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High-dimensional distributed semantic spaces for utterances ...
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How Lexical Gold Standards Have Effects On The Usefulness Of Text Analysis Tools For Digital Scholarship ...
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Text Mining for Processing Interview Data in Computational Social Science ...
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A proposal to use distributional models to analyse dolphin vocalization
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The Language of Smell: Connecting Linguistic and Psychophysical Properties of Odor Descriptors ...
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Inferring the location of authors from words in their texts ...
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Abstract:
For the purposes of computational dialectology or other geographically bound text analysis tasks, texts must be annotated with their or their authors' location. Many texts are locatable through explicit labels but most have no explicit annotation of place. This paper describes a series of experiments to determine how positionally annotated microblog posts can be used to learn location-indicating words which then can be used to locate blog texts and their authors. A Gaussian distribution is used to model the locational qualities of words. We introduce the notion of placeness to describe how locational words are. We find that modelling word distributions to account for several locations and thus several Gaussian distributions per word, defining a filter which picks out words with high placeness based on their local distributional context, and aggregating locational information in a centroid for each text gives the most useful results. The results are applied to data in the Swedish language. ... : 8 pages. Presented at NoDaLiDa: the 2015 Nordic Conference on Computational Linguistics ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; H.3.1; I.2.7
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URL: https://dx.doi.org/10.48550/arxiv.1612.06671 https://arxiv.org/abs/1612.06671
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New Measures to Investigate Term Typology by Distributional Data
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Semantic Space Models for Profiling Reputation of Corporate Entities
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CLEF 2012: Information Access meets Multilinguality, Multimodality, and Visual Analytics
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Report on the Fourth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR 11)
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Technical Requirements For Knowledge Representation For Attitude Mining On A Realistic Scale
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Features for modelling characteristics of conversations : Notebook for PAN at CLEF 2012
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Frontiers, Challenges, and Opportunities for Information Retrieval – Report from SWIRL 2012, The Second Strategic Workshop on Information Retrieval in Lorne
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Profiling Reputation of Corporate Entities in Semantic Space : Notebook for RepLab at CLEF 2012
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Report on the Third Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR), Toronto, Canada
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