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    EMNLP
    2007
    250views Natural Language Processing» more  EMNLP 2007»
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
    13 years 6 months ago
    Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
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    This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
    Jun Suzuki, Akinori Fujino, Hideki Isozaki
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    EMNLP
    2007
    138views Natural Language Processing» more  EMNLP 2007»
    Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
    13 years 6 months ago
    Part-of-Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
    Download  acl.ldc.upenn.edu
    We demonstrate an approach for inducing a tagger for historical languages based on existing resources for their modern varieties. Tags from Present Day English source text are pro...
    Taesun Moon, Jason Baldridge
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    EMNLP
    2007
    150views Natural Language Processing» more  EMNLP 2007»
    Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
    13 years 6 months ago
    Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
    Download  www.aclweb.org
    Youzheng Wu, Ruiqiang Zhang, Xinhui Hu, Hideki Kas...
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    EMNLP
    2007
    122views Natural Language Processing» more  EMNLP 2007»
    Using Foreign Inclusion Detection to Improve Parsing Performance
    13 years 6 months ago
    Using Foreign Inclusion Detection to Improve Parsing Performance
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    Inclusions from other languages can be a significant source of errors for monolingual parsers. We show this for English inclusions, which are sufficiently frequent to present a ...
    Beatrice Alex, Amit Dubey, Frank Keller
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    EMNLP
    2007
    114views Natural Language Processing» more  EMNLP 2007»
    Compressing Trigram Language Models With Golomb Coding
    13 years 6 months ago
    Compressing Trigram Language Models With Golomb Coding
    Download  acl.ldc.upenn.edu
    Trigram language models are compressed using a Golomb coding method inspired by the original Unix spell program. Compression methods trade off space, time and accuracy (loss). The...
    Kenneth Church, Ted Hart, Jianfeng Gao
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    EMNLP
    2007
    93views Natural Language Processing» more  EMNLP 2007»
    Characterizing the Errors of Data-Driven Dependency Parsing Models
    13 years 6 months ago
    Characterizing the Errors of Data-Driven Dependency Parsing Models
    Download  acl.ldc.upenn.edu
    We present a comparative error analysis of the two dominant approaches in datadriven dependency parsing: global, exhaustive, graph-based models, and local, greedy, transition-base...
    Ryan T. McDonald, Joakim Nivre
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    EMNLP
    2007
    133views Natural Language Processing» more  EMNLP 2007»
    Finding Good Sequential Model Structures using Output Transformations
    13 years 6 months ago
    Finding Good Sequential Model Structures using Output Transformations
    Download  acl.ldc.upenn.edu
    In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the model...
    Edward Loper
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    EMNLP
    2007
    125views Natural Language Processing» more  EMNLP 2007»
    Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
    13 years 6 months ago
    Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
    Download  www.cs.sfu.ca
    In this technical report, we propose the use of Lexicalized Tree-Adjoining Grammar (LTAG) formalism as an important additional source of features for the Semantic Role Labeling (S...
    Yudong Liu, Anoop Sarkar
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    EMNLP
    2007
    107views Natural Language Processing» more  EMNLP 2007»
    A Discriminative Learning Model for Coordinate Conjunctions
    13 years 6 months ago
    A Discriminative Learning Model for Coordinate Conjunctions
    Download  acl.ldc.upenn.edu
    We propose a sequence-alignment based method for detecting and disambiguating coordinate conjunctions. In this method, averaged perceptron learning is used to adapt the substituti...
    Masashi Shimbo, Kazuo Hara
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    EMNLP
    2007
    118views Natural Language Processing» more  EMNLP 2007»
    Modelling Compression with Discourse Constraints
    13 years 6 months ago
    Modelling Compression with Discourse Constraints
    Download  acl.ldc.upenn.edu
    Sentence compression holds promise for many applications ranging from summarisation to subtitle generation and subtitle generation. The task is typically performed on isolated sen...
    James Clarke, Mirella Lapata
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