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Top-down Tree Long Short-Term Memory Networks
Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have been successfully applied to a variety of sequence modeling tasks. In this paper...
View Book →Journal of japanese linguistics
No description available....
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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...
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Creating Causal Embeddings for Question Answering with Minimal Supervision
A common model for question answering (QA) is that a good answer is one that is closely related to the question, where relatedness is often determined using general-purpose lexical models such as word...
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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 →Psychological Report
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View Book →Papers from the ... International Conference on Historical Linguistics
No description available....
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Grammatical change : origins, nature, outcomes
xi, 384 p. : 24 cm...
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Entropy and Graph Based Modelling of Document Coherence using Discourse Entities: An Application
We present two novel models of document coherence and their application to information retrieval (IR). Both models approximate document coherence using discourse entities, e.g. the subject or object o...
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 →Studies in Income and Wealth
No description available....
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A comparative morphology of trichobothrial bases in araneoid spiders and its significance for the ph
Available on Internet Archive....
View Book →Linguistic Complexity
No description available....
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Corporate reorganization and bankruptcy : legal and financial materials
Includes index...
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Multimodal Pivots for Image Caption Translation
We present an approach to improve statistical machine translation of image descriptions by multimodal pivots defined in visual space. The key idea is to perform image retrieval over a database of imag...
View Book →Analysis of Wisconsin Income
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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...
View Book →Bulletin
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View Book →Reprint - Institute for Research on Poverty
No description available....
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Faster R-CNN Features for Instance Search
Image representations derived from pre-trained Convolutional Neural Networks (CNNs) have become the new state of the art in computer vision tasks such as instance retrieval. This work explores the sui...
View Book →The Sensitivity of Measured Comprehensive Income Inequality to Aggregation, Reranking and Underrepor
No description available....
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...
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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ERIC ED395516: Constructivism, Optimality Theory and Language Acquisition. The Shapes We Make in Eac
This paper identifies a feature of human brain neural nets that may be described as the principle of ease of processing (PEP), and that, it is argued, is the primary force guiding a learner towards a ...
View Book →Washington Administrative Code
No description available....
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Coherent Dialogue with Attention-based Language Models
We model coherent conversation continuation via RNN-based dialogue models equipped with a dynamic attention mechanism. Our attention-RNN language model dynamically increases the scope of attention on ...
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Visual Reranking with Improved Image Graph
This paper introduces an improved reranking method for the Bag-of-Words (BoW) based image search. Built on [1], a directed image graph robust to outlier distraction is proposed. In our approach, the r...
View Book →The Learnability of Metrical Phonology
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View Book →Jerusalem Conference on Information Technology
No description available....
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Bankruptcy and corporate reorganization : legal and financial materials
xxxiv, 670 pages : 26 cm...
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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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 →Watershed Rating Criteria for Non-point Sources of Pollution
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View Book →Direct taxation, transfers and re-ranking
First published in 1985...
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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 →Decomposing changes in income inequality into vertical and horizontal redistribution and reranking,
First published in 2005...
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Scalable domain adaptation of convolutional neural networks
Convolutional neural networks (CNNs) tend to become a standard approach to solve a wide array of computer vision problems. Besides important theoretical and practical advances in their design, their s...
View Book →assesing the redistribution efect of fiscal policy
No description available....
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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...
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Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems
Open-domain human-computer conversation has attracted much attention in the field of NLP. Contrary to rule- or template-based domain-specific dialog systems, open-domain conversation usually requires ...
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StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation
Existing open-domain human-computer conversation systems are typically passive: they either synthesize or retrieve a reply provided a human-issued utterance. It is generally presumed that humans shoul...
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...
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