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    ACL
    2015
    21views Computational Linguistics» more  ACL 2015»
    Compositional Vector Space Models for Knowledge Base Completion
    9 years 11 months ago
    Compositional Vector Space Models for Knowledge Base Completion
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    Knowledge base (KB) completion adds new facts to a KB by making inferences from existing facts, for example by inferring with high likelihood nationality(X,Y) from bornIn(X,Y). Mo...
    Arvind Neelakantan, Benjamin Roth, Andrew McCallum
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    ACL
    2015
    17views Computational Linguistics» more  ACL 2015»
    Document Level Time-anchoring for TimeLine Extraction
    9 years 11 months ago
    Document Level Time-anchoring for TimeLine Extraction
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    This paper investigates the contribution of document level processing of timeanchors for TimeLine event extraction. We developed and tested two different systems. The first one i...
    Egoitz Laparra, Itziar Aldabe, German Rigau
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    114
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    ACL
    2015
    16views Computational Linguistics» more  ACL 2015»
    String-to-Tree Multi Bottom-up Tree Transducers
    9 years 11 months ago
    String-to-Tree Multi Bottom-up Tree Transducers
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    We achieve significant improvements in several syntax-based machine translation experiments using a string-to-tree variant of multi bottom-up tree transducers. Our new parameteri...
    Nina Seemann, Fabienne Braune, Andreas Maletti
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    ACL
    2015
    22views Computational Linguistics» more  ACL 2015»
    Orthogonality of Syntax and Semantics within Distributional Spaces
    9 years 11 months ago
    Orthogonality of Syntax and Semantics within Distributional Spaces
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    A recent distributional approach to wordanalogy problems (Mikolov et al., 2013b) exploits interesting regularities in the structure of the space of representations. Investigating ...
    Jeff Mitchell, Mark Steedman
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    ACL
    2015
    28views Computational Linguistics» more  ACL 2015»
    Compositional Semantic Parsing on Semi-Structured Tables
    9 years 11 months ago
    Compositional Semantic Parsing on Semi-Structured Tables
    Download  cs.stanford.edu
    Two important aspects of semantic parsing for question answering are the breadth of the knowledge source and the depth of logical compositionality. While existing work trades off ...
    Panupong Pasupat, Percy Liang
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    ACL
    2015
    38views Computational Linguistics» more  ACL 2015»
    Improving distant supervision using inference learning
    9 years 11 months ago
    Improving distant supervision using inference learning
    Download  www.researchgate.net
    Distant supervision is a widely applied approach to automatic training of relation extraction systems and has the advantage that it can generate large amounts of labelled data wit...
    Roland Roller, Eneko Agirre, Aitor Soroa, Mark Ste...
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    ACL
    2015
    13views Computational Linguistics» more  ACL 2015»
    Driving ROVER with Segment-based ASR Quality Estimation
    9 years 11 months ago
    Driving ROVER with Segment-based ASR Quality Estimation
    Download  aclweb.org
    ROVER is a widely used method to combine the output of multiple automatic speech recognition (ASR) systems. Though effective, the basic approach and its variants suffer from poten...
    Shahab Jalalvand, Matteo Negri, Daniele Falavigna,...
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    ACL
    2015
    19views Computational Linguistics» more  ACL 2015»
    Co-Simmate: Quick Retrieving All Pairwise Co-Simrank Scores
    9 years 11 months ago
    Co-Simmate: Quick Retrieving All Pairwise Co-Simrank Scores
    Download  spiral.imperial.ac.uk
    Co-Simrank is a useful Simrank-like measure of similarity based on graph structure. The existing method iteratively computes each pair of Co-Simrank score from a dot product of tw...
    Weiren Yu, Julie A. McCann
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    113
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    ACL
    2015
    21views Computational Linguistics» more  ACL 2015»
    A Lexicalized Tree Kernel for Open Information Extraction
    9 years 11 months ago
    A Lexicalized Tree Kernel for Open Information Extraction
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    In contrast with traditional relation extraction, which only considers a fixed set of relations, Open Information Extraction (Open IE) aims at extracting all types of relations f...
    Ying Xu, Christoph Ringlstetter, Mi-Young Kim, Grz...
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    99
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    ACL
    2015
    32views Computational Linguistics» more  ACL 2015»
    Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
    9 years 11 months ago
    Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
    Download  www.cs.cmu.edu
    Spoken dialogue systems (SDS) are rapidly appearing in various smart devices (smartphone, smart-TV, in-car navigating system, etc). The key role in a successful SDS is a spoken la...
    Yun-Nung Chen
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