메뉴 건너뛰기




Volumn , Issue , 2015, Pages 1-11

SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; REGRESSION ANALYSIS; SOCIAL NETWORKING (ONLINE);

EID: 85122039577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (149)

References (50)
  • 2
    • 57349126313 scopus 로고    scopus 로고
    • Inter-coder agreement for computational linguistics
    • Artstein, R. and Poesio, M. (2008). Inter-coder agreement for computational linguistics. Computational Linguistics, 34(4).
    • (2008) Computational Linguistics , vol.34 , Issue.4
    • Artstein, R.1    Poesio, M.2
  • 3
    • 85013162644 scopus 로고    scopus 로고
    • HLTC-HKUST: A neural network paraphrase classifier using translation metrics, semantic roles and lexical similarity features
    • Bertero, D. and Fung, P. (2015). HLTC-HKUST: A neural network paraphrase classifier using translation metrics, semantic roles and lexical similarity features. In Proceedings of SemEval.
    • (2015) Proceedings of SemEval
    • Bertero, D.1    Fung, P.2
  • 4
    • 85122038172 scopus 로고    scopus 로고
    • RTM-DCU: Referential translation machines for semantic similarity
    • Biçici, E. and Way, A. (2014). RTM-DCU: Referential translation machines for semantic similarity. In Proceedings of SemEval.
    • (2014) Proceedings of SemEval
    • Biçici, E.1    Way, A.2
  • 6
    • 85122010721 scopus 로고    scopus 로고
    • RTM-DCU: Predicting semantic similarity with referential translation machines
    • Bicici, E. (2015). RTM-DCU: Predicting semantic similarity with referential translation machines. In Proceedings of SemEval.
    • (2015) Proceedings of SemEval
    • Bicici, E.1
  • 7
    • 84959861139 scopus 로고    scopus 로고
    • The meaning factory: Formal semantics for recognizing textual entailment and determining semantic similarity
    • Bjerva, J., Bos, J., van der Goot, R., and Nissim, M. (2014). The meaning factory: Formal semantics for recognizing textual entailment and determining semantic similarity. In Proceedings of SemEval.
    • (2014) Proceedings of SemEval
    • Bjerva, J.1    Bos, J.2    van der Goot, R.3    Nissim, M.4
  • 8
    • 84870673011 scopus 로고    scopus 로고
    • A comparison of vector-based representations for semantic composition
    • Blacoe, W. and Lapata, M. (2012). A comparison of vector-based representations for semantic composition. In Proceedings of EMNLP-CoNLL.
    • (2012) Proceedings of EMNLP-CoNLL
    • Blacoe, W.1    Lapata, M.2
  • 9
    • 84859089502 scopus 로고    scopus 로고
    • Collecting highly parallel data for paraphrase evaluation
    • Chen, D. L. and Dolan, W. B. (2011). Collecting highly parallel data for paraphrase evaluation. In Proceedings of ACL.
    • (2011) Proceedings of ACL
    • Chen, D. L.1    Dolan, W. B.2
  • 10
    • 84859902208 scopus 로고    scopus 로고
    • Paraphrase identification as probabilistic quasi-synchronous recognition
    • Das, D. and Smith, N. A. (2009). Paraphrase identification as probabilistic quasi-synchronous recognition. In Proceedings of ACL-IJCNLP.
    • (2009) Proceedings of ACL-IJCNLP
    • Das, D.1    Smith, N. A.2
  • 12
    • 85105937549 scopus 로고    scopus 로고
    • Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources
    • Dolan, B., Quirk, C., and Brockett, C. (2004). Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources. In Proceedings of COLING.
    • (2004) Proceedings of COLING
    • Dolan, B.1    Quirk, C.2    Brockett, C.3
  • 13
    • 84952038882 scopus 로고    scopus 로고
    • ASOBEK: Twitter paraphrase identification with simple overlap features and SVMs
    • Eyecioglu, A. and Keller, B. (2015). ASOBEK: Twitter paraphrase identification with simple overlap features and SVMs. In Proceedings of SemEval.
    • (2015) Proceedings of SemEval
    • Eyecioglu, A.1    Keller, B.2
  • 16
    • 0004281803 scopus 로고
    • Technical report, Brown University. Department of Linguistics
    • Francis, W. N. and Kucera, H. (1979). Brown corpus manual. Technical report, Brown University. Department of Linguistics.
    • (1979) Brown corpus manual
    • Francis, W. N.1    Kucera, H.2
  • 18
    • 84878192222 scopus 로고    scopus 로고
    • Modeling sentences in the latent space
    • Guo, W. and Diab, M. (2012). Modeling sentences in the latent space. In Proceedings of ACL.
    • (2012) Proceedings of ACL
    • Guo, W.1    Diab, M.2
  • 19
    • 84959888567 scopus 로고    scopus 로고
    • Fast tweet retrieval with compact binary codes
    • Guo, W., Liu, W., and Diab, M. (2014). Fast tweet retrieval with compact binary codes. In Proceedings of COLING.
    • (2014) Proceedings of COLING
    • Guo, W.1    Liu, W.2    Diab, M.3
  • 21
    • 80055055032 scopus 로고    scopus 로고
    • Semantic relatedness using salient semantic analysis
    • Hassan, S. and Mihalcea, R. (2011). Semantic relatedness using salient semantic analysis. In Proceedings of AAAI.
    • (2011) Proceedings of AAAI
    • Hassan, S.1    Mihalcea, R.2
  • 24
    • 84923632271 scopus 로고    scopus 로고
    • Discriminative improvements to distributional sentence similarity
    • Ji, Y. and Eisenstein, J. (2013). Discriminative improvements to distributional sentence similarity. In Proceedings of EMNLP.
    • (2013) Proceedings of EMNLP
    • Ji, Y.1    Eisenstein, J.2
  • 25
    • 85122037123 scopus 로고    scopus 로고
    • CDTDS: Predicting paraphrases in Twitter via support vector regression
    • Karampatsis, R.-M. (2015). CDTDS: Predicting paraphrases in Twitter via support vector regression. In Proceedings of SemEval.
    • (2015) Proceedings of SemEval
    • Karampatsis, R.-M.1
  • 27
    • 77958070418 scopus 로고    scopus 로고
    • Generating phrasal and sentential paraphrases: A survey of data-driven methods
    • Madnani, N. and Dorr, B. J. (2010). Generating phrasal and sentential paraphrases: A survey of data-driven methods. Computational Linguistics.
    • (2010) Computational Linguistics
    • Madnani, N.1    Dorr, B. J.2
  • 28
    • 84926190420 scopus 로고    scopus 로고
    • Re-examining machine translation metrics for paraphrase identification
    • Madnani, N., Tetreault, J., and Chodorow, M. (2012). Re-examining machine translation metrics for paraphrase identification. In Proceedings of NAACL-HLT.
    • (2012) Proceedings of NAACL-HLT
    • Madnani, N.1    Tetreault, J.2    Chodorow, M.3
  • 29
    • 33750693384 scopus 로고    scopus 로고
    • Corpus-based and knowledge-based measures of text semantic similarity
    • Mihalcea, R., Corley, C., and Strapparava, C. (2006). Corpus-based and knowledge-based measures of text semantic similarity. In Proceedings of AAAI.
    • (2006) Proceedings of AAAI
    • Mihalcea, R.1    Corley, C.2    Strapparava, C.3
  • 31
    • 85122043724 scopus 로고    scopus 로고
    • FBK-HLT: An application of semantic textual similarity for paraphrase and semantic similarity in Twitter
    • Ngoc Phuoc An Vo, S. M. and Popescu, O. (2015). FBK-HLT: An application of semantic textual similarity for paraphrase and semantic similarity in Twitter. In Proceedings of SemEval.
    • (2015) Proceedings of SemEval
    • Ngoc Phuoc An Vo, S. M.1    Popescu, O.2
  • 32
    • 84880051390 scopus 로고    scopus 로고
    • Tweetmotif: Exploratory search and topic summarization for Twitter
    • O'Connor, B., Krieger, M., and Ahn, D. (2010). Tweetmotif: Exploratory search and topic summarization for Twitter. In Proceedings of ICWSM.
    • (2010) Proceedings of ICWSM
    • O'Connor, B.1    Krieger, M.2    Ahn, D.3
  • 33
    • 84889586865 scopus 로고    scopus 로고
    • Using paraphrases for improving first story detection in news and twitter
    • Petrović, S., Osborne, M., and Lavrenko, V. (2012). Using paraphrases for improving first story detection in news and twitter. In Proceedings of NAACL-HLT.
    • (2012) Proceedings of NAACL-HLT
    • Petrović, S.1    Osborne, M.2    Lavrenko, V.3
  • 34
    • 55849090098 scopus 로고    scopus 로고
    • Paraphrase recognition via dissimilarity significance classification
    • Qiu, L., Kan, M.-Y., and Chua, T.-S. (2006). Paraphrase recognition via dissimilarity significance classification. In Proceedings of EMNLP.
    • (2006) Proceedings of EMNLP
    • Qiu, L.1    Kan, M.-Y.2    Chua, T.-S.3
  • 35
    • 80053238545 scopus 로고    scopus 로고
    • Named entity recognition in tweets: an experimental study
    • Ritter, A., Clark, S., and Etzioni, O. (2011). Named entity recognition in tweets: an experimental study. In Proceedings of EMNLP.
    • (2011) Proceedings of EMNLP
    • Ritter, A.1    Clark, S.2    Etzioni, O.3
  • 36
    • 84893549814 scopus 로고
    • Some aspects of the sequential design of experiments
    • Springer
    • Robbins, H. (1985). Some aspects of the sequential design of experiments. In Herbert Robbins Selected Papers. Springer.
    • (1985) Herbert Robbins Selected Papers
    • Robbins, H.1
  • 38
    • 85122030608 scopus 로고    scopus 로고
    • Ebiquity: Paraphrase and semantic similarity in Twitter using skipgrams
    • Satyapanich, T., Gao, H., and Finin, T. (2015). Ebiquity: Paraphrase and semantic similarity in Twitter using skipgrams. In Proceedings of SemEval.
    • (2015) Proceedings of SemEval
    • Satyapanich, T.1    Gao, H.2    Finin, T.3
  • 50
    • 85122027593 scopus 로고    scopus 로고
    • ECNU: Boosting performance for paraphrase and semantic similarity in Twitter by leveraging word embeddings
    • Zhao, J. and Lan, M. (2015). ECNU: Boosting performance for paraphrase and semantic similarity in Twitter by leveraging word embeddings. In Proceedings of SemEval.
    • (2015) Proceedings of SemEval
    • Zhao, J.1    Lan, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.