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Showing 1 to 17 of 17 for “"Retrieval models"”.
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Improve KL -Divergence Language Models in Information Retrieval Using Corpus Local Structures
… different perspectives and proposes several new models to address the existing problems in KL-divergence language models. It results in more effective retrieval models, which should potentially benefit all retrieval applications.
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Anticipating and resolving ad hoc information needs during discourse
… low-data techniques to train generative language models, and find that pre-training with search engine queries leads to more precise questions but continuous prefix tuning offers mixed results. Second, we investigate how retrieval models perform for anticipating and resolving ad hoc information …
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Probability models for information retrieval based on divergence from randomness
… suitable for the construction of term-weighting models of Information Retrieval. Our term-weighting functions are created within a general framework made up of three components. Each of the three components is built independently from the others. We obtain the term-weighting functions from the …
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User-Centered Adaptive Information Retrieval
Information retrieval systems are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users. Personalization is expected to break this deficiency and significantly improve …
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ASSESSING PERFORMANCE OF NCEP RAPID REFRESH MODEL TO PREDICT BOUNDARY LAYER PROPERTIES
… (PBL) since relative humidity can affect aerosol retrieval. Satellite retrievals of Relative Humidity are extremely complicated since they need to resolve 1km vertical resolution for temperature and water vapor. The AIRS hyperspectral sensor may be able to retrieve relative humidity with 20% RMSE …
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Statistical Modeling to Information Retrieval for Searching from Big Text Data and Higher Order Inference for Reliability
… two research projects: probabilistic information retrieval modeling and third-order inference on reliability. In the first part of this dissertation, two research topics in the information retrieval are carried out and experimented on large-scale text data set. First, we conduct an in-depth study …
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Improving the effectiveness of language modeling approaches to information retrieval: bridging the theory-effectiveness gap
… of a search engine is mainly determined by its retrieval model which formally specifies how each document matches a user's query. Improving the effectiveness of general retrieval models has been a long-standing difficult challenge in information retrieval research, yet is also a fundamentally …
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Revealing the Nature of Exoplanetary Atmospheres
… generalisation of common 1D exoplanet atmosphere retrieval models to include 2D properties can break cloud-chemistry degeneracies. This algorithm, implemented by a new atmospheric retrieval code, POSEIDON, enables precise constraints on the chemistry, cloud properties, and temperature structure of …
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A model for information retrieval driven by conceptual spaces
A retrieval model describes the transformation of a query into a set of documents. The question is: what drives this transformation? For semantic information retrieval type of models this transformation is driven by the content and structure of the semantic models. In this case, Knowledge …
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THE LATERALIZATION OF THE WORD FREQUENCY EFFECT
… proposals of multiple lexicons in lexical retrieval models. The first was a small-n experiment varying visual angle of presentation, signal to noise ratios, visual field and word class (noun/verb) while using high frequency word and nonword items. The purpose of this experiment was to …
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L2 Representations and Processing of Chinese Nominal Phrases by Speakers of Classifier and Non-Classifier Languages
… (FRH; Lardiere, 2009), and the Cue-Based Retrieval Models (CBRMs; Cunnings, 2017). This thesis aims to examine the central question by testing L2 representations and processing of Chinese nominal phrases, an area that has received scant attention in existing research. We propose that L2 …
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Retrieval of research-level mathematics via joint modelling of text and types
Recent work in Mathematical Information Retrieval (MIR) emphasises the retrieval of sym- bolic formulae but ignores their interactions with the text. However, mathematicians think and communicate ideas that take the form of mathematical objects and structures using both modalities. An important …
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Curiosity driven search experiences
… seeking (IS) and interactive information retrieval models (IIR) have failed to represent them because they were created observing people in work related scenarios, and assuming that search is always a rational decision making process and with an extrinsic utilitarian value. The research …
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Towards high fidelity mapping of global inland water quality using earth observation data
… developing globally applicable water quality retrieval models using Earth Observation data for freshwater systems. Eutrophication and increasing prevalence of potentially toxic algal blooms among global inland water bodies have become a major ecological concersn and require direct attention. …
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Opinion driven decision support system
… of this thesis, we investigate the use of robust retrieval models and extensions of it for the task of Opinion-Based Entity Ranking. Our evaluation, in two different domains, shows that the proposed methods can be directly applied to rank different types of entities for which opinions are …
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Generative models meet similarity search: efficient, heuristic-free and robust retrieval
… learning-to-hash methods and explainable retrieval models. We first identify and discuss the various aspects where the framework of generative modeling can be used to improve the model designs and generalization of the hashing methods. Then we show that these generative hashing methods …
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Contextual Information Retrieval from the WWW
Contextual information retrieval (CIR) is a critical technique for today’s search engines in terms of facilitating queries and returning relevant information. Despite its importance, little progress has been made in its application, due to the difficulty of capturing and representing contextual …