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    ACL
    2007
    110views Computational Linguistics» more  ACL 2007»
    A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments
    14 years 1 months ago
    A Feature Based Approach to Leveraging Context for Classifying Newsgroup Style Discussion Segments
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    On a multi-dimensional text categorization task, we compare the effectiveness of a feature based approach with the use of a stateof-the-art sequential learning technique that has ...
    Yi-Chia Wang, Mahesh Joshi, Carolyn Penstein Ros&e...
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    ACL
    2008
    133views Computational Linguistics» more  ACL 2008»
    Improving the Performance of the Random Walk Model for Answering Complex Questions
    14 years 1 months ago
    Improving the Performance of the Random Walk Model for Answering Complex Questions
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    Yllias Chali, Shafiq R. Joty
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    ACL
    2008
    139views Computational Linguistics» more  ACL 2008»
    Introduction to Computational Advertising
    14 years 1 months ago
    Introduction to Computational Advertising
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    Evgeniy Gabrilovich, Vanja Josifovski, Bo Pang
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    ACL
    2007
    106views Computational Linguistics» more  ACL 2007»
    On the role of context and prosody in the interpretation of 'okay'
    14 years 1 months ago
    On the role of context and prosody in the interpretation of 'okay'
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    We examine the effect of contextual and acoustic cues in the disambiguation of three discourse-pragmatic functions of the word okay. Results of a perception study show that contex...
    Agustín Gravano, Stefan Benus, Hector Chave...
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    ACL
    2007
    89views Computational Linguistics» more  ACL 2007»
    Disambiguating Between Generic and Referential "You" in Dialog
    14 years 1 months ago
    Disambiguating Between Generic and Referential "You" in Dialog
    Download  www.stanford.edu
    We describe an algorithm for a novel task: disambiguating the pronoun you in conversation. You can be generic or referential; finding referential you is important for tasks such ...
    Surabhi Gupta, Matthew Purver, Daniel Jurafsky
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    ACL
    2007
    113views Computational Linguistics» more  ACL 2007»
    Structured Models for Fine-to-Coarse Sentiment Analysis
    14 years 1 months ago
    Structured Models for Fine-to-Coarse Sentiment Analysis
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    In this paper we investigate a structured model for jointly classifying the sentiment of text at varying levels of granularity. Inference in the model is based on standard sequenc...
    Ryan T. McDonald, Kerry Hannan, Tyler Neylon, Mike...
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    ACL
    2008
    204views Computational Linguistics» more  ACL 2008»
    Interactive Visualization for Computational Linguistics
    14 years 1 months ago
    Interactive Visualization for Computational Linguistics
    Download  www.cs.toronto.edu
    Christopher Collins, Gerald Penn, M. Sheelagh T. C...
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    ACL
    2008
    138views Computational Linguistics» more  ACL 2008»
    FastSum: Fast and Accurate Query-based Multi-document Summarization
    14 years 1 months ago
    FastSum: Fast and Accurate Query-based Multi-document Summarization
    Download  www.aclweb.org
    We present a fast query-based multi-document summarizer called FastSum based solely on word-frequency features of clusters, documents and topics. Summary sentences are ranked by a...
    Frank Schilder, Ravikumar Kondadadi
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    ACL
    2008
    153views Computational Linguistics» more  ACL 2008»
    Pairwise Document Similarity in Large Collections with MapReduce
    14 years 1 months ago
    Pairwise Document Similarity in Large Collections with MapReduce
    Download  www.umiacs.umd.edu
    This paper presents a MapReduce algorithm for computing pairwise document similarity in large document collections. MapReduce is an attractive framework because it allows us to de...
    Tamer Elsayed, Jimmy J. Lin, Douglas W. Oard
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    ACL
    2008
    158views Computational Linguistics» more  ACL 2008»
    Multi-domain Sentiment Classification
    14 years 1 months ago
    Multi-domain Sentiment Classification
    Download  nlpr-web.ia.ac.cn
    This paper addresses a new task in sentiment classification, called multi-domain sentiment classification, that aims to improve performance through fusing training data from multi...
    Shoushan Li, Chengqing Zong
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