Semantic processing

Results: 1382



#Item
201

Using Word Sense Disambiguation for Semantic Role Labeling Wanxiang Che and Ting Liu Research Center for Information Retrieval MOE-Microsoft Key Laboratory of Natural Language Processing and Speech School of Computer Sci

Add to Reading List

Source URL: ir.hit.edu.cn

Language: English - Date: 2013-09-25 10:29:37
    202Google Search / Semantic Web / Natural language processing / Freebase / Predicate / Prior probability / Knowledge representation and reasoning / FO / Resource Description Framework / Argument / Information extraction / Knowledge Graph

    Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion ∗ Xin Luna Dong , Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, †

    Add to Reading List

    Source URL: www.cs.technion.ac.il

    Language: English - Date: 2016-01-27 19:36:25
    203Linguistics / Computational linguistics / Grammar / Semantics / Natural language processing / Dependency grammar / Predicate / Word-sense disambiguation / Semantic role labeling / Argument / PropBank / Subject

    Predicate Argument Structure Analysis using Partially Annotated Corpora Koichiro Yoshino, Shinsuke Mori, Tatsuya Kawahara School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo-ku, Kyoto, Japan yoshino@

    Add to Reading List

    Source URL: www.ar.media.kyoto-u.ac.jp

    Language: English - Date: 2013-10-12 00:30:09
    204Statistical natural language processing / Natural language processing / Cluster analysis / Data mining / Geostatistics / Tfidf / Information retrieval / Hierarchical clustering / Latent semantic analysis / Latent Dirichlet allocation / Recommender system

    Community Clustering: Leveraging an Academic Crowd to Form Coherent Conference Sessions Paul Andr´e,∗ Haoqi Zhang,† Juho Kim,‡ Lydia Chilton,§ Steven P. Dow,∗ and Robert C. Miller‡ ∗ Carnegie Mellon

    Add to Reading List

    Source URL: spdow.ucsd.edu

    Language: English - Date: 2015-11-15 14:54:33
    205

    Static validation of dynamically generated HTML documents based on abstract parsing and semantic processing Hyunha Kim1,? , Kyung-Goo Doh1,? , and David A. Schmidt2,?? 1

    Add to Reading List

    Source URL: santos.cis.ksu.edu

    Language: English - Date: 2013-07-03 15:53:03
      206

      ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation Jiang Zhao, Man Lan∗ , Jun Feng Tian Shanghai Key Laboratory of Multidimensional Information Processing Depa

      Add to Reading List

      Source URL: alt.qcri.org

      Language: English
        207Computing / Knowledge representation / Computational linguistics / Information science / Semantic Web / Linguistics / Open data / Natural language processing / BabelNet / UBY / WordNet / Linguistic Linked Open Data

        Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0 Maud Ehrmann1 , Francesco Cecconi1 , Daniele Vannella1 , John Mc Crae2 , Philipp Cimiano2 , Roberto Navigli1 1 Department of Computer Science, Sapi

        Add to Reading List

        Source URL: john.mccr.ae

        Language: English - Date: 2016-02-23 09:21:41
        208Markov models / Social information processing / Wikipedia / Hyperlink / Semantic similarity / PageRank

        Ashwin Paranjape Jure Leskovec Stanford University

        Add to Reading List

        Source URL: cs.stanford.edu

        Language: English - Date: 2015-03-31 11:49:44
        209Linguistics / Lexical semantics / Computational linguistics / Semantics / Knowledge representation / Natural language processing / WordNet / Word-sense disambiguation / Word sense / SemEval / Hyponymy and hypernymy / Synonym

        Discovering Semantic Regularity in Lexical Resources Wim Peters Department of Computer Science University of Sheffield U.K.

        Add to Reading List

        Source URL: kilgarriff.co.uk

        Language: English - Date: 2014-03-09 16:16:06
        210Artificial intelligence / Machine learning / Learning / Natural language processing / Multivariate statistics / Artificial neural networks / Statistics / Semantics / Word embedding / Latent semantic analysis / Word2vec / Principal component analysis

        Rehabilitation of Count-based Models for Word Vector Representations R´ emi Lebret1,2 and Ronan Collobert1 Idiap Research Institute, Martigny, Switzerland

        Add to Reading List

        Source URL: ronan.collobert.com

        Language: English - Date: 2015-08-30 20:00:03
        UPDATE