interface applications to helps disabled people to interaction with environment and control on external devices. Streszczenie. Obecnie duze znacznie ma rozpoznawanie aktywności umysłowej dzięki analizie aktywności mózgu. W arty...

The recognition of PAMPs by TLRs initiates the induction of inflammatory responses in the host cells through activation of signal transduction pathways mediated by transcription factor (nuclear factor-κB, NF-κB). Considering TLRs expressed in human cells TLR1, TLR2, TLR4, TLR5, and TLR6 are positioned near trans-membrane domains and are vital to the defense response of cells against external pa...

We present a new implementation of anisotropic mean curvature flow for contour recognition. Our procedure couples the mean curvature flow of planar closed smooth curves, with an external field from a potential of point-wise charges. This coupling constrains the motion when the curve matches a picture placed as background. We include a stability criteria for our numerical approximation.

In this paper, we report our TREC experiments with both ad-hoc task and risk-sensitive task of Web Track 2013. The ClueWeb12 dataset and its derived data were used this year. We use BM25 model with term proximity, entity recognition and external resource to rank the final results. We submitted six runs which were not optimized for any particular metric.