Valuable criminal-justice data in free texts such as police narrative reports are currently difficult to be accessed and used by intelligence investigators in crime analyses. It would be desirable to automatically identify from text reports meaningful entities, such as person names, addresses, narcotic drugs, or vehicle names to facilitate crime investigation. In this paper, we report our work ...

Natural text generation has been one of the longstanding problems in arti cial intelligence. In this thesis, we have focused in the related problem of automatic text modi cation, which consists on: given a source sentence and a desired change, construct a valid natural language sentence that implements the desired change from the source sentence. This problem is relevant in many template-based ...

Acquisition of knowledge must be interwoven with the process of applying it. However, traditional training methods which provide abstract knowledge have shown ineffective for gaining experience of the work. In order to solve this problem, more and more researchers have included narrative in simulation, which is known as narrative simulation. By providing the narratives, participants recognize t...

This paper introduces the narrative network as a device for representing patterns of “technology in use.” The narrative network offers a novel conceptual vocabulary for the description of information and communication technologies (ICTs) and their relationship to organizational forms. We argue that as ICTs have become increasingly modular and recombinable, so have organizational processes and f...

In this paper we study topology of the variety of closed pla-nar n-gons with given side lengths l1,. .. , ln. The moduli space M ℓ where ℓ = (l1,. .. , ln), encodes the shapes of all such n-gons. We describe the Betti numbers of the moduli spaces M ℓ as functions of the length vector ℓ = (l1,. .. , ln). We also find sharp upper bounds on the sum of Betti numbers of M ℓ depending only on the num...

People identified as idiot savants have long comprised an identifiable group (a high level of skill in the context of perceived mental deficiency) whose story has mostly been told by psychiatrists and psychologists within a medicalized model of disability that assumes deficiency and seeks remediation and normalization. More recently, people identified as savants have become common figures of li...

Background and Objective: Artificial intelligence (AI) is a revolutionary technique which deeply impacting reshaping clinical practice in oncology. This review aims to summarize the current status of application AI-based computed tomography (CT) for gastric cancer (GC), focusing on diagnosis, genetic detection risk prediction metastasis, prognosis treatment efficacy. The challenges prospects fu...

Recent years have seen the appearance of adaptive learning technologies that offer significant potential for bringing about fundamental improvements in education. A promising development in this arena is the emergence of narrative-centered learning environments, which integrate the inferential capabilities of intelligent tutoring systems with the rich gameplay supported by commercial game engin...

Overview Theoretical and Design Foundations: Open Design Challenges for Interactive Emergent Narrative James Owen Ryan, Michael Mateas, and Noah Wardrip-Fruin Expressive Intelligence Studio Center for Games and Playable Media University of California, Santa Cruz {jor, michaelm, nwf}@soe.ucsc.edu Abstract. We introduce a research framework for the design of interactive experiences in the domain ...