Language on the Internet and social media varies due to time, geography, and social factors. For example, consider an online chat forum where people from different regions across the world interact. In such scenarios, it is important to track and detect regional variation in language. A person from the UK, who is in conversation with someone from…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

Much recent work in natural language processing treats linguistic analysis as an inference problem over graphs. This development opens up useful connections between machine learning, graph theory, and linguistics. The first part of this dissertation formulates syntactic dependency parsing as a dynamic Markov random field with the novel…

Processing language requires the retrieval of concepts from memory in response to an ongoing stream of information. This retrieval is facilitated if one can infer the gist of a sentence, conversation, or document and use that gist to predict related concepts and disambiguate words. This article analyzes the abstract computational problem…

Discusses the logical approach to information retrieval that treats retrieval as inference, considers probabilistic models for text retrieval, and presents an approach for combining Datalog (a variant of Horn predicate logic) with probabilistic theory using intentional semantics with logical rules. Discusses syntax and semantics and compares this…

Presents a morphological classification of languages from the information retrieval (IR) perspective. Discusses differences in inflection, derivation, and compounding; index of synthesis and index of fusion; cross-language retrieval research; the need for semantic and syntactic typologies; and the effects of morphology and stemming in IR.…

DESIGNED FOR LINGUISTS AND LEXICOGRAPHERS, THE COLLECT SYSTEM CAN ANALYZE THE SYNTAX AND SEMANTICS OF RUSSIAN SENTENCES BY SEARCHING A FILE OF RUSSIAN TEXT. IN A TYPICAL SEARCH ON A GIVEN SENTENCE, GRAMMATICAL RELATIONSHIPS, INDIVIDUAL WORD SPELLINGS, AND WORD OCCURRENCES CAN BE DETERMINED. SINCE THE SYSTEM INCLUDES INTERPRETERS, THE LINGUIST CAN…

Presents exploratory research evaluating a conceptual structure for the description of visual content of images. The structure classifies visual attributes into a "Pyramid" containing four syntactic levels and six semantic levels. Experiments performed suggest the Pyramid is conceptually robust and can be used to: organize visual content…

Discusses the automatic construction of abstracts from the texts of documents. Automatic sentence extraction is examined, including syntactic criteria and semantic relational criteria; textual cohesion is discussed, including the recognition of anaphors and noun phrases; text structure is addressed; and the concept of abstract-frames is described.…

MLISP (meta-LISP) is a high level list-processing and symbol-manipulation language based on the programing language LISP (List Processor). MLISP programs are translated into LISP programs and then executed or compiled. MLISP exists for two purposes: (1) to facilitate the writing and understanding of LISP programs; (2) to remedy certain important…

Presents a concept of end-user query language with facilities for expressing relationships between objects kept in a database. The idea of nesting these features in typical document query language is shown. Examples of usage of these new facilities are included. (Author/MBR)

Analyzes the formal properties, structural consequences, similarities, and differences of link indicators, brackets, and cohesion separators in the query languages employed in information retrieval. Eleven figures, a 32-item reference list, and appendices on Extended Backus Notation and the formal definition of the Formal Relevance Language are…

Presents a model for the a priori analysis of natural language queries which uses an algorithm to transform the query into a logical pattern that is used to determine the answerability of the query. The results of testing by a prototype system implemented in PROLOG are discussed. (20 references) (CLB)

The first of two papers discusses natural language searching as a user performance enhancement tool, focusing on artificial intelligence applications for information retrieval and problems with natural language processing. The second presents a conceptual framework for further development and future design of front ends to online bibliographic…

Reviews the state of the art in automatic indexing, concentrating on the literature from 1968 to 1973. (Author/PF)