The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…

Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…

Introduces navigation as a central concept for information retrieval and for information systems in general. The evolution of information systems is described; navigability as an aid to improve relevance is discussed; and a system under development that attempts to facilitate navigation for information retrieval is described. (31 references) (LRW)

Discusses general issues of computer and human understanding; contrasts three paradigms of information retrieval methodology, including statistical, deep semantic or natural language, and smart Boolean; describes CONIT, a knowledge-based intermediary retrieval assistance system; and examines system evaluation procedures, including a…

Synthesizes major findings from research on the magnitude of individual differences in information retrieval (IR) tasks and suggests implications for practice and design of IR systems and interfaces. Topics discussed include indexing consistency, relevance judgments, selection of subject headings, selection of search terms, and search retrievals.…

Discusses methodological issues in empirical studies of information-related behavior in six specific research areas: information needs and uses; information seeking; relevance judgment; online searching (including online public access catalog, online database, and the Web); human-system interactions; and reference transactions. (Contains 191…

Discussion of the online searching process identifies the formulation of a search strategy as the major problem area for users of online systems. Artificial intelligence is suggested as a solution to this problem, and several expert systems for information retrieval are described. An annotated list of 24 items for further reading is included. (23…

This paper discusses the complexity of explanation activity in human-human goal-directed dialogue and suggests that this complexity ought to be taken into account in the design of explanation in human-computer interaction. A general model of clarity in human-computer systems is proposed, incorporating explanation as one component. On the basis of…

Reviews aspects of the relationship between machine learning and information retrieval. Highlights include learning programs that extend from knowledge-sparse learning to knowledge-rich learning; the role of the thesaurus; knowledge bases; artificial intelligence; weighting documents; work frequency; and merging classification structures. (78…

Reviews research that has been relevant to improved user access to online information retrieval systems: (1) background; (2) natural language interfaces; (3) information retrieval system interfaces; and (4) modification of systems through user feedback. A 29-item bibliography is included. (Author/JD)

Reviewed are several studies which demonstrate how artificial intelligence techniques can be applied in the design of end user-oriented interfaces (which would eliminate the need for an intermediary) to existing online systems, as well as in the development of future generations of online systems intended for the end user. (Author/SW)

This review of research that focuses on solutions to user interface problems in online search systems summarizes and compares the implications of studies in five categories: theoretical models, operating systems, individual cases, controlled experiments, and surveys. Forty-six references are cited. (SW)

Natural language processing (NLP) is concerned with getting computers to do useful things with natural language. Major applications include machine translation, text generation, information retrieval, and natural language interfaces. Reviews important developments since 1987 that have led to advances in NLP; current NLP applications; and problems…

Examines two primary roles played by natural language processing in storage and retrieval of information and outlines organization of natural language interface for data retrieval (question-answering system) and approaches being taken to text analysis. Research issues in computational linguistics and interactive knowledge acquisition are…

Discusses intelligent front-end processors designed to impose uniform standards on multiple databases and assist searchers, including motivation for development, prototypes from research community, commercial systems using microcomputers, capabilities and problems encountered in developing Franklin Institute's Online Database Search Assistance…