Relevant bibliographies by topics / Parsnip

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Parsnip'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 March 2023

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Journal articles on the topic "Parsnip"

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Jogesh, Tania, Rhiannon Peery, Stephen R. Downie, and May R. Berenbaum. "Patterns of Genetic Diversity in the Globally Invasive Species Wild Parsnip (Pastinaca sativa)." Invasive Plant Science and Management 8, no. 4 (December 2015): 415–29. http://dx.doi.org/10.1614/ipsm-d-15-00024.1.

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AbstractWild parsnip is an invasive species with a global distribution in temperate climates. Parsnips are native to Eurasia and have been cultivated for more than five centuries. It is unclear whether the global invasion of this species is a consequence of escape from cultivation or the accidental introduction of a Eurasian wild subspecies. In this study, we used nuclear ribosomal DNA internal transcribed spacer (ITS) and chloroplast DNA (cpDNA) markers to evaluate the genetic structure of wild parsnip in its native range (Europe) and in three distinct geographic regions where it is considered invasive: eastern North America, western North America, and New Zealand. We also compared wild and cultivated parsnips to determine whether they are genetically distinct. From 112 individuals, we recovered 14 ITS and 27 cpDNA haplotypes. One ITS haplotype was widespread; few haplotypes were rare singletons. In contrast, at least two lineages of cpDNA haplotypes were recovered, with several novel haplotypes restricted to Europe. Cultivated parsnips were not genetically distinct from wild parsnips, and numerous wild parsnip populations shared haplotypes with cultivars. High genetic diversity was recovered in all three regions, suggesting multiple introductions.
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Averill, Kristine M., and Antonio DiTommaso. "Wild Parsnip (Pastinaca sativa): A Troublesome Species of Increasing Concern." Weed Technology 21, no. 1 (March 2007): 279–87. http://dx.doi.org/10.1614/wt-05-186.1.

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Although many of us fondly associate parsnips with a rustic, home-cooked meal, there is also a wild variety that is increasingly causing problems as a weed in North America. The cultivated variety is a subspecies of Pastinaca sativa (Pastinaca sativa ssp. sativa) and contains lower amounts of the problematic furanocoumarins than the wild version. Wild parsnip (Pastinaca sativa L. PAVSA) is an introduced facultative biennial from Eurasia. It has spread throughout the United States and southern Canada and is now colonizing old fields, railroad embankments, roadsides, and waste areas. Wild parsnip contains furanocoumarins, which deter herbivores from eating its foliage. These compounds can also cause phytophotodermatitis in humans and livestock, a condition that results in patches of redness and blisters on the skin when they come into contact with the sap or ingest parts of the plant in the presence of sunlight. Few people, including medical professionals, recognize the plant or associate it with the burns it causes. Recently, wild parsnip has received increasing attention as expanding populations have resulted in more frequent human and livestock contact with the plant. This article reviews important aspects of the etymology, distribution, history, biology, and management of wild parsnip. A key objective of this review is to raise awareness of the potential health problems caused by wild parsnip and to stimulate research that will lead to effective management of this increasingly problematic species.
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Davis, David W., Francis L. Pfleger, and Mando A. Shehata. "‘Andover’ Parsnip." HortScience 24, no. 3 (June 1989): 521–22. http://dx.doi.org/10.21273/hortsci.24.3.521.

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Abstract ‘Andover’ parsnip (Pastinaca sativa L.) is being released for commercial fresh-market and home garden production as a cultivar with desirable root type and resistance to field and storage attack by Itersonilia perplexans Derx. (1-4), which causes a foliar leaf spot, and, in storage, a root canker followed by root deterioration. The disease is commonly known as parsnip canker. A need for resistance to deterioration in storage gave rise to the breeding program. It was found that canker was a major reason for this deterioration, although other organisms are known to be involved.
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Berenbaum, M. R., A. R. Zangerl, and J. K. Nitao. "Constraints on Chemical Coevolution: Wild Parsnips and the Parsnip Webworm." Evolution 40, no. 6 (November 1986): 1215. http://dx.doi.org/10.2307/2408949.

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Berenbaum, M. R., A. R. Zangerl, and J. K. Nitao. "CONSTRAINTS ON CHEMICAL COEVOLUTION: WILD PARSNIPS AND THE PARSNIP WEBWORM." Evolution 40, no. 6 (November 1986): 1215–28. http://dx.doi.org/10.1111/j.1558-5646.1986.tb05746.x.

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Zangerl, Arthur R., and May R. Berenbaum. "Oviposition Patterns and Hostplant Suitability: Parsnip Webworms and Wild Parsnip." American Midland Naturalist 128, no. 2 (October 1992): 292. http://dx.doi.org/10.2307/2426463.

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Zangerl, A. R., and M. R. Berenbaum. "PHENOTYPE MATCHING IN WILD PARSNIP AND PARSNIP WEBWORMS: CAUSES AND CONSEQUENCES." Evolution 57, no. 4 (2003): 806. http://dx.doi.org/10.1554/0014-3820(2003)057[0806:pmiwpa]2.0.co;2.

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Zangerl, A. R., and M. R. Berenbaum. "PHENOTYPE MATCHING IN WILD PARSNIP AND PARSNIP WEBWORMS: CAUSES AND CONSEQUENCES." Evolution 57, no. 4 (April 2003): 806–15. http://dx.doi.org/10.1111/j.0014-3820.2003.tb00292.x.

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Konopiński, Mirosław, Lidia Nowak, Roman Mitura, and Dorota Skiba. "Effect of different pre-sowing tillage on quantity and quality of parsnip (Pastinaca sativa L.) root yield in ridge cultivation." Acta Agrobotanica 64, no. 3 (2012): 47–52. http://dx.doi.org/10.5586/aa.2011.030.

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Parsnip is a very valuable vegetable due to its nutritional value and dietetic quality. It is moreover herbal raw material abundant in active substances. The yield quality of vegetables greatly depends on thorough pre-sowing soil tillage. The present study aimed at evaluating the influence of different presowing soil tillage (medium-deep ploughing, cultivating) and plant growing methods, flat or ridge cultivation, on the yield of parsnip and some biometric traits of its roots. The field experiment was carried out in 1999, 2000 and 2002 on lessive soil with the granulometric composition corresponding to medium silty loam. The parsnip cultivar 'Półdługi Biały' was the experimental plant species. The cultivation of parsnip on ridges had a significant influence on increased total yield of roots and decreased yield of small roots, as compared to flat cultivation. A significant increase in unit weight of the root and its diameter in the top part was also recorded in the latter type of cultivation. Spring pre-sowing tillage had no significant effect on parsnip yields. An increasing trend was observed only for total and marketable root yield in the ploughed plots. When parsnip is grown on lessive soil (which has an unstable structure), plants cultivated on ridges after spring pre-sowing plough are the most beneficial treatment combination.
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Cain, N., S. J. Darbyshire, A. Francis, R. E. Nurse, and M. J. Simard. "The Biology of Canadian weeds. 144. Pastinaca sativa L." Canadian Journal of Plant Science 90, no. 2 (March 1, 2010): 217–40. http://dx.doi.org/10.4141/cjps09110.

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The parsnip, Pastinaca sativa, was introduced to North America shortly after European settlement as an important root-crop. It subsequently escaped cultivation and naturalized as a less palatable “wild” form. Cultivation of parsnip has diminished in Canada to the point where it is now only a minor crop, but the wild form has increased as a troublesome weed, particularly in eastern regions. Wild parsnip is most prevalent in eastern Canada and the northeastern United States, but occurs across the continent except in the far north and extreme southeast. As a monocarpic biennial with a large tap root, it reproduces entirely by seed. A wide variety of habitats and soil types are tolerated. It is considered a noxious weed because of its toxic properties (primarily photo-activated dermatitis) to both humans and livestock. It invades disturbed sites, rights-of-way, pastures, perennial crops, and reduced-tillage fields where it effectively out-competes shorter vegetation. In arable fields, wild parsnip is normally controlled by tillage. Manual removal, cutting, and mowing can be effective in reducing seed production, but direct contact with plants or sap is hazardous. Various herbicides have been reported to be useful in the control of wild parsnip (e.g., glyphosate, 2,4-D, triclopyr, etc.), but little quantitative information is available on application rates and levels of control.Key words: Panais sauvage, Pastinaca sativa, PAVSA, weed biology, wild parsnip
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Dissertations / Theses on the topic "Parsnip"

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Chappell, Lauren. "Characterisation of parsnip canker pathogens and identification of plant resistance." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/91132/.

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Parsnips (Pastinaca sativa) are a speciality crop, covering 3000 hectares across the UK, with a 93,000-tonne production and economic value of greater than £31M annually. Currently, the major constraints to production are losses associated with root canker disease, caused by a range of fungal pathogens. With no specific fungicides, development of long-term, sustainable resistance to parsnip canker is highly desirable. This work characterises the pathogens responsible, and develops tools to facilitate breeding for quantitative resistance to root canker diseases. Isolations and molecular characterisation of pathogens responsible for parsnip canker highlighted a range of fungal species, whilst canker symptoms were found to be clearly associated with certain pathogens. Cylindrocarpon destructans, Mycocentrospora acerina and to a lesser extent Itersonilia pastinacae were identified as the primary pathogens responsible for causing parsnip canker in the UK. Itersonilia spp. isolates from a range of hosts were found to infect parsnip roots and leaves, and produce both chlamydospores and ballistospores at a range of temperatures; furthermore, molecular characterisation failed to differentiate between species. For these reasons, Itersonilia should be described as a single species. For both C. destructans and M. acerina, isolates showed minimal variation in pathogenicity on parsnip roots and seedlings, and exhibited mycelial growth even at low temperatures. Phylogenetic analysis identified a species complex for both pathogens that could not be resolved by the ITS (Internal transcribed spacer) alone. Finally, parsnip root and seedling assays were developed to determine resistance to I. pastinacae, M. acerina and C. destructans within parsnip populations. QTL analysis of a parsnip genotyping population identified a significant QTL conferring resistance to M. acerina for use in a marker assisted breeding programme. The understanding of the pathology gained in this project will facilitate selection of resistant varieties, benefitting breeders, growers and through reduction in control mechanisms, society in general.
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Salim, N. "A study on virus diseases of parsnip (Pastinaca sativa L.)." Thesis, University of Bath, 1990. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235625.

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Sheppard, Andrew W. "Insect herbivore competition and the population dynamics of Heracleum sphondylium L. (Umbelliferae)." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/46560.

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Kilby, Michael. "British literary travellers of the thirties : from Auden and Isherwood to Parsnip and Pimpernell." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389739.

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Kumar, Pawan. "INVESTIGATION ON THE UPTAKE AND PHYSIOLOGICAL EFFECTS OF CuO OR ZnO ENGINEERED NANOPARTICLES IN CARROT, PARSNIP AND WHEAT." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/dissertations/1574.

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Rapid production and usage of engineered nanomaterials (ENPs) in the recent years has highlighted the need to address their potential impact to biological systems. The interaction of ENPs with plant systems is not well known or understood. As plants are the base of all ecosystems, there is a possible threat of ENPs entering food webs and the human food supply. In addition, the mechanism of nanoparticle uptake and toxicity in plant systems is not fully understood so there is considerable opportunity for investigation in this area. To provide an assessment of the potential risk of ENPs to plants, the proposed research has examined the interaction of CuO and ZnO ENPs with carrot, parsnip and wheat. This research was completed in three phases in which different aspects of nanoparticle uptake and toxicity were addressed. Phase I analyzed the uptake and accumulation of CuO and ZnO ENPs in carrot and parsnip and gave information regarding physiological impact. Phase II was aimed at the evaluation of CuO and ZnO ENPs as potential micronutrient fertilizers using nutritionally altered carrots. Phase III was focused on comparing the uptake characteristics of CuO or ZnO ENPs to Cu2+ or Zn2+ ions using specific membrane transport inhibitors in wheat. To accomplish goals of phase I, a preliminary experiment was performed to evaluate the behavior of CuO and ZnO ENPs in aqueous suspensions and get information on the extent of dissolution at increasing concentrations of ENPs. For the main experiment, 192 d old hydroponically grown carrot or parsnip plants were treated for 10 d with increasing concentrations of one of the two ENPs with increasing concentrations of the corresponding metal (i.e. 0, 10, 100, 500, or 1000 mg L-1) in deionized water. An ionic treatment was also included, based on preliminary experiment, to distinguish between ion related and nanoparticle-specific toxicity. Plants of both species accumulated the corresponding metals from ENPs in their storage organs. The metal concentration changed in a dose dependent manner and showed saturation at higher concentration treatments. The outer layer of storage organs or peels for both the plant species accumulated significantly higher concentrations of metal as compared to the flesh. There was a significant difference in the total amount of water transpired during the treatment period, suggesting an imbalance in water relations. Overall, this study has provided information describing the impact of ENPs on these two plants and the accumulation of Cu or Zn from CuO or ZnO ENPs. In Phase II, carrot plants were hydroponically grown for 158 d under normal conditions and subsequently subjected to nutrient regime change in a 30 d pre-treatment. Based on the initial level of Cu or Zn present in nutrient solution, plants were grown in similar nutrient solution except for increasing concentrations of CuSO4.5H2O (0, 0.5 and 2.5 μM) or ZnSO4.7H2O (0, 1 and 5 μM) to generate Deprived, Replete and Surplus sets of plants in pre-treatments. The plants from each of the sets were divided into three subsets to get control, ionic or ENP treated plants and treatments were enforced. Control plants received no Cu or Zn whereas ionic and ENP treated plants received 50 mg Cu L-1 or 100 mg Zn L-1 in sulfate salt and nanoparticle form during the 7d treatment period. The visual results show that ZnO ENPs had similar performance as compared to the ion group whereas in CuO ENPs showed a slightly greater phytotoxic effect(s) as compared to ion treatments. The plant’s Zn nutritional status had a significant effect on uptake of Zn in all analyzed tissues, whereas the effect on the plant’s Cu nutritional status had a mixed response to Cu source and trends showed significant variability. The presence of plants significantly promoted dissolution of ENPs as compared to controls, but the change in nutrient regime had no significant effect on the dissolution behavior of ENPs. Overall, our results show that use ZnO ENPs can be a promising way of providing Zn to plants, but the same may not be true in case of CuO ENPs for the supply of Cu. In Phase III, 25 d hydroponically grown wheat seedlings were exposed to specific membrane transport inhibitors (carbonylcyanide-m-chlorphenylhydrazole, vanadate, lanthanum) in the presence of either ions (Cu2+ or Zn2+) or ENPs (CuO or ZnO) in a 3 d treatment period. Separate treatments consisting of either membrane transport inhibitors or ions or ENPs were also included to serve as a reference along with controls which received deionized water only. In the Cu experiment, elemental analysis of whole plant showed significant difference only in case of CCCP and vanadate with a decrease in Cu concentration in CuO treatments which suggests the transport of CuO ENPs is reduced by the presence of a protonophore or P-type ATPase. The result of Zn experiment found significant differences in Zn accumulation only in case of CCCP in Zn2+ treatments with a decrease in Zn uptake which implies only Zn2+ ions were affected by the presence of a protonophore (CCCP). The results of these experiments provided a mechanistic insight to the uptake of ENPs and ions in the wheat plant. To sum up, the results gathered in this dissertation has provided a comprehensive understanding of the metal uptake characteristics from the corresponding ENPs, given information on the physiological impact of ENPs to selected plants and analyzed a potential use of ENPs to address a global nutritional problem. The results of this study have potential implications for agriculture, food safety, environment, and human health.
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Fanselow, Gisbert, Matthias Schlesewsky, Damir Cavar, and Reinhold Kliegl. "Optimal parsing: syntactic parsing preferences and optimality theory." Universität Potsdam, 1999. http://opus.kobv.de/ubp/volltexte/2011/5716/.

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Kindermann, Jörg. "Experten-Parsing : Parsing und Wissensrepräsentation im texttheoretischen Rahmen /." Hamburg : H. Buske, 1987. http://catalogue.bnf.fr/ark:/12148/cb35566984z.

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Andrei, Ştefan. "Bidirectional parsing." [S.l. : s.n.], 2000. http://www.sub.uni-hamburg.de/disse/134/Disse.pdf.

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Aycock, John Daniel. "Faster Tomita parsing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ34479.pdf.

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Hocking, Ian. "Resources and parsing." Thesis, University of Exeter, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275903.

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Books on the topic "Parsnip"

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Parsnip. Sherborne: Mathew Price, 2007.

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It's me, Parsnip. Sherborne: Mathew Price, 2006.

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Ontario. Ministry of Agriculture and Food. Phoma Canker of Parsnip. S.l: s.n, 1987.

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Porter, Sue. Parsnip and the pink blanket. New York: Dorling Kindersley, 2000.

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Ontario. Ministry of Agriculture and Food. Commercial Parsnip Production in Ontario. S.l: s.n, 1987.

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Wild parsnip: Pastinaca sativa L. Newtown Square, PA: USDA Forest Service, Northeastern Area, Forest Health Staff, 2006.

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Porter, Sue. Parsnip: A lift-the-flap book. New York: DK Pub., 1997.

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Porter, Sue. Parsnip: A lift-the-flap book. Denton, TX: Mathew Price, 2008.

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It's me, Parsnip: A lift-the-flap book. Denton, TX: Mathew Price, 2008.

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Spade, skirret and parsnip: The curious history of vegetables. Stroud: Sutton, 2004.

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Book chapters on the topic "Parsnip"

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Allender, Charlotte J. "Parsnip." In Carrots and related Apiaceae crops, 319–24. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789240955.0319.

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Sastry, K. Subramanya, Bikash Mandal, John Hammond, S. W. Scott, and R. W. Briddon. "Pastinaca sativa (Parsnip)." In Encyclopedia of Plant Viruses and Viroids, 1745–48. New Delhi: Springer India, 2019. http://dx.doi.org/10.1007/978-81-322-3912-3_669.

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Goldman, I. L. "The root vegetables: beet, carrot, parsnip, and turnip." In The physiology of vegetable crops, 399–420. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781786393777.0399.

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Chappell, Lauren H. K., and Adrian J. Dunford. "Parsnip (Pastinaca sativa L.) Breeding for the Future." In Advances in Plant Breeding Strategies: Vegetable Crops, 239–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66965-2_6.

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Dinh, Thuy Ngoc, and Fenty Lidya Siregar. "Intercultural Competence and Parsnip: Voices From Teachers of English in Australia." In Intercultural Competence Past, Present and Future, 255–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8245-5_12.

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Dinh, Thuy Ngoc, and Fenty Lidya Siregar. "Intercultural Competence and Parsnip: Voices From Teachers of English in Australia." In Intercultural Competence Past, Present and Future, 255–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8245-5_12.

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Grella, Matteo, and Marco Nicola. "Parsit at Evalita 2011 Dependency Parsing Task." In Lecture Notes in Computer Science, 21–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35828-9_3.

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Naumann, Sven, and Hagen Langer. "Was ist Parsing?" In Parsing, 3–18. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-90877-3_1.

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Naumann, Sven, and Hagen Langer. "LR-Parsing." In Parsing, 183–96. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-90877-3_10.

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Naumann, Sven, and Hagen Langer. "Der Tomita-Algorithmus." In Parsing, 197–222. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-90877-3_11.

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Conference papers on the topic "Parsnip"

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Peng, Yuanfeng, Benjamin P. Wood, and Joseph Devietti. "PARSNIP." In MICRO-50: The 50th Annual IEEE/ACM International Symposium on Microarchitecture. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3123939.3123946.

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Harvey, Jeff. "Interactions between native and invasive hogweeds, the parsnip webworm, and its parasitoid/hyperparasitoid complex." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.105604.

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Srivastava, Shashank, Amos Azaria, and Tom Mitchell. "Parsing Natural Language Conversations using Contextual Cues." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/571.

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In this work, we focus on semantic parsing of natural language conversations. Most existing methods for semantic parsing are based on understanding the semantics of a single sentence at a time. However, understanding conversations also requires an understanding of conversational context and discourse structure across sentences. We formulate semantic parsing of conversations as a structured prediction task, incorporating structural features that model the `flow of discourse' across sequences of utterances. We create a dataset for semantic parsing of conversations, consisting of 113 real-life sequences of interactions of human users with an automated email assistant. The data contains 4759 natural language statements paired with annotated logical forms. Our approach yields significant gains in performance over traditional semantic parsing.
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Zhang, Rui, Sheng Tang, Min Lin, Jintao Li, and Shuicheng Yan. "Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/479.

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Most of existing scene parsing methods suffer from the serious problems of both inconsistent parsing results and object boundary shift. To tackle these problems, we first propose an iterative Global-residual Refinement Network (GRN) through exploiting global contextual information to predict the parsing residuals and iteratively smoothen the inconsistent parsing labels. Furthermore, we propose a Local-boundary Refinement Network (LRN) to learn the position-adaptive propagation coefficients so that local contextual information from neighbors can be optimally captured for refining object boundaries. Finally, we cascade the proposed two refinement networks after a fully residual convolutional neural network within a uniform framework. Extensive experiments on ADE20K and Cityscapes datasets well demonstrate the effectiveness of the two refinement methods for refining scene parsing predictions.
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Zhang, Rui, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, and Shuicheng Yan. "High Resolution Feature Recovering for Accelerating Urban Scene Parsing." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/161.

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Both accuracy and speed are equally important in urban scene parsing. Most of the existing methods mainly focus on improving parsing accuracy, ignoring the problem of low inference speed due to large-sized input and high resolution feature maps. To tackle this issue, we propose a High Resolution Feature Recovering (HRFR) framework to accelerate a given parsing network. A Super-Resolution Recovering module is employed to recover features of large original-sized images from features of down-sampled input. Therefore, our framework can combine the advantages of (1) fast speed of networks with down-sampled input and (2) high accuracy of networks with large original-sized input. Additionally, we employ auxiliary intermediate supervision and boundary region re-weighting to facilitate the optimization of the network. Extensive experiments on the two challenging Cityscapes and CamVid datasets well demonstrate the effectiveness of the proposed HRFR framework, which can accelerate the scene parsing inference process by about 3.0x speedup from 1/2 down-sampled input with negligible accuracy reduction.
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Li, Ying, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, and Luo Si. "Self-attentive Biaffine Dependency Parsing." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/704.

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The current state-of-the-art dependency parsing approaches employ BiLSTMs to encode input sentences.Motivated by the success of the transformer-based machine translation, this work for the first time applies the self-attention mechanism to dependency parsing as the replacement of the BiLSTM-based encoders, leading to competitive performance on both English and Chinese benchmark data. Based on the detailed error analysis, we then combine the power of both BiLSTM and self-attention via model ensembles, demonstrating their complementary capability of capturing contextual information. Finally, we explore the recently proposed contextualized word representations as extra input features, and further improve the parsing performance.
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Rongali, Subendhu, Konstantine Arkoudas, Melanie Rubino, and Wael Hamza. "Training Naturalized Semantic Parsers with Very Little Data." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/604.

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Semantic parsing is an important NLP problem, particularly for voice assistants such as Alexa and Google Assistant. State-of-the-art (SOTA) semantic parsers are seq2seq architectures based on large language models that have been pretrained on vast amounts of text. To better leverage that pretraining, recent work has explored a reformulation of semantic parsing whereby the output sequences are themselves natural language sentences, but in a controlled fragment of natural language. This approach delivers strong results, particularly for few-shot semantic parsing, which is of key importance in practice and the focus of our paper. We push this line of work forward by introducing an automated methodology that delivers very significant additional improvements by utilizing modest amounts of unannotated data, which is typically easy to obtain. Our method is based on a novel synthesis of four techniques: joint training with auxiliary unsupervised tasks; constrained decoding; self-training; and paraphrasing. We show that this method delivers new SOTA few-shot performance on the Overnight dataset, particularly in very low-resource settings, and very compelling few-shot results on a new semantic parsing dataset.
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Karkare, Amey, and Nimisha Agarwal. "ParseIT." In the 10th Annual ACM India Compute Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3140107.3140123.

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Karkare, Amey, and Nimisha Agrawal. "ParseIT." In SIGCSE '16: The 47th ACM Technical Symposium on Computing Science Education. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2839509.2850513.

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Zhang, Yu, Houquan Zhou, and Zhenghua Li. "Fast and Accurate Neural CRF Constituency Parsing." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/560.

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Estimating probability distribution is one of the core issues in the NLP field. However, in both deep learning (DL) and pre-DL eras, unlike the vast applications of linear-chain CRF in sequence labeling tasks, very few works have applied tree-structure CRF to constituency parsing, mainly due to the complexity and inefficiency of the inside-outside algorithm. This work presents a fast and accurate neural CRF constituency parser. The key idea is to batchify the inside algorithm for loss computation by direct large tensor operations on GPU, and meanwhile avoid the outside algorithm for gradient computation via efficient back-propagation. We also propose a simple two-stage bracketing-then-labeling parsing approach to improve efficiency further. To improve the parsing performance, inspired by recent progress in dependency parsing, we introduce a new scoring architecture based on boundary representation and biaffine attention, and a beneficial dropout strategy. Experiments on PTB, CTB5.1, and CTB7 show that our two-stage CRF parser achieves new state-of-the-art performance on both settings of w/o and w/ BERT, and can parse over 1,000 sentences per second. We release our code at https://github.com/yzhangcs/crfpar.
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Reports on the topic "Parsnip"

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Taite, S. P. Deformation in the Parsnip River Valley, McLeod Lake map area, British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1989. http://dx.doi.org/10.4095/127460.

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Hayes, Philip J. Flexible Parsing. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada185595.

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Weitz, Richard. Parsing Chinese-Russian Military Exercises. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ada616312.

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Dmitri N. Mokhov et al. MAD parsing and conversion code. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/756970.

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Obua, Steven. Indentation-Sensitive Parsing with Pyramids. Steven Obua (trading as Recursive Mind), March 2022. http://dx.doi.org/10.47757/pwp.1.

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Sutton, Charles, and Andrew McCallum. Joint Parsing and Semantic Role Labeling. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439390.

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Kahn, Jeremy G., Mari Ostendorf, and Ciprian Chelba. Parsing Conversational Speech Using Enhanced Segmentation. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada457886.

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Dorr, Bonnie J. Principle-Based Parsing for Machine Translation. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada199183.

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Wills, Linda M. Automated Program Recognition by Graph Parsing. Fort Belvoir, VA: Defense Technical Information Center, July 1992. http://dx.doi.org/10.21236/ada259609.

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Ma, Huanfeng, Burcu Karagol-Ayan, David Doermann, Doug Oard, and Jianqiang Wang. Parsing and Tagging of Bilingual Dictionary. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada459226.

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