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Jonsson, Anna
Publications (4 of 4) Show all publications
Björklund, J., Drewes, F. & Jonsson, A. (2018). A Comparison of Two N-Best Extraction Methods for Weighted Tree Automata. In: 23rd International Conference on Implementation and Applications of Automata (CIAA 2018): . Paper presented at 23rd International Conference on Implementation and Applications of Automata (CIAA 2018), Charlottetown, Canada, July 30-August 2, 2018.
Open this publication in new window or tab >>A Comparison of Two N-Best Extraction Methods for Weighted Tree Automata
2018 (English)In: 23rd International Conference on Implementation and Applications of Automata (CIAA 2018), 2018Conference paper, Published paper (Refereed)
Abstract [en]

We conduct a comparative study of two state-of-the-art al- gorithms for extracting the N best trees from a weighted tree automaton (wta). The algorithms are Best Trees, which uses a priority queue to structure the search space, and Filtered Runs, which is based on an algorithm by Huang and Chiang that extracts N best runs, implemented as part of the Tiburon wta toolkit. The experiments are run on four data sets, each consisting of a sequence of wtas of increasing sizes. Our conclusion is that Best Trees can be recommended when the input wtas exhibit a high or unpredictable degree of nondeterminism, whereas Filtered Runs is the better option when the input wtas are large but essentially deterministic.

Series
Lecture Notes in Computer Science
Keywords
N-best list, tree automaton
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-149994 (URN)
Conference
23rd International Conference on Implementation and Applications of Automata (CIAA 2018), Charlottetown, Canada, July 30-August 2, 2018
Available from: 2018-06-30 Created: 2018-06-30 Last updated: 2018-06-30
Drewes, F. & Jonsson, A. (2017). Contextual Hyperedge Replacement Grammars for Abstract Meaning Representations. In: M. Kuhlmann, T. Scheffler (Ed.), 13th International Workshop on Tree-Adjoining Grammar and Related Formalisms (TAG+13): . Paper presented at 13th International Workshop on Tree-Adjoining Grammar and Related Formalisms (TAG+13), Umeå, Sweden, September 4-6, 2017. Association for Computational Linguistics
Open this publication in new window or tab >>Contextual Hyperedge Replacement Grammars for Abstract Meaning Representations
2017 (English)In: 13th International Workshop on Tree-Adjoining Grammar and Related Formalisms (TAG+13) / [ed] M. Kuhlmann, T. Scheffler, Association for Computational Linguistics, 2017Conference paper, Published paper (Refereed)
Abstract [en]

We show how contextual hyperedge replacement grammars can be used to generate abstract meaning representations (AMRs), and argue that they are more suitable for this purpose than hyperedge replacement grammars. Contextual hyperedge replacement turns out to have two advantages over plain hyperedge replacement: it can completely cover the language of all AMRs over a given domain of concepts, and at the same time its grammars become both smaller and simpler.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2017
Keywords
Abstract Meaning Representation, DAG Language, Contextual Hyperedge-Replacement
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-137921 (URN)
Conference
13th International Workshop on Tree-Adjoining Grammar and Related Formalisms (TAG+13), Umeå, Sweden, September 4-6, 2017
Available from: 2017-07-31 Created: 2017-07-31 Last updated: 2018-06-09
Björklund, J., Drewes, F. & Jonsson, A. (2017). Finding the N Best Vertices in an Infinite Weighted Hypergraph. Theoretical Computer Science, 682, 30-41
Open this publication in new window or tab >>Finding the N Best Vertices in an Infinite Weighted Hypergraph
2017 (English)In: Theoretical Computer Science, ISSN 0304-3975, E-ISSN 1879-2294, Vol. 682, p. 78p. 30-41Article in journal (Refereed) Published
Abstract [en]

We propose an algorithm for computing the N best vertices in a weighted acyclic hypergraph over a nice semiring. A semiring is nice if it is finitely-generated, idempotent, and has 1 as its minimal element. We then apply the algorithm to the problem of computing the N best trees with respect to a weighted tree automaton, and complement theoretical correctness and complexity arguments with experimental data. The algorithm has several practical applications in natural language processing, for example, to derive the N most likely parse trees with respect to a probabilistic context-free grammar. 

Place, publisher, year, edition, pages
Elsevier, 2017. p. 78
Keywords
Hypergraph, N-best problem, Idempotent semiring
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-132501 (URN)10.1016/j.tcs.2017.03.010 (DOI)000405062100005 ()
Note

Special Issue: SI

Available from: 2017-03-15 Created: 2017-03-15 Last updated: 2018-06-09Bibliographically approved
Björklund, J., Drewes, F. & Jonsson, A. (2016). On the N best problem for hypergraphs. In: A. Maletti (Ed.), Proc. 4th Intl. Workshop on Trends in Tree Automata and Tree Transducers (TTATT 2016): . Paper presented at Workshop on Trends in Tree Automata and Tree Transducers (TTATT 2016).
Open this publication in new window or tab >>On the N best problem for hypergraphs
2016 (English)In: Proc. 4th Intl. Workshop on Trends in Tree Automata and Tree Transducers (TTATT 2016) / [ed] A. Maletti, 2016Conference paper, Published paper (Refereed)
Abstract [en]

We propose an algorithm for computing the $N$ best roots of a weighted hypergraph, in which the weight function is given over an idempotent and multiplicatively monotone semiring. We give a set of conditions that ensures that the weight function is well-defined and that solutions exist. Under these conditions, we prove that the proposed algorithm is correct.  This generalizes a previous result for weighted tree automata, and in doing so, broadens the practical applications.

National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-122474 (URN)
Conference
Workshop on Trends in Tree Automata and Tree Transducers (TTATT 2016)
Available from: 2016-06-17 Created: 2016-06-17 Last updated: 2018-06-07
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