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End-to-End Neural Ad-hoc Ranking with Kernel Pooling
TLDR
This paper proposes K-NRM, a kernel based neural model for document ranking. Expand
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Transactional storage for geo-replicated systems
TLDR
We describe the design and implementation of Walter, a key-value store that supports transactions and replicates data across distant sites, while providing strong guarantees within each site. Expand
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Semi-supervised sequence tagging with bidirectional language models
TLDR
We propose a general semi-supervised approach for adding pre-trained context embeddings from bidirectional language models to NLP systems and apply it to sequence labeling tasks. Expand
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Piccolo: Building Fast, Distributed Programs with Partitioned Tables
TLDR
Piccolo is a data-centric programming model for writing parallel in-memory applications in data centers. Expand
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Building fast, distributed programs with partitioned tables
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Content-Based Citation Recommendation
TLDR
We present a content-based citation recommendation method which remains robust when metadata is missing for query documents, enabling researchers to do an effective literature search early in their research cycle or during the peer review process. Expand
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Transaction chains: achieving serializability with low latency in geo-distributed storage systems
TLDR
We show that it is possible to obtain both serializable transactions and low latency, under two conditions. Expand
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Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding
TLDR
This paper introduces Explicit Semantic Ranking (ESR), a new ranking technique that leverages knowledge graph embedding. Expand
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Extracting Scientific Figures with Distantly Supervised Neural Networks
TLDR
In this paper, we induce high-quality labels for the task of figure extraction in a large number of scientific documents, with no human intervention. Expand
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The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction
TLDR
This paper describes our submission for the ScienceIE shared task (SemEval- 2017 Task 10) on entity and relation extraction from scientific papers. Expand
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