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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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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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Abstract:
There is an increasing amount of structure on the Web as a result of modern Web lan- guages, user tagging and annotation, and emerging robust NLP tools. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by en- hancing the depth of analysis of today?s systems. Currently, we have only started exploring the possibilities and only begin to understand how these valuable semantic cues can be put to fruitful use. The workshop had an interactive format consisting of keynotes, boasters and posters, breakout groups and reports, and a final discussion, which was prolonged into the evening. There was a strong feeling that we made substantial progress. Specifically, each of the breakout groups contributed to our understanding of the way forward. First, annotations and use cases come in many different shapes and forms depending on the domain at hand, but at a higher level there are commonalities in annotation tools, indexing methods, user interfaces, and general methodology. Second, there is a framework emerging to view annota- tion as (1) a linking procedure, connecting (2) an analysis of information objects with (3) a semantic model of some sort, expressing relations that contribute to (4) a task of interest to end users. Third, we should look at complex tasks that cannot be comprehensible articulated in a few keywords, and embrace interaction both to incrementally refine the search request and to explore the results at various stages, guided by the semantic structure. ; QC 20131016
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Keyword:
Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)
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URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-116212
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