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schtepf [Courses and Tutorials on DSM]
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-====== Distributional Semantic Models (ESSLLI 2009)  ======+====== Courses and Tutorials on DSM  ======
  
-[[course:start|Start page]] – +[[course:esslli2009:start|ESSLLI 2009]] – 
-[[course:schedule|Schedule]] – +[[course:acl2010:start|NAACL-HLT 2010]] – 
-[[course:material|Downloads & Links]] –+[[course:esslli2018:start|ESSLLI '16 & '18]] – 
 +[[course:esslli2021:start|ESSLLI 2021]] – 
 +[[course:material|Software & data sets]] –
 **Bibliography** **Bibliography**
  
  
-===== DSM Bibliography =====+===== DSM Bibliography: Suggested readings =====
  
-Baroni M., Lenci A., & L. Onnis (2007) “ISA meets Lara: A fully incremental word space model for cognitively plausible simulations of semantic learning”, in Proceedings of the ACL Workshop on Cognitive Aspects of Language Acquisition: 49-56. +==== Core readings ====
-Baroni, M. & A. Lenci (2009), “One semantic memory, many semantic tasks”, Proceedings of the EACL Workshop on GEometrical Models of Natural Language Semantics, Athens, 31st March. +
-Barsalou, L.W. (1999), “Perceptual symbols systems”, Behavioural and Brain Sciences, XXII:577-609. +
-Barsalou, L.W. (2003), “Semantic simulation in the human conceptual system”, Language and Cognitive Processes, XVIII: 513-562. +
-Barsalou, L.W., Santos, A., Simmons, W.K. & C.D. Wilson (2008), “Language and simulation in conceptual processing”, in De Vega et al. (2008): 245-283. +
-Bloomfield, L. (1933), Language, New York, Henry Holt and Company. +
-Borovsky, A. & J.L. Elman (2006), “Language input and semantic categories: A relation between cognition and early word learning”, Journal of Child Language, XXXIII: 759-790. +
-Burgess, C. & K. Lund (1997), “Modelling parsing constraints with high-dimensional context space”, Language and Cognitive Processes, XII: 1-34. +
-Collins, A.M. & M.R. Quillian (1969), “Retrieval time from semantic memory”, Journal of verbal learning and verbal behavior, VIII/2: 240–248. +
-De Vega, M., Glenberg, A.M. & A.C. Graesser (eds.) (2008), Symbols, Embodiment and Meaning, Oxford, Oxford University Press. +
-Erk, K. (2009), “Supporting inferences in semantic space: representing words as regions”, Proceedings of IWCS 2009. +
-Erk, K. & S. Padó (2008), “A Structured Vector Space Model for Word Meaning in Context”, in Proceedings of EMNLP 2008. +
-Farkas, I. & P. Li (2001), “A self-organizing neural network model of the acquisition of word meaning”, Proceedings of the 4th International Conference on Cognitive Modeling. +
-Fellbaum, C. (ed.) (1998), WordNet: An Electronic Lexical Database, Cambridge MA, MIT Press. +
-Firth, J. R. (1957), Papers in Linguistics, London, Oxford University Press. +
-Gleitman, L. (2002), “Verbs of a feather flock together II” in Nevin, B. (ed.), The Legacy of Zellig Harris: Language and Information in the 21st Century, Philadelphia, John Benjamins: 209-229. +
-Glenberg, A.M. & D.A. Robertson (2000), “Symbol grounding and meaning: a comparison of high-dimensional and embodied theories of meaning”, Journal of Memory and Language, XLIII/3: 379-401. +
-Goldsmith, J. (2005), “Review to Nevin, B. (ed.) The Legacy of Zellig Harris”, Language, LXXXI/3: 719-736. +
-Hare, J., Samangooei, S., Lewis, P. & M. Nixon (2008), “Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces”, CIVR '08: The 2008 international conference on Content-based image and video retrieval, Niagara Falls. +
-Harnad, S. (1990), “The symbol grounding problem”, Physica D, XLII: 335-346. +
-Harris, Z.S. (1951), Methods in Structural Linguistics, Chicago, University of Chicago Press. +
-Harris, Z.S. (1954), “Distributional structure”, Word, X/2-3, 1954: 146-62 [reprinted in Harris, Z.S., Papers in Structural and Transformational Linguistics, Dordrecht, Reidel: 775-794]. +
-Jenkins, J.J. (1954), “Transitional organization: association techniques”, in Osgood, C.E. & T.A. Sebeok (eds.), Psycholinguistics. A Survey of Theory and Research Problems, Bloomington, Indiana University Press: 112-118. +
-Jones, M. N., Kintsch, W. & D.J.K. Mewhort (2006), “High dimensional semantic space accounts of priming”, Journal of memory and Language, LV: 534-552. +
-Jones, M.N. & D.J.K. Mewhort (2007), “Representing word meaning and order information in a composite holographic lexicon”, Psychological Review, CXIV/1:1-37. +
-Kilgarriff, A. (1997), “I don’t believe in word senses”, Computers and the Humanities, XXXI: 91-113. +
-Kintsch, W. (2001), “Predication”, Cognitive Science, XXV: 173-202. +
-Landauer, Th. K. & S.T. Dumais (1997), “A Solution to Plato's problem: the latent semantic analysis theory of acquisition, induction and representation of knowledge”, Psychological Review, CIV/2: 211-240. +
-Landauer, Th.K., McNamara, D.S., Dennis S., & W. Kintsch (eds.) (2007), Handbook of Latent Semantic Analysis, Mahwah NJ, Lawrence Erlbaum. +
-Langacker, R. (1998), “Conceptualization, symbolization and grammar”, in Tomasello, M. (ed.), The New Psychology of Language. Cognitive and Functional Approaches to Language Structure, Mahwah, NJ, Lawrence Erlbaum: 1-39. +
-Lenci, A. (in press), “Argument alternations in Italian verbs: a computational study”, Atti del XLII Congresso Internazionale di Studi della Società di Linguistica Italiana, Pisa. +
-Levin, B. (1993), English Verb Classes and Alternations. A Preliminary Investigation, Chicago, University of Chicago Press. +
-Levin, B. & M. Rappaport Hovav (2005), Argument Realization, Cambridge, Cambridge University Press. +
-Lewis, D. (1972), “General semantics”, in Harman, G. & D. Davidson (eds.), Semantics of Natural Language, Dordrecht, Reidel: 169-218. +
-Li, P., Burgess, C. & K. Lund (2000), “The acquisition of word meaning through global lexical co-occurrences”, Proceedings of the 31st Child Language Research Forum: 167-178. +
-Li, P., Farkas, I. & MacWhinney B. (2004), “Early lexical development in a self-organizing neural network”, Neural Networks, XVII: 1345-1362. +
-Lidz, J., Gleitman, H. & L. Gleitman (2003), “Understanding how input matters: verb learning and the footprint of universal grammar”, Cognition, LXXXVII/3: 151-178. +
-Louwerse, M. & P. Jeuniaux (2008), “Language comprehension is both embodied and symbolic”, in De Vega et al. (2008): 309-326. +
-Mahon, B.Z. & A. Caramazza (2008), “A critical look at the embodied cognition hypthesis and a new proposal for grounding conceptual content”, Journal of Physiology – Paris, CII: 59-70. +
-Marconi, D. (1997), Lexical Competence, Cambridge, MA, MIT Press. +
-Mathe, S., Fazly, A., Dickinson, S. & S. Stevenson (2008) “Learning the abstract motion semantics of verbs from captioned videos”, Proceedings of the 3rd International Workshop on Semantic Learning Applications in Multimedia (the new SLAM), Anchorage. +
-Merlo, P. & S. Stevenson (2001), “Automatic verb classification based on statistical distributions of argument structure”, Computational Linguistics, XXVII/3: 373-408. +
-Miller G. A. & W.G. Charles (1991), “Contextual correlates of semantic similarity”, Language and Cognitive Processes, VI: 1-28. +
-Mitchell, M. & M. Lapata (2008), “Vector-based models of semantic composition”, in Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: 236-244. +
-Morris, C.W. (1938), “Foundations of a theory of signs”, in International Encyclopedia of Unified Science, Chicago, University of Chicago Press: 77-138. +
-Padó, S. & M. Lapata (2007), “Dependency-based construction of semantic space models”, Computational Linguistics, XXXIII/2:161-199. +
-Pantel, P. & M. Pennacchiotti, (2006), “Espresso: Leveraging generic patterns for automatically harvesting semantic relations”, in Proceedings of the Conference on Computational Linguistics / Association for Computational Linguistics (COLING/ACL): 113-120. +
-Partee, B.H. (1984), “Compositionality”, in Landman, F. & F. Veltman (eds.), Varieties of Formal Semantics, Dordrecht, Foris: 281-311. +
-Pustejovsky, J. (1995), The Generative Lexicon, Cambridge MA, MIT Press. +
-Pustejovsky, J. (2001), “Type construction and the logic of concepts”, in Bouillon, P. & F. Busa (eds.), The Syntax of Word Meaning, Cambridge, Cambridge University Press: 91-123. +
-Pustejovsky, J. (2006), “Type theory and lexical decomposition”, Journal of Cognitive Science VI: 39-76. +
-Quine, W.V. (1969), Ontological Relativity and other Essays, New York, Columbia University Press. +
-Rizzolatti, G. & L. Craighero (2004), “The mirror-neuron system”, Annual Review of Neuroscience, XXVII: 169-192. +
-Rogers, T.T., Lambon Ralph, M.A., Garrard, P., Bozeat, S., McClelland, J.L., Hodges, J.R., & K. Patterson (2004), “The structure and deterioration of semantic memory: A neuropsychological and computational investigation”, Psychological Review, CXI/1: 205-235. +
-Rubinstein, H. & J.B. Goodenough (1965), “Contextual correlates of synonymy”, Computational Linguistics, VIII: 627-633. +
-Schulte im Walde, S. (2006), “Experiments on the automatic induction of German semantic verb classes”, Computational Linguistics, XXXII/2: 159-194. +
-Searle, J. (1980), “Minds, brains and programs”, Behavioural and Brain Sciences, III: 417-424. +
-Shapiro, L. (2008), “Symbolism, embodied cognition, and the broader debate”, in De Vega et al. (2008): 57-74. +
-Vigliocco, G., Vinson, D.P., Lewis, W. & M.F. Garrett (2004), “Representing the meanings of object and action words: The featural and unitary semantic space hypothesis”, Cognitive Psychology, XLVIII: 422-488. +
-Widdows, D. (2004), Geometry and Meaning, Stanford, CA, CSLI.+
  
 +  * Curran, J.R. (2004), //[[http://www.inf.ed.ac.uk/publications/thesis/online/IP030023.pdf|From Distributional to Semantic Similarity]]//, PhD thesis, University of Edinburgh
 +  * Harris, Z.S. (1954), “Distributional structure”, //Word//, 10/2-3, 1954: 146-62\\ [reprinted in Harris, Z.S., //Papers in Structural and Transformational Linguistics//, Dordrecht, Reidel: 775-794]
 +  * Landauer, Th. K. & S.T. Dumais (1997), “[[http://www.pearsonkt.com/papers/plato/plato.annote.html|A Solution to Plato's problem: the latent semantic analysis theory of acquisition, induction and representation of knowledge]]”, //Psychological Review//, 104/2: 211-240
 +  * Landauer, Th.K., McNamara, D.S., Dennis S., & W. Kintsch (eds.) (2007), //Handbook of Latent Semantic Analysis//, Mahwah NJ, Lawrence Erlbaum
 +  * Lenci, A. (2008), “{{lenci_2008.pdf | Distributional semantics in linguistic and cognitive research}}”, in Lenci A. (ed.), //From context to meaning: Distributional models of the lexicon in linguistics and cognitive science//, special issue of the //Italian Journal of Linguistics//, 20/1: 1-31
 +  * Lin, D. (1998), “[[http://www.aclweb.org/anthology-new/C/C98/C98-2122.pdf|Automatic retrieval and clustering of similar words]]”, //Proceedings of ACL 1998//:768–774
 +  * Lund, K. & C. Burgess (1996), “[[http://locutus.ucr.edu/reprintPDFs/lb96brmic.pdf|Producing high-dimensional semantic spaces from lexical cooccurrence]]”, //Behaviour Research Methods//, 28: 203–208
 +  * Miller G. A. & W.G. Charles (1991), “Contextual correlates of semantic similarity”, //Language and Cognitive Processes//, 6: 1-28
 +  * Padó, S. & M. Lapata (2007), “[[http://www.aclweb.org/anthology/J/J07/J07-2002.pdf|Dependency-based construction of semantic space models]]”, //Computational Linguistics//, 33/2:161-199
 +  * Sahlgren, M. (2006), //[[http://www.sics.se/~mange/TheWordSpaceModel.pdf|The Word Space Model]]//, Ph.D. dissertation, Stockholm University, Stockholm
 +  * Schütze, H. (1992), “[[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.27.978&rep=rep1&type=pdf|Dimensions of meaning]]”, in //Proceedings of Supercomputing ’92//, IEEE Computer Society Press: 787–796
 +  * Schütze, H. (1998), “[[http://www.aclweb.org/anthology/J/J98/J98-1004.pdf|Automatic word sense discrimination]]”, //Computational Linguistics// 24/1: 97–123
 +  * Turney, P. (2006), “[[http://www.aclweb.org/anthology/J/J06/J06-3003.pdf|Similarity of semantic relations]]”, //Computational Linguistics//, 32(3): 379–416
 +  * Widdows, D. (2004), //Geometry and Meaning//, Stanford, CA, CSLI
 +
 +
 +
 +==== Advanced readings ====
 +
 +  * Baroni, M. & A. Lenci (2009), “[[http://aclweb.org/anthology-new/W/W09/W09-0201.pdf|One distributional memory, many semantic spaces]]” in //Proceedings of the EACL Workshop on GEometrical Models of Natural Language Semantics//, Athens, 31st March
 +  * Erk, K. (2007), "[[http://aclweb.org/anthology-new/P/P07/P07-1028.pdf|A simple, similarity-based model for selectional preferences]]" in //Proceedings of ACL 2007//, Prague, Czech Republic
 +  * Erk, K. (2009), “[[http://comp.ling.utexas.edu/erk/papers/erk_iwcs09.pdf|Supporting inferences in semantic space: representing words as regions]]”, in //Proceedings of IWCS 2009//
 +  * Erk, K. & S. Padó (2008), “[[http://www.nlpado.de/~sebastian/pub/papers/emnlp08_erk.shtml|A Structured Vector Space Model for Word Meaning in Context]]”, in //Proceedings of EMNLP 2008//
 +  * Hare, J., Samangooei, S., Lewis, P. & M. Nixon (2008), “[[http://eprints.ecs.soton.ac.uk/16160/1/p359.pdf|Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces]]”, in //CIVR '08: The 2008 international conference on Content-based image and video retrieval//, Niagara Falls
 +  * Jones, M.N. & D.J.K. Mewhort (2007), “[[http://www.indiana.edu/%7Eclcl/New/Jones_Mewhort_PR.pdf|Representing word meaning and order information in a composite holographic lexicon]]”, //Psychological Review//, 114/1:1-37
 +  * Mitchell, M. & M. Lapata (2008), “[[http://aclweb.org/anthology-new/P/P08/P08-1028.pdf|Vector-based models of semantic composition]]”, in //Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics//: 236-244
 +  * Padó, S., Padó U. & K. Erk (2007), “[[http://www.nlpado.de/~sebastian/pub/papers/emnlp07_pado.shtml|Flexible, corpusbased modelling of human plausibility judgements]]”, in //Proceedings EMNLP 2007//: 400–409
 +  * Plate, T. (2003), //Holographic Reduced Representation//, number 150 of CSLI Lecture Notes, CSLI Publications, Stanford, CA
 +  * Rubinstein, H. & J.B. Goodenough (1965), “Contextual correlates of synonymy”, //Computational Linguistics//, 8: 627-633
 +  * Griffiths, T.L., Steyvers, M. & J.B.T. Tenenbaum (2007), “[[http://psiexp.ss.uci.edu/research/papers/Griffiths_Steyvers_Tenenbaum_2007.pdf|Topics in Semantic Representation]]”, //Psychological Review//, 114(2): 211-244
 +  * Turney, P. (2008), “[[http://aclweb.org/anthology-new/C/C08/C08-1114.pdf|A uniform approach to analogies, synonyms, antonyms and associations]]”, in //Proceedings of COLING 2008//: 905–912
 +
 +==== DSM in Cognitive Science ====
 +
 +  * Andrews, M., Vigliocco, G. & D. Vinson (2009), “[[http://www.psychol.ucl.ac.uk/language/papers/andrews.al.n7351.8.9.22.pdf|Integrating experiential and distributional data to learn semantic representations]]”, //Psychological Review//, 116/3
 +  * Baroni M. & A. Lenci (2008) "{{baroni_lenci_2008.pdf | Concepts and properties in word Spaces}}, in Lenci A. (ed.), //From context to meaning: Distributional models of the lexicon in linguistics and cognitive science//, special issue of the //Italian Journal of Linguistics//, 20/1: 55-88
 +  * Baroni M., Lenci A., & L. Onnis (2007), “[[http://aclweb.org/anthology-new/W/W07/W07-0607.pdf|ISA meets Lara: A fully incremental word space model for cognitively plausible simulations of semantic learning]]”, in //Proceedings of the ACL Workshop on Cognitive Aspects of Language Acquisition//: 49-56
 +  * Barsalou, L.W., Santos, A., Simmons, W.K. & C.D. Wilson (2008), “[[http://psychology.emory.edu/cognition/barsalou/papers/Barsalou_et_al_chap_2008_language_&_situated_simulation.pdf|Language and simulation in conceptual processing]]”, in De Vega, M., Glenberg, A.M. & A.C. Graesser (eds.), //Symbols, Embodiment and Meaning//, Oxford, Oxford University Press: 245-283
 +  * Borovsky, A. & J.L. Elman (2006), “[[http://repositories.cdlib.org/cgi/viewcontent.cgi?article=5503&context=postprints|Language input and semantic categories: A relation between cognition and early word learning]]”, //Journal of Child Language//, 33: 759-790
 +  * Bullinaria, J.A. & J.P. Levy (2007), “[[http://www.cs.bham.ac.uk/~jxb/PUBS/BRM.pdf|Extracting Semantic Representations from Word Co-occurrence Statistics: A Computational Study]]”, //Behavior Research Methods//, 39: 510-526
 +  * Farkas, I. & P. Li (2001), “[[http://cogprints.org/1914/0/iccm2001.ps.gz|A self-organizing neural network model of the acquisition of word meaning]]”, in //Proceedings of the 4th International Conference on Cognitive Modeling//
 +  * Glenberg, A.M. & D.A. Robertson (2000), “[[http://psych.wisc.edu/glenberg/Papers/Symbol%20grounding.pdf|Symbol grounding and meaning: a comparison of high-dimensional and embodied theories of meaning]]”, //Journal of Memory and Language//, 43/3: 379-401
 +  * Jones, M. N., Kintsch, W. & D.J.K. Mewhort (2006), “[[http://www.indiana.edu/%7Eclcl/New/Jones_Kintsch_Mewhort_JML06.pdf|High dimensional semantic space accounts of priming]]”, //Journal of memory and Language//, 55: 534-552
 +  * Kintsch, W. (2001), “Predication”, //Cognitive Science//, 25: 173-202
 +  * Li, P., Burgess, C. & K. Lund (2000), “[[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.40.476&rep=rep1&type=pdf|The acquisition of word meaning through global lexical co-occurrences]]”, in //Proceedings of the 31st Child Language Research Forum//: 167-178
 +  * Mitchell T., Shinkareva S., Carlson A., Chang K., Malave V., Mason R. & M. Just (2008), "[[http://www.cs.cmu.edu/%7Etom/pubs/science2008.pdf|Predicting human brain activity associated with the meanings of nouns]]", //Science//, 320: 1191-1195
 +  * Rogers, T.T., Lambon Ralph, M.A., Garrard, P., Bozeat, S., McClelland, J.L., Hodges, J.R., & K. Patterson (2004), “[[http://www-psych.stanford.edu/~jlm/papers/RogersETAL04.pdf|The structure and deterioration of semantic memory: A neuropsychological and computational investigation]]”, //Psychological Review//, 111/1: 205-235
 +  * Shaoul, C. & C. Westbury (2006), "[[http://brm.psychonomic-journals.org/content/38/2/190.full.pdf|Word Frequency Effects in High-Dimensional Co-Occurrence Models: A New Approach]]", //Behavior Research Methods//, 38/2: 190–195
  
  
  

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