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The Sensitivity of Measured Comprehensive Income Inequality to Aggregation, Reranking and Underrepor
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Grammatical change : origins, nature, outcomes
xi, 384 p. : 24 cm...
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Transition-based Parsing with Context Enhancement and Future Reward Reranking
This paper presents a novel reranking model, future reward reranking, to re-score the actions in a transition-based parser by using a global scorer. Different to conventional reranking parsing, the mo...
View Book →Direct taxation, transfers and re-ranking
First published in 1985...
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Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation
We present an approach to structured prediction from bandit feedback, called Bandit Structured Prediction, where only the value of a task loss function at a single predicted point, instead of a correc...
View Book →Relevance Ranking for Vertical Search Engines
In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches read...
View Book →Papers from the ... International Conference on Historical Linguistics
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DTIC ADA618633: Query Reformulation for Clinical Decision Support Search
One of the tasks a Clinical Decision Support (CDS) system is designed to solve is retrieving the most relevant and actionable literature for a given medical case report. In this work, we present a que...
View Book →Psychological Report
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View Book →The Learnability of Metrical Phonology
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View Book →Advances in Information Retrieval
This book constitutes the refereed proceedings of the 33rd annual European Conference on Information Retrieval Research, ECIR 2011, held in Dublin, Ireland, in April 2010. The 45 revised full papers p...
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Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Senten
The natural language generation (NLG) component of a spoken dialogue system (SDS) usually needs a substantial amount of handcrafting or a well-labeled dataset to be trained on. These limitations add s...
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DTIC ADA631230: Summarization: Using MMR for Diversity-Based Reranking and Evaluating Summaries
This paper 1 develops a method for combining queryrelevance with information-novelty in the context of text retrieval and summarization. The Maximal Marginal Relevance (MMR) criterion strives to reduc...
View Book →Cohere Rerank API for Search Optimization
"Cohere Rerank API for Search Optimization" Unlock the next evolution in search technology with "Cohere Rerank API for Search Optimization." This comprehensive guide traces the remarkable journey from...
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DTIC ADA579319: DCU@TRECMed 2012: Using Ad-Hoc Baselines for Domain-Specific Retrieval
This paper describes the first participation of DCU in the TREC Medical Records Track (TRECMed) 2012. We performed initial experiments on the 2011 TRECMed data based on the BM25 retrieval model. Surpr...
View Book →Reprint - Institute for Research on Poverty
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Advances in distributed agent-based retrieval tools
1 online resource (x, 167 pages) :...
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Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
This year, the Nara Institute of Science and Technology (NAIST)'s submission to the 2015 Workshop on Asian Translation was based on syntax-based statistical machine translation, with the addition of a...
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Modelling and estimation of genotype by environment interactions for production traits in French dai
This article is from Genetics, Selection, Evolution : GSE , volume 44 . Abstract Background: Genotype by environment interactions are currently ignored in national genetic evaluations of dairy cattle....
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DTIC ADA460400: Statistical QA - Classifier vs. Re-Ranker: What's the Difference
In this paper, we show that we can obtain a good baseline performance for Question Answering (QA) by using only 4 simple features. Using these features, we contrast two approaches used for a Maximum E...
View Book →Watershed Rating Criteria for Non-point Sources of Pollution
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View Book →Journal of japanese linguistics
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View Book →Linguistic Complexity
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View Book →assesing the redistribution efect of fiscal policy
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Corporate reorganization and bankruptcy : legal and financial materials
Includes index...
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Where to Focus: Query Adaptive Matching for Instance Retrieval Using Convolutional Feature Maps
Instance retrieval requires one to search for images that contain a particular object within a large corpus. Recent studies show that using image features generated by pooling convolutional layer feat...
View Book →Jerusalem Conference on Information Technology
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View Book →Studies in Income and Wealth
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Addressing Community Question Answering in English and Arabic
This paper studies the impact of different types of features applied to learning to re-rank questions in community Question Answering. We tested our models on two datasets released in SemEval-2016 Tas...
View Book →Proceedings of the Third Workshop on Future Trends of Distributed Computing Systems, April 14-16, 19
Proceedings of the Third Workshop on Future Trends of Distributed Computing Systems, Taipei, Taiwan, April 1992. Papers touch such matters as architecture, modelling, programming, high speed networkin...
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DTIC ADA557359: Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques
Natural language understanding is a sub-field of natural language processing which builds automated systems to understand natural language. It is such an ambitious task that it sometimes is referred t...
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On Deep Representation Learning from Noisy Web Images
The keep-growing content of Web images may be the next important data source to scale up deep neural networks, which recently obtained a great success in the ImageNet classification challenge and rela...
View Book →Washington Administrative Code
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DTIC AD1011038: Large-Scale Partial-Duplicate Image Retrieval and Its Applications
The explosive growth of Internet Media (partial-duplicate/similar images, 3D objects, 3D models, etc.) sheds bright light on many promising applications in forensics, surveillance, 3D animation, mobil...
View Book →Analysis of Wisconsin Income
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View Book →Bulletin
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A Simple, Fast Diverse Decoding Algorithm for Neural Generation
In this paper, we propose a simple, fast decoding algorithm that fosters diversity in neural generation. The algorithm modifies the standard beam search algorithm by adding an inter-sibling ranking pe...
View Book →Cohere Rerank in Practice
"Cohere Rerank in Practice" "Cohere Rerank in Practice" is a comprehensive guide to the modern landscape of information retrieval and neural reranking systems, with a particular focus on the Cohere Re...
View Book →Decomposing changes in income inequality into vertical and horizontal redistribution and reranking,
First published in 2005...
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Query Reranking As A Service
The ranked retrieval model has rapidly become the de facto way for search query processing in client-server databases, especially those on the web. Despite of the extensive efforts in the database com...
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bioasq6_data.tar
Data regarding the top 100 documents retrieved using BM25, for the training, development and test sets of the 6-th BioASQ challenge, as used in the MSc thesis of G. Brokos [PDF] ....
View Book →Reranking of area sources in light of seasonal/regional emission factors and state/local needs
First published in 1989...
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