retrieval models
IRGAN: a minimax game for unifying generative and discriminative information retrieval models
... Furthermore, self-contrastive estimation (SCE) [14], a special case of NCE when the noise is directly sample from the current (or a very recent) version of the model. It is proved that the gradient of SCE matches the one ...
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ReQA: An Evaluation for End to End Answer Retrieval Models
... with models now surpassing human ...answer retrieval models trained end-to-end, bypass- ing the typical document retrieval ...introduce Retrieval Question- Answering (ReQA), a benchmark ...
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A Survey of Information Retrieval Models for Malayalam Language Processing
... NikeshP.L.et.al[6] describes about an English-Malayalam information retrieval system. Here the system retrieves Malayalam documents in response to query in English. If the input is in English a translation process ...
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A Taxonomy of Information Retrieval Models and Tools
... mation retrieval in terms of tools and ...formation retrieval model, and the same infor- mation retrieval model can be exploited to im- plement different information retrieval ...a ...
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How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
... the retrieval models, we ob- serve that the DE model significantly outperforms both TFIDF baselines on all metrics across both ...differentiates models of different qual- ...
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Sentiment Retrieval using Generative Models
... sentiment retrieval models in the framework of generative language modeling, not only assuming query terms expressing a certain topic, but also assuming that the polarity of sen- timent interest is ...
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Models Performance Issues in Parallel Computing for Information Retrieval
... the models as per the search models in section ...passage retrieval: we chose the values of 11 and 1000 ...passage retrieval models for both partitioning ...passage retrieval ...
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Hilbert Exclusion : improved metric search through finite isometric embeddings
... CCS Concepts: rInformation systems → Data structures; Multidimensional range search; Proximity search; Database query processing; Information retrieval query processing; Retrieval models[r] ...
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A Full Text Retrieval System in a Digital Library Environment
... Information Retrieval (IR) methods, the retrieval process for information would be cum- bersome and ...and retrieval of ...information retrieval and to retrieve the relevant ...library ...
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Interactive Information Retrieval In Digital Environments Iris Xie (2008) pdf
... tion retrieval, especially interactive IR ...information retrieval models, such as Ingwersen’s (1992) cognitive model, Ingwersen and Järvelin’s (2005) integrated IS&R research framework, Belkin’s ...
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Topic based language models for ad hoc information retrieval
... The general trend for both variants of topic based smooth- ing, LDA-JM and LDA-BS, that emerged from this set of results showed that when k = 2, the IR performance dropped substantially below the standard models, ...
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Research on Equipment Technical Data Interactive Publication Technology
... Data interactive editing mainly implements structured editing and interactive definition of the technical data. This paper edits data modules through data model driven based method, develops data model driven based ...
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Statistical Machine Learning For Information Retrieval Adam Berger pdf
... The promising empirical results reported herein do not indicate that “classic” IR tech- niques, like refined term-weighting formulae, query expansion, (pseudo)-relevance feedback, and stopword lists, are unnecessary. The ...
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Review of Intent Diversity in Information Retrieval : Approaches, Models and Trends
... information retrieval is ...and models done for this ...and models that mostly used to detect user intention in information retrieval in four years ...
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An Improvement in Cross-Language Document Retrieval Based on Statistical Models
... However, another problem introduced based on this approach is word (term) disambiguation, because a word may have multiple possible translations [3]. Significant efforts have been devoted to this problem. Davis and Ogden ...
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Cache Augmented Latent Topic Language Models for Speech Retrieval
... topic models to infer a topic mixture of the test document (soft clus- tering) with significant recognition error reductions (Heidel et ...topic models with and with- out a dynamic cache to good effect as a ...
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Cross lingual Information Retrieval Using Hidden Markov Models
... The remaining performance gap between mono-lingual and cross-lingual IR is likely to be caused by the incompleteness o f the bilingual lexicon used for query translation, i.e., missing t[r] ...
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Information Retrieval Data Structures And Algorithms FRAKES WB (2004) pdf
... I exaggerated, of course, when I said that we are still using ancient technology for information retrieval. The basic concept of indexes--searching by keywords--may be the same, but the implementation is a world ...
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Assessing the similarity of cyanide-free gold leaching process: a case-based reasoning application
... information retrieval tool using case-based ...resulting retrieval tool (LeachSim) was able to rank the scientific articles according to their similarity with the user’s research ...
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