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cally equivalent solution. 2. The solution adopted in the customized TEI schema corresponds to a text phenomenon which has not been considered by the DTA-BF so far and which in turn leads to a modification of the DTA-BF. 3. The external text corpus cannot be automatically converted, either because the underlying TEI schema is too flexible thus leading to structuring ambiguities (cf. section 1), or because the schema is applied inconsistently over the text collection. Since this last case requires manual intervention, it is only considered for external texts which are stable, either because the project is finished, or because the quality of the transcription and the structural encoding is sufficient, which means no additional annotation work is likely to be carried out on the source text. The customized TEI schema of the project Dinglers Polytechnisches Journal may serve as an example for the first case. This schema defines missing transcriptions due to illegibility of the text source as follows: 20 [Fehlender Text (engl.: missing text)] Even though the DTA-BF does not include the TEI element , this expression can easily be converted into the equivalent of the DTA-BF annotation: The following two examples illustrate the second case, i.e. modifications of the DTA-BF according to the requirements of external corpus projects: The Blumenbach online project provides editorial figure descriptions (), a kind of additional information about the source text given by the editor. Such additional information was not foreseen by the DTA-BF. Since the is only a special case of an editorial comment, the DTA-BF element was extended by the attribute-value combination @resp="editorial". With this extension, we were able to preserve the figure descriptions 20 Cf. dingler.culture.hu-berlin.de/article/pj003/ar003042 for an example. of the edited Blumenbach texts and to generally allow for editorial comments elsewhere. Furthermore, modifications of the DTA-BF may become necessary due to the integration of new (special) text types in the DTA corpora. E.g. in the context of the DFG funded project AEDit Frühe Neuzeit (Archiv-, Editions- und Distributionsplattform für Werke der Frühen Neuzeit) the Forschungsstelle für Personalschriften (Academy of Sciences and Literature in Mainz) is currently digitizing funeral sermons of the former municipal library in Wrocław. The digitized texts are being annotated according to the DTA-BF. The addition of new specific @type-values for elements became necessary in order to allow for the naming of different text types within a funeral sermon. The new values added to the existing value selection were prefixed fs in order to limit their usage to the document type “funeral sermon” (e.g. fsSermon, fsConsolationLetter, fsCurriculumVitae, fsEpitaph etc.). However, possible modifications of the DTA- BF are considered carefully in order to avoid negative effects on the annotation consistency of the DTA corpus. 5 Conclusion and further prospects In this article, we have presented the DTA ‘base format’, a strict subset of TEI P5. The DTA-BF has been designed and developed with the goal to cope with a large variety of text types of written German corpora. It is a reasonable common denominator for a large reference corpus of the historical New High German ranging from 1650 to 1900. It goes without saying that the success of the DTA-BF is largely dependent on its adoption by other projects, namely the number of documents encoded in the format. Establishing the usage of the DTA-BF in a broader context may be supported considerably within a large infrastructure such as provided by CLARIN and, for the German context, CLARIN-D, where major text corpus providers are gathered pursuing the goal to define policies which guarantee the interoperability of resources which are integrated into the infrastructure. The Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) as a partner of the CLARIN-D project, as a future CLARIN Center, and as the coordinator of 390 Proceedings of KONVENS 2012 (LThist 2012 workshop), Vienna, September 21, 2012
the work package ‘Resources and Tools’ plays an important role in the discussion process. In addition, a CLARIN-D corpus project has recently been started with the goal to curate already existing corpus texts of the 15 th to 19 th century and to integrate them into the CLARIN-D infrastructure by using the DTA-BF as a starting point, thus enabling the DTA-BF to evolve in an environment of even more heterogeneous text resources. The project partners of this CLARIN-D curation project are the BBAW (coordination), the Herzog August Library of Wolfenbüttel, the Institute for the German Language Mannheim, and the University of Gießen. References Lou Burnard, and Syd Bauman. 2012. P5: Guidelines for Electronic Text Encoding and Interchange, Version 2.1.0, June 17 th , 2012. www.teic.org/release/doc/tei-p5-doc/en/html. Lou Burnard, and C. M. Sperberg-McQueen. 2006. TEI Lite: Encoding for Interchange: an introduction to the TEI – Revised for TEI P5 release (February 2006). www.teic.org/Guidelines/Customization/Lite/. Michelle Dalmau, and Melanie Schlosser. 2011. Challenges of serials text encoding in the spirit of scholarly communication. In: Library Hi Tech 28,3 (2011), pp. 345-359. http://dx.doi.org/10.1108/07378831011076611. Michael Day. 2010. IMPACT Best Practice Guide: Metadata for Text Digitisation & OCR. www.impact-project.eu/uploads/media/IMPACTmetadata-bpg-pilot-1.pdf/. Alexander Geyken. 2007. The DWDS corpus: A reference corpus for the German language of the 20 th century. In: Christiane Fellbaum (Hg.): Collocations and Idioms: Linguistic, lexicographic, and computational aspects. London, 23–41. Alexander Geyken, Susanne Haaf, Bryan Jurish, Matthias Schulz, Christian Thomas, and Frank Wiegand. 2012. TEI und Textkorpora: Fehlerklassifikation und Qualitätskontrolle vor, während und nach der Texterfassung im Deutschen Textarchiv. In: Jahrbuch für Computerphilologie, Jg. 9, 2012. Susanne Haaf, Frank Wiegand, and Alexander Geyken. 2012. Measuring the correctness of double-keying: Error classification and quality control in a large corpus of TEI-annotated historical text. Accepted to be published in the Journal of the Text Encoding Initiative 3, 2012. Institute for the German Language (IDS) Mannheim. 2012. IDS-Textmodell: Unterschiede gegenüber XCES. www.idsmannheim.de/kl/projekte/korpora/idsxces.html (accessed June 24 th , 2012). TEI SIG on Libraries. 2011. Best Practices for TEI in Libraries. A TEI Project. Ed. by Kevin Hawkins, Michelle Dalmau, and Syd Bauman, Version 3.0 (October 2011). www.teic.org/SIG/Libraries/teiinlibraries/main-driver.html. Stephen Ramsay, and Brian Pytlik Zillig. 2011. Code Generation Techniques for Document Collection Interoperability. Chicago Colloquium on Digital Humanities and Computer Science 2011. http://chicagocolloquium.org/wpcontent/uploads/2011/11/dhcs2011_submission_6.pdf. Maik Stührenberg. 2012. Auszeichnungssprachen für linguistische Korpora: theoretische Grundlagen, De-facto-Standards, Normen. Bielefeld: Universität Bielefeld. urn:nbn:de:hbz:361-24927723. TextGrid. 2007–2009. TextGrid’s Baseline Encoding for Text Data in TEI P5. www.textgrid.de/fileadmin/TextGrid/reports/baselineall-en.pdf (accessed June 24 th , 2012). Perry Trolard. 2011. TEI Tite – A recommendation for off-site text encoding. Version 1.1, September 2011. www.tei-c.org/release/doc/tei-p5- exemplars/html/tei_tite.doc.html. John Unsworth. 2011. Computational Work with Very Large Text Collections. Interoperability, Sustainability, and the TEI. Journal of the Text Encoding Initiative 1 (June 2011). http://jtei.revues.org/215 (access June 24 th , 2012). Frank Wiegand, and Alexander Geyken. Quality assurance of large TEI corpora. Poster, presented at the 2011 Annual Conference and Members’ Meeting of the TEI Consortium: Philology in the Digital Age. Würzburg, 2011. www.deutschestextarchiv.de/doku/tei-mm- 2011_poster.pdf. Brian Pytlik Zillig. 2009. TEI Analytics: converting documents into a TEI format for cross-collection text analysis. Literary and Linguistic Computing, 24(2), 187–192. doi:10.1093/llc/fqp005. Brian Pytlik Zillig, Syd Bauman, Julia Flanders, and Steve Ramsay. 2012. MONK TEIAnalytics. Target schema for MONK ingestion transformation. segonku.unl.edu/teianalytics/TEIAnalytics.html (accessed June 24 th , 2012). 391 Proceedings of KONVENS 2012 (LThist 2012 workshop), Vienna, September 21, 2012
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11 th Conference on Natural Languag
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Table of Contents Main conference P
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Comparing variety corpora with vis-
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LexSem 2012: Workshop on Recent Dev
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KONVENS 2012 The 11 th Conference o
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Organizers: Jeremy Jancsary (ÖGAI/
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Ines Rehbein (Potsdam University) M
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Integrating viewpoints into newspap
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Phonetically aided syntactic parsin
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The Statistical Approach to Natural
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Data-driven Knowledge Extraction fo
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4 The Different Relations Types In
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Relation Type #Patterns Examples Su
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Suits-to Served-with Substituted-by
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References Timothy Chklovski and Pa
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1.2 Problem Definitions In a MRA, t
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oot person organisation product ...
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Group Organis. Persons Products all
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Method α α+β α+γ all SentiWS 0
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A Supervised POS Tagger for Written
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Our tagset mixes and matches tags a
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ecause the enclitic pronoun is an i
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stochastic rules as opposed to larg
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Kevin Duh, and Katrin Kirchhoff. 20
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forms, and that existentials can be
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Pseudo Verb Punctuation PNC
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NLP Workflow for On-line Definition
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nological phrases on the basis of p
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Figure 2: A screenshot of the entir
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When analyzing the evaluation sets
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Projecting Semantic Roles via Tai M
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quent prediction, return it (iii) i
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for the B/T/FT settings. This is pr
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ut it is implied by Table 3 and Fig
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References Wanxiang Che, Zhenghua L
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Our ultimate goal is to develop com
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ADORNING CAUSE_FLUIDIC_MOTION COTHE
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English nouns, verbs, adjectives, a
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considerably worse than FrameNet. T
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Extraction. In Proceedings of the 1
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lexicon from a document-derived voc
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Initialize hypernym set H to contai
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ulary distance. Let d(a, b) denote
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the reduced lexicon (243) was neare
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Adding nominal spice to SALSA - fra
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SALSA verbs nouns 0 FE 0 2 1 FE 68
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gen, which in one of its meanings i
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In the next section we describe how
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Acknowledgments This work was funde
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most commonly used (Turney and Pant
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anteed because the forward feature
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5 000 feat ICA50 SVD50 SENNA Semcat
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words bicycle and tricycle go with
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of the Twelfth European Conference
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incorporate the context information
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those candidate phrases that are an
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5.2 Evaluation Metrics for WPD The
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Runs F-measures α=0.5 α=0.2 Pur.
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Evaluations (SemEval-2007), June (2
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2 Related Work The majority of pape
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and Roth, 2009; Lin and Wu, 2009).
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Features Dev Test CoNLL-2003 w 0 +
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Feature Dev Test Test+ — 93.78 91
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the Joint Conference of the 47th An
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tion. It was first included as a sp
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indicates the presence of the ellip
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[Armada britainiarrak] [Ipar Irland
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Información, (JOTRI 2003), pages 1
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Phonetically aided Syntactic Parsin
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mar network or PCFG. Grammar networ
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phonetic confusion that has the con
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in confusion in the network. This i
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Linguistic analyses of the LAST MIN
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Table 1: Comparison between corpora
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Table 2: Most frequent POS patterns
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Table 3: A problematic dialog situa
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6 Summary We have presented the cur
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S-restricted monotone alignments St
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s k n i i: f phh ohehnh ih xh s k n
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Dataset µ G µ P P [G>15] P [P >15
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Perplexity H(L | P ) 2PKE-Uni 7.002
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(1, 1) (2, 1) (3, 1) (4, 1) (1, 2)
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Use of linguistic features for impr
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whereas English has a verb-initial
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Accuracy of Accuracy of Accuracy of
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English Persian Train: Sentences 30
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to compensate for sparsity of paral
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Name # Documents # Tokens # Lemmas
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Figure 1: Precision-Recall graphs c
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A Multi-level Annotation Model for
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and sentence level with the aim of
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(Schmid, 1995; Schiller et al., 199
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EI EII Tag AKR MARK Typography ITER
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References Saima Aman and Stan Szpa
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Robust processing of noisy web-coll
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1. first strip of the papery skin o
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References Jon Chamberlain, Massimo
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ments between its LSRs. Additionall
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Figure 3: In the sense comparison v
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Using Information Retrieval Technol
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against every tree. Others avoid th
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A 0.780715 NN Figure 4: A sp
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# #Documents Index Size 1 29,704 1.
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References P. Bański, C. Belica, H
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(2012), in their corpus study of va
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DET NSUBJ ADV OBJA AMOD Seine Tante
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A Computational Semantic Analysis o
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(6) a. Is Spain very large? b. Is B
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References Alan C. Bale. 2008. A Un
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219 Proceedings of KONVENS 2012 (Ma
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221 Proceedings of KONVENS 2012 (Ma
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Using subcategorization frames to i
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5.2 Word clustering based on the Le
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erage of english grammars. In Proce
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cases not disambiguated using langu
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Not surprisingly, the results show
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Automatic Identification of Languag
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Differences also appear at the synt
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Acknowledgments The authors express
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2 Related Work Previous work on POS
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The XY tag is used for all non-word
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Comparing Variety Corpora with Vis-
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INPUT variety corpus comparability
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References Andrea Abel and Stefanie
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Features Context features (token wi
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0.7 0.7 0.6 0.6 0.5 0.5 F-measure 0
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ties into fine-grained classes. In
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verbials (e.g., therefore, still).
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word raw freq. non conn. conn. (of
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Corpus-based Acquisition of German
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Events Objects IPrec CPrec IPrec CP
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References Marco Baroni, Silvia Ber
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Preface The present proceedings con
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Workshop Program Friday, September
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Unsupervised Sentiment Analysis wit
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pling (Geman and Geman, 1984) to es
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References Anders Björkelund, Bern
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Class # Events in % neutral 45’01
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3.1.1 Rules Let t 1..n be tokens of
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Human 6 System 6 Human 4 System 4 A
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Codebuch Akteursanalyse. rev. 2011.
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of our work in the whole applicatio
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3.4 Negation and graduation Valence
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local context. For instance, in une
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n’était pas très favorable au G
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Domain-specific variation of sentim
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query building blocks comments real
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References Monica Bednarek. 2006. E
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3 Basic Methodology of Annotation T
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(3) A. V případě jeho kandidatur
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4.3 Auxiliary data - Mall.cz We hav
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Overlap f-score Source 0.750 Polar
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A Phrase-Based Opinion List for the
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the Stuttgart-Tübingen Tagset (STT
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As for noun-based opinion phrases a
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More than half of the words and phr
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treebank. In Proceedings of the Wor
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Apart from these, we distinguish op
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close variants)”. In fact importa
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What is the Meaning of 5 *’s? An
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For each category, we follow (Const
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Positivity Term 2.87692577130 elske
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In recent years, the use of rating
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KONVENS 2012 LThist 2012: First Int
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Organisation Committee: Thierry Dec
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Workshop Program Friday, September
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Rule-Based Normalisation of Histori
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isation rules were applied to the i
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ments in the gold standard have bee
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Page 341 and 342: proach. References Maria Ågren, Ro
Page 343 and 344: 2 Related Work There has been consi
Page 345 and 346: vided to ensure that they are norma
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Page 349 and 350: ization (rather than modernization)
Page 351 and 352: The Sketch Engine as infrastructure
Page 353 and 354: 2.1 The Corpus of English Dialogues
Page 355 and 356: Other notable contrasts are that 17
Page 357 and 358: Evaluating a Post-editing Approach
Page 359 and 360: Figure 1: Example of a marriage lic
Page 361 and 362: all possible concatenations of indi
Page 363 and 364: Table 3: Post-editing results. Time
Page 365 and 366: okstaffua, bokstaffwa, bokstafwa, b
Page 367 and 368: Rule Cost v↔u 0.1 v↔w 0.1 u↔o
Page 369 and 370: graphic word boundaries and conside
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Page 377 and 378: of the EACL 2009 Workshop on GEMS:
Page 379 and 380: Most of the research on genre class
Page 381 and 382: Precision Recall F 1 Unigrams 0.551
Page 383 and 384: The DTA ‘base format’: A TEI-Su
Page 385 and 386: Lib are complementary in the sense
Page 387 and 388: inline metadata solutions for edito
Page 389: ing. The fourth level contains an e
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Page 395 and 396: Corrections by the editor were omit
Page 397 and 398: Accuracy N % All Words 781/1000 78.
Page 399 and 400: $$ $$ $$ $$ $$ $$ $$ $$ $$ Figure 4
Page 401 and 402: Digitised Historical Text: Does it
Page 403 and 404: 3 Related Work Previous research on
Page 405 and 406: 5.1 End-of-line Soft Hyphen Deletio
Page 407 and 408: quite difficult to get an idea of h
Page 409 and 410: References Ahmad Abdulkader and Mat
Page 411 and 412: cision, recall, and F1. Section 4 d
Page 413 and 414: not corrected corrected p P R F1 P
Page 415 and 416: From Semi-Automatic to Automatic Af
Page 417 and 418: Figure 2: ER-Diagramm of the Morphi
Page 419 and 420: Figure 4: Morphilizer’s implement
Page 421 and 422: Figure 6: Architecture of Morphorm
Page 423 and 424: References Harald R. Baayen, R. Pie
Page 425 and 426: edition has been adopted. This is d
Page 427 and 428: marginalia, emendations or punctuat
Page 429 and 430: Word Lemma Class Subclass Type Tens
Page 431 and 432: Figure 3. Sample screenshot of comp
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Page 435 and 436: English) closely and discusses the
Page 437 and 438: Workshop Program Friday, September
Page 439 and 440: verbs were collected mostly from an
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3 Theoretical Background Let us now
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are sensible to semantic properties
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Cançado, Márcia and Amaral, Luana
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morphological tagger for Russian la
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whom/which something is taken. (7cz
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Verb class same frame different fra
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Construction Grammar are introduced
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posed to Hon åker på måndag ‘S
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nitions of Agent, for example. Inst
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Framenet++, VR dnr 2010-6013), by t
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Källström and Inger Lindberg, edi
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scoring function σ : W ×L×W →
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esults in the triple 〈heutige Son
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Unlexicalized links 7,833,635 n (i)
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The difference in accuracies betwee
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Towards high-accuracy bilingual phr
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over a set of candidate translation
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each soft restriction soft m set on
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(> 98% in scalable precision) and a
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References Colin Bannard and Chris
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Preface The need for automatically
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15:50-16:15 Coffee break 16:15-16:4
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Standards for the technical infrast
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⎡ ⎤ phrase CATEGORY np ⎡ ⎤
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The representation of the feature v
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ement, while the interpretation as
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hand, checking the validity of FSR
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Standardizing metadata descriptions
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2 LMF and semantic interoperability
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can register and create DCs. Users
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all kinds of lexemes, (see Cruse (1
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constraints, because many aspects o
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Menzo Windhouwer. 2012. RELcat: a R
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the meeting in Rome as a starting p
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As these documents provide the refe
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Two multi-layer annotated corpora r
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As audio data is not directly store
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Jörg Mayer. 1995. Transcription of
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Towards standardized lexical semant
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Getting involved into language reso
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