Jean Mark Gawron

Sentences like (1a)-(1d) have attracted the attention of a number of authors (Jackendoff 1990, Matsumoto 1996, Talmy 1996, Gawron 2005). Each has both an event reading and a stative reading. For example, on what I’ll call the event reading of sentence (1a), a body of fog beginning in the vicinity of the pier moves pointwards, and on the other, stative reading, which I’ll call an extent reading, the mass of fog sits over the entire region between pier and point. The event reading entails movement. The extent reading entails extension, the occupation of a region of space. Similarly, there is a reading of (1b) describing a crack-widening event, as well as a reading describing the dimensions of the crack, increasing in width along an axis extending from the north tower to the gate; and readings of (c) and (d) describing movement events as well as readings describing the configuration of the storm front and the snow respectively.

The multilevel model of meme diffusion conceptualizes how mediated messages diffuse over time and space. As a pilot application of implementing the meme diffusion, we developed the social media analytics and research testbed to monitor Twitter messages and track the diffusion of information in and across different cities and geographic regions. Social media analytics and research testbed is an online geo-targeted search and analytics tool, including an automatic data processing procedure at the backend and an interactive frontend user interface. Social media analytics and research testbed is initially designed to facilitate searching and geo-locating tweet topics and terms in different cities and geographic regions; filtering noise from raw data ; analyzing social media data from a spatiotemporal perspective; and visualizing social media data in diagnostic ways. Social media analytics and research testbed provides researchers and domain experts with a tool that can efficiently facilitate the refinement, formalization, and testing of research hypotheses or questions. Three case studies are introduced to illustrate how the predictions of meme diffusion can be examined and to demonstrate the potentials and key functions of social media analytics and research testbed.

Situation theory is the result of an interdisciplinary effort to create a full-fledged theory of information. Created by scholars and scientists from cognitive science, computer science, AI, linguistics, logic, philosophy, and mathematics, the theory is forging a common set of tools for the analysis of phenomena from all these fields. This volume presents work that evolved out of the Second Conference on Situation Theory and its Applications. Twenty-six essays exhibit the wide range of the theory, covering such topics as natural language semantics, philosophical issues about information, mathematical applications, and the visual representation of information in computer systems.Jon Barwise is a professor of philosophy, mathematics, and logic at Indiana University in Bloomington. Jean Mark Gawron is a researcher at SRI International and a consultant at Hewlett-Packard Laboratories. Gordon Plotkin is a professor of theoretical computer science at the University of Edinburgh. Syun Tutiya is in the philosophy department at Chiba University in Japan.

Within some online communities, discussion often centers on issues on which writers take sides, and within some subset of those debate-prone communities, we find over time that particular sets of writers almost always end up on the same side of an issue. These sets we call factions. In this paper, we describe a tool to perform what we call faction discovery on online communities. Generalizing methods developed in the bibliometrics and information retrieval literature, we define a network determined by similarities of content in a community of users and add in direct evidence of online ties between users. We then perform community detection on the network to find factions. Using a set of data collected from science and fantasy blogs, we show that the discovered factions accurately reflect an active conflict in the community leading to significant, politically related social fracture.

For there exists a great chasm between those, on the one side, who relate everything to a single central vision, one system more or less coherent or articulate, in terms of which they understand, think and feel — a single, universal, organizing principle in terms of which alone all that they are and say has significance — and, on the other side, those who pursue many ends, often unrelated and even contradictory, connected, if at all, only in some de facto way, for some psychological or physiological cause, related by no moral or aesthetic principle.

We provide a semantic analysis of respective readings, including butnot limited to the interpretation of examples containing the adverbrespectively, which accounts for a number of facts that haveeither proven difficult for previous studies or heretofore goneunnoticed in the literature. The analysis introduces the new notionsof property sum and proposition sum which integrate smoothly with existing analyses of plurals and distributivity. The analysis also admits of a straightforward account of previouslyunacknowledged examples involving filler-gap dependencies that areproblematic for contemporary syntactic theories. Ramifications anddirections for future research are discussed.

A principal goal of this book is to develop and apply the Situation Semantics framework. Jean Mark Gawron and Stanley Peters adopt a version of the theory in which meanings are built up via syntactically driven semantic composition rules. They provide a substantial treatment of English incorporating treatments of pronomial anaphora, quantification, donkey anaphora, and tense. The book focuses on the semantics of pronomial anaphora and quantification. The authors argue that the ambiguities of sentences with pronouns cannot be adequately accounted for with a theory that represents anaphoric relations only syntactically; their relational framework uniformly deals with anaphoric relations as relations between utterances in context. They argue that there is no need for a syntactic representation of anaphoric relations, or for a theory that accounts for anaphoric ambiguities by resorting to two or more kinds of anaphora. Quantifier scope ambiguities are handled analogously to anaphoric ambiguities. This treatment integrates the Cooper Store mechanism with a theory of meaning that provides both a natural setting for it and a convincing account of what, semantically, is going on. Jean Mark Gawron is a researcher for Hewlett Packard Laboratories, Palo Alto. Stanley Peters is professor of linguistics and symbolic systems at Stanford University and is director of the Center for the Study of Language and Information.