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    ACL
    2015
    25views Computational Linguistics» more  ACL 2015»
    MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity
    8 years 13 days ago
    MultiGranCNN: An Architecture for General Matching of Text Chunks on Multiple Levels of Granularity
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    We present MultiGranCNN, a general deep learning architecture for matching text chunks. MultiGranCNN supports multigranular comparability of representations: shorter sequences in ...
    Wenpeng Yin, Hinrich Schütze
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    ACL
    2015
    22views Computational Linguistics» more  ACL 2015»
    Early and Late Combinations of Criteria for Reranking Distributional Thesauri
    8 years 13 days ago
    Early and Late Combinations of Criteria for Reranking Distributional Thesauri
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    In this article, we first propose to exploit a new criterion for improving distributional thesauri. Following a bootstrapping perspective, we select relations between the terms o...
    Olivier Ferret
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    ACL
    2015
    28views Computational Linguistics» more  ACL 2015»
    The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters
    8 years 13 days ago
    The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters
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    Human labeled corpus is indispensable for the training of supervised word segmenters. However, it is time-consuming and laborintensive to label corpus manually. During the process...
    Dakui Zhang, Yu Mao, Yang Liu, Hanshi Wang, Chuyua...
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    ACL
    2015
    24views Computational Linguistics» more  ACL 2015»
    Neural Responding Machine for Short-Text Conversation
    8 years 13 days ago
    Neural Responding Machine for Short-Text Conversation
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    We propose Neural Responding Machine (NRM), a neural network-based response generator for Short-Text Conversation. NRM takes the general encoderdecoder framework: it formalizes th...
    Lifeng Shang, Zhengdong Lu, Hang Li
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    ACL
    2015
    38views Computational Linguistics» more  ACL 2015»
    Learning to Explain Entity Relationships in Knowledge Graphs
    8 years 13 days ago
    Learning to Explain Entity Relationships in Knowledge Graphs
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    We study the problem of explaining relationships between pairs of knowledge graph entities with human-readable descriptions. Our method extracts and enriches sentences that refer ...
    Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maar...
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    ACL
    2015
    18views Computational Linguistics» more  ACL 2015»
    Sparse Overcomplete Word Vector Representations
    8 years 13 days ago
    Sparse Overcomplete Word Vector Representations
    Download  www.cs.cmu.edu
    Current distributed representations of words show little resemblance to theories of lexical semantics. The former are dense and uninterpretable, the latter largely based on famili...
    Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chr...
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    ACL
    2015
    29views Computational Linguistics» more  ACL 2015»
    Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
    8 years 13 days ago
    Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
    Download  home.ustc.edu.cn
    In this paper, we propose a general framework to incorporate semantic knowledge into the popular data-driven learning process of word embeddings to improve the quality of them. Un...
    Quan Liu, Hui Jiang 0001, Si Wei, Zhen-Hua Ling, Y...
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    ACL
    2015
    37views Computational Linguistics» more  ACL 2015»
    Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation
    8 years 13 days ago
    Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation
    Download  nlp.ict.ac.cn
    The inability to model long-distance dependency has been handicapping SMT for years. Specifically, the context independence assumption makes it hard to capture the dependency bet...
    Heng Yu, Xuan Zhu
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    ACL
    2015
    36views Computational Linguistics» more  ACL 2015»
    Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation
    8 years 13 days ago
    Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation
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    Yuichiro Sawai, Hiroyuki Shindo, Yuji Matsumoto
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    ACL
    2015
    32views Computational Linguistics» more  ACL 2015»
    Vector-space calculation of semantic surprisal for predicting word pronunciation duration
    8 years 13 days ago
    Vector-space calculation of semantic surprisal for predicting word pronunciation duration
    Download  aclweb.org
    In order to build psycholinguistic models of processing difficulty and evaluate these models against human data, we need highly accurate language models. Here we specifically co...
    Asad B. Sayeed, Stefan Fischer, Vera Demberg
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