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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 Joint learning of morphology and syntax with cross-level contextual information flow Can Buglalilar, Burcu; Aleçakır, Hüseyin; Manandhar, Suresh... In: 2022 ; 1 ; 33 (2022) BASE Show details 2 Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation Manandhar, Suresh Kumar; Can, Burcu. - 2018 BASE Show details 3 Tree structured Dirichlet processes for hierarchical morphological segmentation Manandhar, Suresh; Can, Burcu In: 44 ; 2 ; 349 ; 374 (2018) BASE Show details 4 Grounding proposition stores for question answering over linked data Cabaleiro, Bernardo; Peñas, Anselmo; Manandhar, Suresh Kumar. - 2017 BASE Show details 5 Methods and algorithms for unsupervised learning of morphology Can, Burcu; Manandhar, Suresh In: 8403 ; 177 ; 205 (2014) BASE Show details 6 Probabilistic Hierarchical Clustering Of Morphological Paradigms Can, Burcu; Manandhar, Suresh Kumar. - : Association for Computational Linguistics, 2012 BASE Show details 7 TakeLab: Systems for measuring semantic text similarity Dalbelo Bašić, Bojana; Šarić, Frane; Glavaš, Goran. - : Association for Computational Linguistics, 2012 BASE Show details 8 Designing an interactive open-domain question answering system Quarteroni, Silvia; Manandhar, Suresh In: Natural language engineering. - Cambridge : Cambridge University Press 15 (2009) 1, 73-95 BLLDB OLC Linguistik Show details 9 Implementing clarification dialogues in open domain question answering De Boni, Marco; Manandhar, Suresh In: Natural language engineering. - Cambridge : Cambridge University Press 11 (2005) 4, 343-361 BLLDB Show details 10 Computing meaning Bunt, Harry (Hrsg.); Muskens, Reinhard (Hrsg.); Thijsse, Elias (Hrsg.). - Dordrecht : Kluwer Acad. Publ., 2001 BLLDB Show details 11 An introduction to inductive logic programming and learning language in logic Džeroski, Sašo; Cussens, James; Manandhar, Suresh In: Learning language in logic. - Berlin [u.a.] : Springer (2000), 3-37 BLLDB Show details 12 The availability of partial scopings in an underspecified semantic representation Willis, Alistair; Manandhar, Suresh In: IWCS <3, 1999, Tilburg>. Proceedings of the third International Workshop on Computational Semantics. - Tilburg : Computational Linguistics, Tilburg Univ. (1999), 327-340 BLLDB Show details 13 On constraint-based Lambek Calculi Dörre, Jochen; Manandhar, Suresh In: Specifying syntactic structures (Stanford, Cal., 1997), p. 25-44 MPI für Psycholinguistik Show details 14 On constraint-based Lambek calculi Dörre, Jochen; Manandhar, Suresh In: Specifying syntactic structures. - Stanford, Calif. : CSLI Pubns [u.a.] (1997), 25-44 BLLDB Show details 15 Syntax Adriaans, Pieter (Mitarb.); Haas, Erik de (Mitarb.); Cussens, James (Mitarb.)... In: Computational natural language learning. - Somerset, NJ : Association for Computational Linguistics (1997), 125-233 BLLDB Show details 16 Deterministic Consistency Checking of LP Constraints ... Manandhar, Suresh. - : arXiv, 1995 BASE Show details 17 Relational extensions to feature logic: applications to constraint based grammars Manandhar, Suresh K.. - : The University of Edinburgh, 1994 Abstract: This thesis investigates the logical and computational foundations of unification-based or more appropriately constraint based grammars. The thesis explores extensions to feature logics (which provide the basic knowledge representation services to constraint based grammars) with multi-valued or relational features. These extensions are useful for knowledge representation tasks that cannot be expressed within current feature logics. ; The approach bridges the gap between concept languages (such as KL-ONE), which are the mainstay of knowledge representation languages in AI, and feature logics. Va¬ rious constraints on relational attributes are considered such as existential membership, universal membership, set descriptions, transitive relations and linear precedence con¬ straints. ; The specific contributions of this thesis can be summarised as follows: 1. Development of an integrated feature/concept logic 2. Development of a constraint logic for so called partial set descriptions 3. Development of a constraint logic for expressing linear precedence constraints 4. The design of a constraint language CL-ONE that incorporates the central ideas provided by the above study 5. A study of the application of CL-ONE for constraint based grammars ; The thesis takes into account current insights in the areas of constraint logic programming, object-oriented languages, computational linguistics and knowledge representation. URL: http://hdl.handle.net/1842/35131 BASE Hide details

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