Theories of Conversation for Conversational IR

2021 ◽  
Vol 39 (4) ◽  
pp. 1-23
Author(s):  
Paul Thomas ◽  
Mary Czerwinksi ◽  
Daniel Mcduff ◽  
Nick Craswell
Keyword(s):  
Information Retrieval ◽  
Social Norms ◽  
Social Communication ◽  
Research Area ◽  
Body Language ◽  
Computer Applications ◽  
Social Agents ◽  
Past Work ◽  
Research And Design

Conversational information retrieval is a relatively new and fast-developing research area, but conversation itself has been well studied for decades. Researchers have analysed linguistic phenomena such as structure and semantics but also paralinguistic features such as tone, body language, and even the physiological states of interlocutors. We tend to treat computers as social agents—especially if they have some humanlike features in their design—and so work from human-to-human conversation is highly relevant to how we think about the design of human-to-computer applications. In this article, we summarise some salient past work, focusing on social norms; structures; and affect, prosody, and style. We examine social communication theories briefly as a review to see what we have learned about how humans interact with each other and how that might pertain to agents and robots. We also discuss some implications for research and design of conversational IR systems.

Information Retrieval Technologies and the “Realities” of Music Information Seeking

2016 ◽  
pp. 102-121
Author(s):  
Charilaos Lavranos ◽  
Petros Kostagiolas ◽  
Joseph Papadatos
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Research Area ◽  
Music Technology ◽  
Information Seeking Behavior ◽  
Seeking Behavior ◽  
Evolution Of Music ◽  
Music Information ◽  
Search And Retrieval ◽  
The Way

Music information seeking incorporates the human activities that are carried out for the search and retrieval of music information. In recent years, the evolution of music technology holds a central role affecting the nature of music information seeking behavior. The research area that deals with the accessibility and the retrievability process of music information is known as Music Information Retrieval (MIR). This chapter focuses on the presentation of MIR technologies which has a direct impact in the way that individuals, as well as different music communities such as composers, performers, listeners, musicologists, etc., handle and utilize music information. The aim of this chapter is to investigate the way different music communities interact with MIR systems. Our approach is based on a selected literature review regarding the MIR systems and the information seeking behavior of the musicians.

A Primer on Text-Data Analysis

2011 ◽  
pp. 3111-3118 ◽  
Author(s):  
Imad Rahal ◽  
Baoying Wang ◽  
James Schnepf
Keyword(s):  
Information Retrieval ◽  
Data Analysis ◽  
Language Processing ◽  
Information Filtering ◽  
Data Representation ◽  
Research Area ◽  
Research Field ◽  
Text Data ◽  
Document Collections ◽  
Text Data Analysis

Since the invention of the printing press, text has been the predominate mode for collecting, storing and disseminating a vast, rich range of information. With the unprecedented increase of electronic storage and dissemination, document collections have grown rapidly, increasing the need to manage and analyze this form of data in spite of its unstructured or semistructured form. Text-data analysis (Hearst, 1999) has emerged as an interdisciplinary research area forming a junction of a number of older fields like machine learning, natural language processing, and information retrieval (Grobelnik, Mladenic, & Milic-Frayling, 2000). It is sometimes viewed as an adapted form of a very similar research field that has also emerged recently, namely, data mining, which focuses primarily on structured data mostly represented in relational tables or multidimensional cubes. This article provides an overview of the various research directions in text-data analysis. After the “Introduction,” the “Background” section provides a description of a ubiquitous text-data representation model along with preprocessing steps employed for achieving better text-data representations and applications. The focal section, “Text-Data Analysis,” presents a detailed treatment of various text-data analysis subprocesses such as information extraction, information retrieval and information filtering, document clustering and document categorization. The article closes with a “Future Trends” section followed by a “Conclusion” section.

Semantic Multimedia Information Anaylsis for Retrieval Applications

2008 ◽  
pp. 880-897
Author(s):  
J. Magalhaes ◽  
Stefan Rüger
Keyword(s):  
Information Retrieval ◽  
Multimedia Information ◽  
Digital Libraries ◽  
Research Area ◽  
Multimedia Retrieval ◽  
Multimedia Content ◽  
Video Content ◽  
Comprehensive Review ◽  
Statistical Approaches ◽  
New Research

Most of the research in multimedia retrieval applications has focused on retrieval by content or retrieval by example. Since the classical review by Smeulders (2000) a new interest has grown immensely in the multimedia information retrieval community: retrieval by semantics. This exciting new research area arises as a combination of multimedia understanding, information extraction, information retrieval and digital libraries. This chapter presents a comprehensive review of analysis algorithms to extract semantic information from multimedia content. We discuss statistical approaches to analyse images and video content and conclude with a discussion regarding the described methods.

Adaptive Indexing for Semantic Music Information Retrieval

2011 ◽  
pp. 287-300
Author(s):  
Clement H.C. Leung ◽  
Jiming Liu ◽  
Alfredo Milani ◽  
Alice W.S. Chan
Keyword(s):  
Information Retrieval ◽  
Music Information Retrieval ◽  
Research Area ◽  
Multimedia Databases ◽  
Music Retrieval ◽  
Digital Devices ◽  
Retrieval Systems ◽  
Music Information ◽  
High Level ◽  
Storage Technologies

With the rapid advancement of music compression and storage technologies, digital music can be easily created, shared and distributed, not only in computers, but also in numerous portable digital devices. Music often constitutes a key component in many multimedia databases, and as they grow in size and complexity, their meaningful search and retrieval become important and necessary. Music Information Retrieval (MIR) is a relatively young and challenging research area started since the late 1990s. Although some form of music retrieval is available on the Internet, these tend to be inflexible and have significant limitations. Currently, most of these music retrieval systems only rely on low-level music information contents (e.g., metadata, album title, lyrics, etc.), and in this chapter, the authors present an adaptive indexing approach to search and discover music information. Experimental results show that through such an indexing architecture, high-level music semantics may be incorporated into search strategies.

scholarly journals The problems in the communication process between NGOs and society

2020 ◽  
pp. 65-70
Author(s):  
Mariusz Miszkiel ◽  
Tadeusz Popławski
Keyword(s):  
Social Communication ◽  
Research Area ◽  
Point Of View ◽  
Communication Process ◽  
Sociological Analysis ◽  
Social Phenomena ◽  
Practical Advice ◽  
Specific Term ◽  
Selection Of

The article considers and analyses the specificity of social communication on the base of considerations about commu­nication of aid organizations (for example Wspólnota Polska, Helsińska Fundacja Praw Człowieka, Zespół Monitorowania Rasizmu i Ksenofobii, Stowarzyszenie Interwencji Prawnej, Polskie Towarzystwo Prawa Antydyskryminacyjnego, Obywatele RP, Fundacja Otwarty Dialog, Komitet Obrony Demokracji, Akcja Demokracja and other) with the society. The article analyses this problem from a sociological point of view. Using the sociological analysis, the authors prove that communication, as one of the variables in the description and translation of social phenomena, also has another hidden function, thanks to which it becomes a specific term – a «picklock». A detailed description of the research and the selection of methods were included in previous studies, and there were also extensive accounts of the encountered actors regarding the nature and context of the observed situations of communication dilemmas. The research area was stretched between the periphery and social centers according to T. Popławski’s theory. The main focus here is on conclusions about communication and bureaucracy. The bu­reaucracy based on the Weberian model seems to be imploding more and more under the weight of extreme rationality, turn­ing into irrationality. The authors sum the article up with practical advice on resolving the issues related to bureaucratism.

scholarly journals Uso de Scopus y Web of Science para investigar y evaluar en comunicación social: análisis comparativo y caracterización

2020 ◽  
Vol 10 (3) ◽  
pp. 235-261
Author(s):  
Lluís Codina ◽  
◽  
Alejandro Morales-Vargas ◽  
Ruth Rodríguez-Martínez ◽  
Mario Pérez-Montoro ◽  
...  
Keyword(s):  
Social Sciences ◽  
Information Retrieval ◽  
Social Communication ◽  
Web Of Science ◽  
Expert Evaluation ◽  
Functional Characteristics ◽  
Detailed Review ◽  
Social Sciences And Humanities ◽  
Academic Information ◽  
Specific Impact

The objective is to characterize and compare the options offered by the main databases to researchers in social communication to search and evaluate academic information. To do this, through an expert evaluation, the functional characteristics of Scopus and Web of Science were examined. As a result, a detailed review of dimensions such as coverage, information retrieval and analysis tools of sources and authors present in each one is presented, as well as specific impact metrics. Among the conclusions, similarities are observed in the available functions, but significant differences in the number of journals in the field of social sciences and humanities, which leaves Scopus in a better position in the case of having to choose.

scholarly journals Information Retrieval in Business

2021 ◽  
Author(s):  
Revati Wable
Keyword(s):  
Information Retrieval ◽  
Computer Science ◽  
Research Paper ◽  
Research Area ◽  
Important Research ◽  
Important Research Area

For several years people have realized the importance of archiving and finding information. With the need of computers, finding useful information from such collections has become a necessity. Information retrieval has become an important research area in the field of computer science and gained importance in several fields like business, healthcare, agriculture, medicine, law and many other fields. Information retrieval is finding material that could be in the form of a document consisting of unstructured nature that provides the required information. This research paper focuses on the need, models and the processes involved in information retrieval. A case study on INSYDER system has been proposed to gain holistic knowledge of information retrieval in the field of business.

Information Retrieval Technologies and the “Realities” of Music Information Seeking

2016 ◽  
pp. 612-631
Author(s):  
Charilaos Lavranos ◽  
Petros Kostagiolas ◽  
Joseph Papadatos
Keyword(s):  
Information Retrieval ◽  
Information Seeking ◽  
Research Area ◽  
Music Technology ◽  
Information Seeking Behavior ◽  
Seeking Behavior ◽  
Evolution Of Music ◽  
Music Information ◽  
Search And Retrieval ◽  
The Way

Music information seeking incorporates the human activities that are carried out for the search and retrieval of music information. In recent years, the evolution of music technology holds a central role affecting the nature of music information seeking behavior. The research area that deals with the accessibility and the retrievability process of music information is known as Music Information Retrieval (MIR). This chapter focuses on the presentation of MIR technologies which has a direct impact in the way that individuals, as well as different music communities such as composers, performers, listeners, musicologists, etc., handle and utilize music information. The aim of this chapter is to investigate the way different music communities interact with MIR systems. Our approach is based on a selected literature review regarding the MIR systems and the information seeking behavior of the musicians.

Deep Learning

2020 ◽  
pp. 124-141 ◽  
Author(s):  
Menaga D. ◽  
Revathi S.
Keyword(s):  
Information Retrieval ◽  
Deep Learning ◽  
Software Engineering ◽  
Multimedia Information ◽  
Research Area ◽  
Multimedia Application ◽  
Information Process ◽  
Display Devices ◽  
Storage Devices ◽  
Major Application

Multimedia application is a significant and growing research area because of the advances in technology of software engineering, storage devices, networks, and display devices. With the intention of satisfying multimedia information desires of users, it is essential to build an efficient multimedia information process, access, and analysis applications, which maintain various tasks, like retrieval, recommendation, search, classification, and clustering. Deep learning is an emerging technique in the sphere of multimedia information process, which solves both the crisis of conventional and recent researches. The main aim is to resolve the multimedia-related problems by the use of deep learning. The deep learning revolution is discussed with the depiction and feature. Finally, the major application also explained with respect to different fields. This chapter analyzes the crisis of retrieval after providing the successful discussion of multimedia information retrieval that is the ability of retrieving an object of every multimedia.

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