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2010 – 2019
- 2017
[c31]Andreas van Cranenburgh, Rens Bod:
A Data-Oriented Model of Literary Language. EACL (1) 2017: 1228-1238- [i10]Andreas van Cranenburgh, Rens Bod:
A Data-Oriented Model of Literary Language. CoRR abs/1701.03329 (2017) - 2016
- [j10]Andreas van Cranenburgh
, Remko Scha, Rens Bod:
Data-Oriented Parsing with Discontinuous Constituents and Function Tags. J. Lang. Model. 4(1): 57-111 (2016) - [c30]Dieuwke Hupkes, Rens Bod:
POS-tagging of Historical Dutch. LREC 2016 - 2015
- [j9]Alesia A. Zuccala, Raf Guns, Roberto Cornacchia, Rens Bod:
Can we rank scholarly book publishers? A bibliometric experiment with the field of history. J. Assoc. Inf. Sci. Technol. 66(7): 1333-1347 (2015) - 2014
- [c29]Barend Beekhuizen, Rens Bod, Afsaneh Fazly, Suzanne Stevenson, Arie Verhagen:
A Usage-Based Model of Early Grammatical Development. CMCL@ACL 2014: 46-54 - 2013
- [j8]Pieter Pauwels, Rens Bod:
Including the power of interpretation through a simulation of Peirce's process of inquiry. Lit. Linguistic Comput. 28(3): 452-460 (2013) - [c28]Rens Bod:
Sequential Structure Suffices to Solve Nativist Puzzles. CogSci 2013 - [c27]Pieter Pauwels, Rens Bod, Danilo Di Mascio, Ronald De Meyer:
Integrating building information modelling and semantic web technologies for the management of built heritage information. Digital Heritage (1) 2013: 481-488 - [c26]Andreas van Cranenburgh, Rens Bod:
Discontinuous Parsing with an Efficient and Accurate DOP Model. IWPT 2013: 7-16 - 2012
- [c25]Benedikt Löwe, Bernhard Fisseni, Carlos León, Rens Bod:
Computational models of narrative structure. DH 2012: 57-60 - 2011
- [c24]Aline K. Honingh, Rens Bod:
Clustering and Classification of Music by Interval Categories. MCM 2011: 346-349 - 2010
- [c23]Ross W. Gayler, Simon D. Levy, Rens Bod:
Explanatory Aspirations and the Scandal of Cognitive Neuroscience. BICA 2010: 42-51 - [c22]Aline K. Honingh, Rens Bod:
Pitch Class Set Categories as Analysis Tools for Degrees of Tonality. ISMIR 2010: 459-464 - [c21]Federico Sangati, Willem H. Zuidema, Rens Bod:
Efficiently Extract Recurring Tree Fragments from Large Treebanks. LREC 2010
2000 – 2009
- 2009
- [j7]Rens Bod:
From Exemplar to Grammar: A Probabilistic Analogy-Based Model of Language Learning. Cogn. Sci. 33(5): 752-793 (2009) - [j6]Gideon Borensztajn, Willem H. Zuidema, Rens Bod:
Children's Grammars Grow More Abstract with Age - Evidence from an Automatic Procedure for Identifying the Productive Units of Language. Top. Cogn. Sci. 1(1): 175-188 (2009) - [c20]Federico Sangati, Willem H. Zuidema, Rens Bod:
A generative re-ranking model for dependency parsing. IWPT 2009: 238-241 - 2008
- [p1]Rens Bod:
The Data-Oriented Parsing Approach: Theory and Application. Computational Intelligence: A Compendium 2008: 307-348 - 2007
- [j5]Rens Bod:
Getting Rid of Derivational Redundancy or How to Solve Kuhn's Problem. Minds Mach. 17(1): 47-66 (2007) - [c19]Rens Bod:
Is the End of Supervised Parsing in Sight? ACL 2007 - [c18]Rens Bod:
Unsupervised syntax-based machine translation: the contribution of discontiguous phrases. MTSummit 2007 - 2006
- [c17]Rens Bod:
An All-Subtrees Approach to Unsupervised Parsing. ACL 2006 - [c16]Rens Bod:
Unsupervised Parsing with U-DOP. CoNLL 2006: 85-92 - 2003
- [j4]Rens Bod:
Do all fragments count? Nat. Lang. Eng. 9(4): 307-323 (2003) - [c15]Rens Bod:
An efficient implementation of a new DOP model. EACL 2003: 19-26 - 2002
- [j3]Rens Bod:
A Unified Model of Structural Organization in Language and Music. J. Artif. Intell. Res. 17: 289-308 (2002) - [c14]Rens Bod:
A General Parsing Model for Music and Language. ICMAI 2002: 5-17 - 2001
- [c13]Rens Bod:
What is the Minimal Set of Fragments that Achieves Maximal Parse Accuracy? ACL 2001: 66-73 - [c12]Rens Bod:
A Memory-Based Model for Music Analysis: Challenging the Gestalt Principles. ICMC 2001 - [i9]Rens Bod:
What is the minimal set of fragments that achieves maximal parse accuracy? CoRR cs.CL/0110050 (2001) - [i8]Rens Bod:
Combining semantic and syntactic structure for language modeling. CoRR cs.CL/0110051 (2001) - 2000
- [c11]Rens Bod:
An Improved Parser for Data-Oriented Lexical-Functional Analysis. ACL 2000: 61-68 - [c10]Rens Bod:
An Empirical Evaluation of LFG-DOP. COLING 2000: 62-68 - [c9]Rens Bod:
Parsing with the Shortest Derivation. COLING 2000: 69-75 - [c8]Rens Bod:
Combining semantic and syntactic structure for language modeling. INTERSPEECH 2000: 106-109 - [i7]Rens Bod:
Parsing with the Shortest Derivation. CoRR cs.CL/0009025 (2000) - [i6]Rens Bod:
An improved parser for data-oriented lexical-functional analysis. CoRR cs.CL/0009026 (2000) - [i5]Rens Bod:
Do All Fragments Count? CoRR cs.CL/0011040 (2000)
1990 – 1999
- 1999
- [j2]Remko Scha, Rens Bod, Khalil Sima'an:
A memory-based model of syntactic analysis: data-oriented parsing. J. Exp. Theor. Artif. Intell. 11(3): 409-440 (1999) - [j1]Rens Bod:
Context-sensitive spoken dialogue processing with the DOP model. Nat. Lang. Eng. 5(4): 309-323 (1999) - 1998
- [c7]Rens Bod:
Spoken Dialogue Interpretation with the DOP Model. COLING-ACL 1998: 138-144 - [c6]Rens Bod, Ronald M. Kaplan:
A Probabilistic Corpus-Driven Model for Lexical-Functional Analysis. COLING-ACL 1998: 145-151 - 1997
- [c5]Remko Bonnema, Rens Bod, Remko Scha:
A DOP Model for Semantic Interpretation. ACL 1997: 159-167 - 1996
- [c4]Rens Bod:
Two Questions about Data-Oriented Parsing. VLC@COLING 1996 - [i4]Rens Bod:
Efficient Algorithms for Parsing the DOP Model? A Reply to Joshua Goodman. CoRR cmp-lg/9605031 (1996) - [i3]Rens Bod:
Two Questions about Data-Oriented Parsing. CoRR cmp-lg/9606022 (1996) - [i2]Rens Bod, Remko Bonnema, Remko Scha:
A Data-Oriented Approach to Semantic Interpretation. CoRR cmp-lg/9606024 (1996) - [i1]Rens Bod, Remko Scha:
Data-Oriented Language Processing. An Overview. CoRR cmp-lg/9611003 (1996) - 1993
- [c3]Rens Bod:
Using an Annotated Language Corpus as a Virtual Stochastic Grammar. AAAI 1993: 778-783 - [c2]Rens Bod:
Using an Annotated Corpus as a Stochastic Grammar. EACL 1993: 37-44 - 1992
- [c1]Rens Bod:
A Computational Model Of Language Performance: Data Oriented Parsing. COLING 1992: 855-859
Coauthor Index
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