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Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation ...
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Text mining for online mental health state and personality assessment
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The impact of emotional signals on credibility assessment
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In: J Assoc Inf Sci Technol (2021)
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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers
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In: Natural Language Processing and Information Systems (2020)
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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers
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Experimental IR meets multilinguality, multimodality, and interaction: 10th international conference of the CLEF association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, proceedings
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Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track
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In: DTIC (2014)
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| 9 |
Query refinement for patent prior art search
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Abstract:
A patent is a contract between the inventor and the state, granting a limited time period to the inventor to exploit his invention. In exchange, the inventor must put a detailed description of his invention in the public domain. Patents can encourage innovation and economic growth but at the time of economic crisis patents can hamper such growth. The long duration of the application process is a big obstacle that needs to be addressed to maximize the benefit of patents on innovation and economy. This time can be significantly improved by changing the way we search the patent and non-patent literature.Despite the recent advancement of general information retrieval and the revolution of Web Search engines, there is still a huge gap between the emerging technologies from the research labs and adapted by major Internet search engines, and the systems which are in use by the patent search communities.In this thesis we investigate the problem of patent prior art search in patent retrieval with the goal of finding documents which describe the idea of a query patent. A query patent is a full patent application composed of hundreds of terms which does not represent a single focused information need. Other relevance evidences (e.g. classification tags, and bibliographical data) provide additional details about the underlying information need of the query patent. The first goal of this thesis is to estimate a uni-gram query model from the textual fields of a query patent. We then improve the initial query representation using noun phrases extracted from the query patent. We show that expansion in a query-dependent manner is useful.The second contribution of this thesis is to address the term mismatch problem from a query formulation point of view by integrating multiple relevance evidences associated with the query patent. To do this, we enhance the initial representation of the query with the term distribution of the community of inventors related to the topic of the query patent. We then build a lexicon using classification tags and show that query expansion using this lexicon and considering proximity information (between query and expansion terms) can improve the retrieval performance. We perform an empirical evaluation of our proposed models on two patent datasets. The experimental results show that our proposed models can achieve significantly better results than the baseline and other enhanced models.
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URL: http://doc.rero.ch/record/211490/files/2014INFO004.pdf
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Concept-based semantic annotation, indexing and retrieval of office-like document units
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A Language Modelling Approach to Linking Criminal Styles with Offender Characteristics
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| 14 |
Evaluation of term-based queries using possibilistic ontologies
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In: Soft Computing for Information Retrieval on the Web ; https://hal.archives-ouvertes.fr/hal-03367400 ; Herrera-Viedma, Enrique; Pasi, Gabriella; Crestani, Fabio. Soft Computing for Information Retrieval on the Web, 197, Springer-Verlag, pp.135-160, 2005, Studies in Fuzziness and Soft Computing book series (STUDFUZZ), ⟨10.1007/3-540-31590-X_8⟩ ; https://link.springer.com/chapter/10.1007/3-540-31590-X_8 (2005)
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Suicide risk assessment on social media: USI-UPF at the CLPsych 2019 shared task
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