A Treebank-based Investigation of IPP-triggering Verbs in Dutch

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Example 21: Fragment of the original PASSAGE file used to produce the MAF and parts 6 Next steps Even if the proposal, building upon the already quite mature TigerXML format, does already present all the technical features to cover the characteristics of the SynAF metamodel, making it an ISO standard, usable for the largest possible scientific community will require some additional efforts. In particular, beyond the provision of simple examples, we will need to put to the test by confronting it with large-scale treebanks as they are available in the various languages tackled in this paper. In particular, this will bring more ideas as to the data categories that should be added to ISOCat in order to get a fully-fledged environment for the description of annotation schemes for syntactic data. References [1] ISO 24615:2010. Language resource management – Syntactic annotation framework (SynAF). [2] König, E. & Lezius, W. (2000). The TIGER language – A Description Language for Syntax Graphs. In: Proceedings of COLING 2000, 1056–1060. 58
[3] Leech G. N., Barnett, R. & Kahrel, P. (1995). EAGLES Final Report and Guidelines for the Syntactic Annotation of Corpora. EAGLES Document EAGTCWG-SASG. Pisa, Italy. [4] Ide, N. & Romary, L. (2003). Encoding Syntactic Annotation. In: A. Abeillé (Ed.) Treebanks, Springer [available online at http://hal.archives-ouvertes.fr/hal-00079163]. [5] ISO/FDIS 24611. Language resource management – Morphosyntactic annotation framework (MAF). [6] Alarcos-Llorach, E. (2004[1999]). Gramática de la lengua española. Madrid: Espasa Libros, S.L.U. [7] Real Academia Española (2009). Nueva gramática de la lengua española. Madrid: Espasa Libros, S.L.U. [8] Pineda, L. & Meza, I. (2005). The Spanish pronominal clitic system. In: SEPLN (Revista de la Sociedad Española para el Procesamiento del Lenguaje Natural) 34 [available online at http://www.sepln.org/revistaSEPLN/revista/34/06.pdf (visited on 28 August 2012)]. [9] Ryding, K. C. (2005). A Reference Grammar of Modern Standard Arabic. Cambridge: Cambridge University Press. [10] Borer, H. (2008). Compounds: The View from Hebrew. In: R. Lieber & P. Štekauer (eds.), The Oxford Handbook of Compounds. Oxford: Oxford University Press, 491–511. [11] Nurse, D. & Philippson, G. (2003). The Bantu Languages. London: Routledge. [12] Bresnan, J. (2000). Lexical-Functional Syntax. Blackwell Publishing: MA. [13] Chang, Suk-Jin (1996). Korean. Amsterdam: John Benjamins Publishing Co. [14] Sohn, H.-M. (1999). The Korean Language. Cambridge: Cambridge University Press. [15] Zipser, F., & Romary, L. (2010). A Model Oriented Approach to the Mapping of Annotation Formats Using Standards. In Proceedings of the Workshop on Language Resource and Language Technology Standards, LREC 2010. Malta, 7-18. 59
Page 1 and 2: A Treebank-based Investigation of I
Page 3 and 4: participle and a (te-)infinitival c
Page 5 and 6: Some verbs occur twice, since they
Page 7 and 8: Profiling Feature Selection for Nam
Page 9 and 10: prepositional objects (FOPP, OPP).
Page 11 and 12: the limited size of annotated data
Page 13 and 14: with high precision typically have
Page 15 and 16: ‘This was “not significantly”
Page 17 and 18: The preposition durch typically has
Page 19 and 20: Non-Projective Structures in Indian
Page 21 and 22: the sequential order of nodes in a
Page 23 and 24: extra-posed relative clause that ge
Page 25 and 26: Experiments on Dependency Parsing o
Page 27 and 28: for mitigating the effects of spars
Page 29 and 30: obtained with MALTParser is 76.61%
Page 31 and 32: as a standardised serialisation for
Page 33 and 34: constituency and dependency, possib
Page 35 and 36: SynAF and/or in . However, they sha
Page 37 and 38: shows how some elements that are no
Page 39 and 40: Example
Page 41 and 42: ‏ Example 8: represent
Page 43 and 44:
Page 45 and 46: Chinese) as the direct object NP.
Page 47 and 48: Example 15: Tokens and Word Forms
Page 49 and 50: In a second experiment, a dataset w
Page 51:
Page 55 and 56: Effectively long-distance dependenc
Page 57 and 58: In French, another case of eLDD is
Page 59 and 60: elativization, it-clefts or questio
Page 61 and 62: 4.2.3 Annotation methodology Becaus
Page 63 and 64: Number of occurrences in FTB +SEQTB
Page 65 and 66: producing treebank based LFG approx
Page 67 and 68: Logical Form Representation for Lin
Page 69 and 70: gerundives for a total amount of so
Page 71 and 72: object+indirect object/object one.
Page 73 and 74: (VP (VB patch) ) ) ) (VP (VBZ is) (
Page 75 and 76: Types Adverb. Adject. Verbs Nouns T
Page 77 and 78: Eventually we may comment that ther
Page 79 and 80: DeepBank: A Dynamically Annotated T
Page 81 and 82: from another already existing one,
Page 83 and 84: to parse now does. The extra manual
Page 85 and 86: In the derivation show in Figure 1,
Page 87 and 88: 4 Patching Coverage Gaps with An Ap
Page 89 and 90: will enable further improvements in
Page 91 and 92: ParDeepBank: Multiple Parallel Deep
Page 93 and 94: 2 The ParDeepBank The PTB has emerg
Page 95 and 96: undergone extensive scientific scru
Page 97 and 98: the second combines the structures
Page 99 and 100: Sofia University). Each sentence wa
Page 101 and 102: data, and improvements in the infra
Page 103 and 104:
The Effect of Treebank Annotation G
Page 105 and 106:
ut without feature structures. This
Page 107 and 108:
only the lexicon is fine-grained to
Page 109 and 110:
Automatic Coreference Annotation in
Page 111 and 112:
manually annotated Czech sentences.
Page 113 and 114:
citizens of Bilbao] are very involv
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4.1.3 Coreference Selector Module T
Page 117 and 118:
Nominal P R F1 MUC 75.33% 81.33% 78
Page 119 and 120:
[9] G. Doddington, A. Mitchell, M.
Page 121 and 122:
Analyzing the Most Common Errors in
Page 123 and 124:
Graph 1 shows results of subsequent
Page 125 and 126:
in the semantic type). This situati
Page 127 and 128:
Will a Parser Overtake Achilles? Fi
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annotation is also based on a depen
Page 131 and 132:
Set Name Sentences Tokens % Train/T
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dency relations (PRED, OBJ, SBJ, AD
Page 135 and 136:
ton and Stacklazy), we trained a mo
Page 137 and 138:
Feature Function Column Name Addres
Page 139 and 140:
Using Parallel Treebanks for Machin
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phrases are generated by a shallow
Page 143 and 144:
Figure 2: A Kybot p
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SUJ NP SENT MOD PP NP PP PP NP NP P
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Checkpoint Instances Google PT Our
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6 Conclusions In this paper we have
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An integrated web-based treebank an
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16] and we have earlier reported fr
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Figure 2: Screenshot of the interfa
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ple subcategorization frames may be
Page 159 and 160:
4 Integrated interface for annotati
Page 161 and 162:
of the 5th International Conference
Page 163 and 164:
Translational divergences and their
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posed so far, Cyrus’ work did not
Page 167 and 168:
allowed an appropriate coverage of
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damentales [...] 10 (the universal
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for all lex_pair(s,t) do if head an
Page 173 and 174:
the treatment of typical translatio
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Building a treebank of noisy user-g
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Phenomenon Attested example Std. co
Page 179 and 180:
Figure 1: French Social Media Bank
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Impact of treebank characteristics
Page 183 and 184:
Det Adj N (a) Danish Det Adj N (b)
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sv: Bestämmelserna i detta avtal f
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100 90 80 Unlabelled attachment 70
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vidner , tilhørere og tiltalte wit
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mance is not inconsiderable, as was
Page 193 and 194:
Genitives in Hindi Treebank: An Att
Page 195 and 196:
A genitive can occur with complex p
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quite high. This motivates us towar
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A Treebank-based Investigation of IPP-triggering Verbs in Dutch

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