Constellation: A Visualization Tool for Linguistic Queries from MindNet
نویسندگان
چکیده
Constellation is a visualization system for the results of queries from the MindNet natural language semantic network. Constellation is targeted at helping MindNet’s creators and users refine their algorithms, as opposed to understanding the structure of language. We designed a special-purpose graph layout algorithm which exploits higher-level structure in addition to the basic node and edge connectivity. Our layout prioritizes the creation of a semantic space to encode plausibility instead of traditional graph drawing metrics like minimizing edge crossings. We make careful use of several perceptual channels both to minimize the visual impact of edge crossings and to emphasize highlighted constellations of nodes and edges.
منابع مشابه
Geographical Visualization of Search Results in Historical Corpora
We present ANNISVis, a webapp for comparative visualization of geographical distribution of linguistic data, as well as a sample deployment for a corpus of Middle High German texts. Unlike existing geographical visualization solutions, which work with pre-existing data sets, or are bound to specific corpora, ANNISVis allows the user to formulate multiple ad-hoc queries and visualizes them on a ...
متن کاملGenerating & Interpreting Metaphors with NETMET
The structural theory of metaphor (STM) uses techniques from possible worlds semantics to generate and interpret metaphors. STM is presented in detail in The Logic of Metaphor: Analogous Parts of Possible Worlds (Steinhart, 2001). STM is based on Kittay’s semantic field theory of metaphor (1987) and ultimately on Black’s interactionist theory (1962, 1979). STM uses an intensional calculus to sp...
متن کاملMindNet: An Automatically-Created Lexical Resource
We will demonstrate MindNet, a lexical resource built automatically by processing text. We will present two forms of MindNet: as a static lexical resource, and, as a toolkit which allows MindNets to be built from arbitrary text. We will also introduce a web-based interface to MindNet lexicons (MNEX) that is intended to make the data contained within MindNets more accessible for exploration. Bot...
متن کاملMindNet: Acquiring and Structuring Semantic Information from Text
As a lexical knowledge base constructed automatically from the definitions and example sentences in two machine-readable dictionaries (MRDs), MindNet embodies several features that distinguish it from prior work with MRDs. It is, however, more than this static resource alone. MindNet represents a general methodology for acquiring, structuring, accessing, and exploiting semantic information from...
متن کاملAutomatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country") from text documents. An important challenge in information extraction is the labeling of training data which is usually done manually and is therefore very laborious and in certain cases impractical. This paper introduces a new...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1999