Deep-learning the Ropes: Modeling Idiomaticity with Neural Networks
暂无分享,去创建一个
Alessandro Lenci | Yuri Bizzoni | Marco S. G. Senaldi | Alessandro Lenci | M. Senaldi | Yuri Bizzoni
[1] Antoine Doucet,et al. Neural Networks for Multi-Word Expression Detection , 2017, MWE@EACL.
[2] Yan Liu,et al. Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors , 2017, WSDM.
[3] Stephen Clark,et al. RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics , 2016, CL.
[4] Alessandro Lenci,et al. Lexical Variability and Compositionality: Investigating Idiomaticity with Distributional Semantic Models , 2016, MWE@ACL.
[5] Carlos Ramisch,et al. Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time , 2016, ACL.
[6] Ronan Collobert,et al. Phrase Representations for Multiword Expressions , 2016, MWE@ACL.
[7] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[8] Omer Levy,et al. Improving Distributional Similarity with Lessons Learned from Word Embeddings , 2015, TACL.
[9] I. Sag,et al. Idioms , 2015 .
[10] Georgiana Dinu,et al. Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors , 2014, ACL.
[11] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[12] Karel Jezek,et al. Determining Compositionality of Expresssions Using Various Word Space Models and Methods , 2013, CVSM@ACL.
[13] Ludovic Tanguy,et al. Authorship Attribution: Using Rich Linguistic Features when Training Data is Scarce , 2012, CLEF.
[14] A. Jacobs,et al. Looking at the brains behind figurative language—A quantitative meta-analysis of neuroimaging studies on metaphor, idiom, and irony processing , 2012, Neuropsychologia.
[15] Mirella Lapata,et al. A Comparison of Vector-based Representations for Semantic Composition , 2012, EMNLP.
[16] Mirella Lapata,et al. Composition in Distributional Models of Semantics , 2010, Cogn. Sci..
[17] Patrick Pantel,et al. From Frequency to Meaning: Vector Space Models of Semantics , 2010, J. Artif. Intell. Res..
[18] Afsaneh Fazly,et al. Unsupervised Type and Token Identification of Idiomatic Expressions , 2009, CL.
[19] Silvia Bernardini,et al. The WaCky wide web: a collection of very large linguistically processed web-crawled corpora , 2009, Lang. Resour. Evaluation.
[20] Stefanie Wulff,et al. Rethinking Idiomaticity: A Usage-based Approach , 2009 .
[21] Dilin Liu,et al. The Most Frequently Used Spoken American English Idioms: A Corpus Analysis and Its Implications. , 2003 .
[22] Timothy Baldwin,et al. Multiword Expressions: A Pain in the Neck for NLP , 2002, CICLing.
[23] Cristina Cacciari,et al. Semantic productivity and idiom comprehension. , 1994 .
[24] Richard A. Harshman,et al. Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..
[25] Kenneth Ward Church,et al. Word Association Norms, Mutual Information, and Lexicography , 1989, ACL.
[26] G. Lakoff,et al. Metaphors We Live by , 1982 .
[27] Jason Eisner,et al. Lexical Semantics , 2020, The Handbook of English Linguistics.
[28] Stergios Chatzikyriakidis,et al. “Deep” Learning : Detecting Metaphoricity in Adjective-Noun Pairs , 2017 .
[29] Alessandro Lenci,et al. Determining the Compositionality of Noun-Adjective Pairs with Lexical Variants and Distributional Semantics , 2016, CLiC-it/EVALITA.
[30] Enrico Torre. The emergent patterns of Italian idioms:a dynamic-systems approach , 2014 .
[31] Alessandro Lenci,et al. Distributional semantics in linguistic and cognitive research , 2008 .
[32] Afsaneh Fazly,et al. A distributional account of the semantics of multiword expressions , 2008 .
[33] Cristina Cacciari,et al. Understanding idiomatic expressions. The contribution of word meanings , 1991 .
[34] Klaus Krippendorff,et al. Content Analysis: An Introduction to Its Methodology , 1980 .
[35] Carlo Lapucci. Dizionario dei modi di dire della lingua italiana , 1979 .