Extracting action sequences from texts in natural language is challenging, which requires commonsense inferences based on world knowledge. Although there has been work on extracting action scripts, instructions, navigation actions, etc., they require either the set of candidate actions is provided in advance, or action descriptions are restricted in a specific form, e.g., description templates....

in recent years due to improvements of technology within automobile industry, design process of advanced driver assistance systems for collision avoidance and traffic management has been investigated in both academics and industrial levels. detection of traffic signs is an effective method to reach the mentioned aims. in this paper a new intelligent driver assistance system based on traffic sig...

This short literature review argues that the Resource-Based View (RBV) school of strategic management has recently become of increased interest to scholars of healthcare organizations. RBV links well to the broader interest in more effective Knowledge Mobilization (KM) in healthcare. The paper outlines and discusses key concepts, texts and authors from the RBV tradition and gives recent example...

This paper presents ongoing work dedicated to parsing the textual structure of procedural texts. This work is based on a two level approach: first, basic structures in texts are segmented using automata techniques and then a text grammar is applied to assemble these fragments. The grammar is based on X-bar syntax, transposed to text structure.

purpose: this study aimed to measure the information load of words in farsi scientific texts and determine the relationship between some properties of the words and information load of the texts based on shannon entropy. methodology: the study was conducted based on the content analysis of a number of 320 articles that were published in scientific-research iranian journals in 2009. and the arti...

In this paper, we aim at identifying uncertainty cues in Hungarian social media texts. We present our machine learning based uncertainty detector which is based on a rich features set including lexical, morphological, syntactic, semantic and discourse-based features, and we evaluate our system on a small set of manually annotated social media texts. We also carry out cross-domain and domain ada...

Gender differences in language use have long been of interest in linguistics. The task of automatic gender attribution has been considered in computational linguistics as well. Most research of this type is done using (usually English) texts with authorship metadata. In this paper, we propose a new method of male/female corpus creation based on gender-specific first-person expressions. The meth...

This paper investigates the need for applying English prosody when synthesising English portions of mixed English/German texts using a German-based polyglot text-to-speech (TTS) synthesis system. The polyglot system is based on a monolingual German TTS system, which uses a phone mapping from English to German to synthesise English texts. Two systems with varying degrees of assimilation to Engli...

The paper presents a rule-based information extraction (IE) system for Polish medical texts. We select the most important information from diabetic patients’ records. Most data being processed are free-form texts, only a part is in table form. The work has three goals: to test classical IE methods on texts in Polish, to create relational database containing the extracted data, and to prepare an...