Relation classification is an important research arena in the field of natural language processing (NLP). In this paper, we present SDP-LSTM, a novel neural network to classify the relation of two entities in a sentence. Our neural architecture leverages the shortest dependency path (SDP) between two entities; multichannel recurrent neural networks, with long short term memory (LSTM) units, pic...

dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. part-of-speech (pos) tagging is a prerequisite for dependency parsing. generally, dependency parsers do the pos tagging task along with dependency parsing in a pipeline mode. unfortunately, in pipel...

The eye gaze behavior of individuals changes depending on their knowledge and experience of the event occurring in their field of view. In past studies, researchers formulated a hypothesis concerning this dependency on a specific scene and then analyzed the gaze behavior of viewers observing the scene. We depart from this hypothesis-testing paradigm. In this paper, we propose a datamining frame...

Word Sense Disambiguation is a difficult problem to solve in the unsupervised setting. This is because in this setting inference becomes more dependent on the interplay between different senses in the context due to unavailability of learning resources. Using two basic ideas, sense dependency and selective dependency, we model the WSD problem as a Maximum A Posteriori (MAP) Inference Query on a...

In the last 12 years, there has been a big progress in the field of unsupervised dependency parsing. Different approaches however sometimes differ in motivation and definition of the problem. Some of them allow using resources that are forbidden by others, since they are treated as a kind of supervision. The goal of this paper is to define all the variants of unsupervised dependency parsing pro...

This paper explores the idea that future game consoles and computers may no longer be single processor units, but instead symmetrical multiprocessor units. If this were to occur games would need to be programmed with concurrency in mind so that they could take advantage of the additional processing units. We explore past research and works in the field of parallel computing to find principles a...

To automatically analyze and compare elements of process models, investigating the natural language contained in the labels of the process models is inevitable. Therefore, the adaption of well-established techniques from the field of natural language processing to Business Process Management has recently experienced a growth. Our work contributes to the field of natural language processing in b...

In the last 12 years, there has been a big progress in the field of unsupervised dependency parsing. Different approaches however sometimes differ in motivation and definition of the problem. Some of them allow using resources that are forbidden by others, since they are treated as a kind of supervision. The goal of this paper is to define all the variants of unsupervised dependency parsing pro...

This paper explores the idea that future game consoles and computers may no longer be single processor units, but instead symmetrical multiprocessor units. If this were to occur games would need to be programmed with concurrency in mind so that they could take advantage of the additional processing units. We explore past research and works in the field of parallel computing to find principles a...

the concept of energy security has been changed into one of the key and controversial concepts in international relations and energy economy in the recent years. the literature of this concept has more developed in europe. because, european countries supply their major needs by imports. hence, russia as one of the main energy suppliers of europe :union: uses leveraging energy for closer to euro...