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course:bibliography [2009/07/15 23:04]
schtepf |
course:bibliography [2021/07/30 19:47] (current)
schtepf [Courses and Tutorials on DSM] |
| ====== Distributional Semantic Models (ESSLLI 2009) ====== | ====== Courses and Tutorials on DSM ====== |
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| [[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** |
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| ===== DSM Bibliography ===== | ===== DSM Bibliography: Suggested readings ===== |
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| | ==== Core readings ==== |
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| | * 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 |
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| | ==== Advanced readings ==== |
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| | * 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 ==== |
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| | * 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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| {{:icon_warn.png?32}} **Under construction** | |
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