MaltParser Dependency Parser

Notes:

Dependency parsing is the process of analyzing the grammatical structure of a sentence, specifically the relationships between words (or “tokens”) in a sentence, and representing those relationships using a dependency parse tree. The tree shows the syntactic dependencies between words, with the root of the tree representing the main subject or predicate of the sentence, and the other words connected to it via labeled arcs representing the grammatical relationships between them. Dependency parsing is used in natural language processing tasks such as syntactic analysis, machine translation, and text summarization.

A Dependency Parser is a program or algorithm that performs dependency parsing. It takes as input a sentence and produces as output a dependency parse tree, which represents the grammatical relationships between the words in the sentence. The parser uses techniques from natural language processing and computational linguistics to analyze the sentence and identify the syntactic dependencies between words. Dependency parsers can be rule-based or statistical, with the latter trained on large corpora of text to identify patterns in the data. Dependency parsers are widely used in natural language processing tasks such as syntactic analysis, machine translation, and text summarization.

MaltParser is a dependency parser that uses a combination of statistical and rule-based techniques to analyze the grammatical structure of a sentence.

The parser is based on the MaltParser system, which uses a two-phase parsing approach. The first phase is an initialization phase in which the parser uses a set of heuristic rules to generate an initial parse of the sentence. The second phase is a search phase in which the parser uses a dependency grammar and a set of dependency relations to guide the search for the most likely parse of the sentence.

MaltParser uses a transition-based approach to parsing, which involves generating a sequence of actions (or “transitions”) that represent the steps needed to construct a parse tree for the sentence. The parser generates a sequence of actions by applying a set of predefined transition rules to the input sentence. These rules are defined by the dependency grammar used by the parser.

The parser uses a variety of features to guide its search for the most likely parse, including the words and POS tags in the sentence, the context of the words, and the history of the parser’s actions. The parser also uses a scoring function to assign a score to each possible parse, and the parse with the highest score is chosen as the final output.

MaltParser is a widely used dependency parser, it is open-source and it is implemented in Java. It is trained on a variety of different languages, and it is known for its high performance and accuracy in dependency parsing.

The references below appear to be discussing various aspects of dependency parsing, including methods and techniques used by the MaltParser algorithm, the use of transition-based approaches, the impact of training data and corpus, the use of features such as token and dependency distance, and the application of the parser to different languages and tasks such as error detection and concept location. The text also mentions the use of manually tagged data sets and the potential for false positives in error detection.

Resources:

maltparser.org .. a system for data-driven dependency parsing

Wikipedia:

Treebank

MaltOptimizer: A System for MaltParser Optimization. M Ballesteros, J Nivre – LREC, 2012 – taln.upf.edu … These models are often characterized as transition-based, because they reduce the problem of 1http://www.maltparser.org Page 2. … 2010. A quick guide to Malt- Parser optimization. Technical report, maltparser.org. Joakim Nivre and Jens Nilsson. 2005. … Cited by 35 Related articles All 8 versions

Identification of Idiomatic Expressions Using Parallel Subtitle Corpora N Viereckel, J Tiedemann – 2014 – lingfil.uu.se … et al., 2006) to parse the corpora. For parsing, a pre-trained model for English, trained on the Penn Treebank, is available for use from the MaltParser homepage (http://www.maltparser.org). MaltParser requires the data to be … Related articles All 2 versions

A corpus-based approach for the induction of ontology lexica S Walter, C Unger, P Cimiano – Natural Language Processing and …, 2013 – Springer … We then consider only those patterns that occur at least twice and surpass a certain threshold ?, which is determined empirically in Section 3.3 below. 8 http://www.maltparser.org/ Page 5. 106 S. Walter, C. Unger, and P. Cimiano 2.4 Generation of Lexical Entries … Cited by 16 Related articles All 4 versions

Same Referent, Different Words: Unsupervised Mining of Opaque Coreferent Mentions. M Recasens, M Can, D Jurafsky – HLT-NAACL, 2013 – aclweb.org … report 2http://www.techmeme.com 3http://www.readability.com/developers/api 4http://nlp.stanford.edu/software/corenlp.shtml 5http://www.maltparser.org 6Auxiliary and copular verbs include appear, be, become, do, have, seem. … Cited by 5 Related articles All 11 versions

An ensemble model for the EVALITA 2011 dependency parsing task A Lavelli – Evaluation of Natural Language and Speech Tools for …, 2013 – Springer … 1 http://www.di.unito.it/˜tutreeb/ 2 Freely available at http://www.maltparser.org/ B. Magnini et al. (Eds.): EVALITA 2012, LNCS 7689, pp. … These arcs can then be moved back in a 3 More information about the features can be found at http://maltparser.org/ conll/conll07/ Page 4. … Cited by 5 Related articles All 5 versions

Unsupervised Parsing for Generating Surface-Based Relation Extraction Patterns J Illig, W Allee, B Roth, D Klakow – EACL 2014, 2014 – aclweb.org Page 120. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pages 100–105, Gothenburg, Sweden, April 26-30 2014. cO2014 Association for Computational Linguistics … Cited by 1 Related articles All 5 versions

Experiments in newswire-to-law adaptation of graph-based dependency parsers B Plank, A Søgaard – Evaluation of Natural Language and Speech Tools …, 2013 – Springer … Instance weighting is known 1 http://sourceforge.net/projects/mstparser/ 2 http://maltparser. org 3 http://code.google.com/p/mate-tools/ 4 The official results include punctuation, but we ignored it during development. 5 http://mallet.cs.umass.edu/ Page 3. … Cited by 4 Related articles All 7 versions

A dynamic confusion score for dependency arc labels S Jain, B Agrawal – Proceedings of the Sixth International Joint …, 2013 – aclweb.org … 1MaltParser version 1.7 from http://www.maltparser.org 1237 Page 2. was … Thus, this uncertainty can be quantitatively determined by entropy(H) calcu- lated by the following formula H(Y/X) = ? n ? i=1 p(yi/X) log p(yi/X) (1) 2http://www.maltparser.org/userguide.html#predstrate … Cited by 3 Related articles All 3 versions

Will a Parser Overtake Achilles? First experiments on parsing the Ancient Greek Dependency Treebank F Mambrini, M Passarotti – Eleventh International Workshop on …, 2012 – academia.edu … [1] MaltParser user guide. http://www.maltparser.org/userguide.html. [2] M. Ballesteros and J. Nivre. … Quick guide to MaltParser optimization. http://www.maltparser.org/guides/opt/quick-opt. pdf. [9] J. Nivre, J. Hall, S. Kübler, R. McDonald, J. Nilsson, S. Riedel, and D. Yuret. … Cited by 7 Related articles All 2 versions

Down-stream effects of tree-to-dependency conversions. J Elming, A Johannsen, S Klerke, E Lapponi… – HLT- …, 2013 – anthology.aclweb.org Page 655. Proceedings of NAACL-HLT 2013, pages 617–626, Atlanta, Georgia, 9–14 June 2013. cO2013 Association for Computational Linguistics Down-stream effects of tree-to-dependency conversions Jakob Elming, Anders … Cited by 9 Related articles All 7 versions

Multi-step regression learning for compositional distributional semantics E Grefenstette, G Dinu, YZ Zhang, M Sadrzadeh… – arXiv preprint arXiv: …, 2013 – arxiv.org … The corpus has been tokenised, POS-tagged and lemmatised with TreeTagger (http://www.ims.uni-stuttgart. de/projekte/corplex/TreeTagger/) and dependency-parsed with MaltParser (http://www. maltparser.org/). It contains about 2.8 billion tokens. Page 7. … Cited by 34 Related articles All 11 versions

Automatic Feature Selection for Agenda-Based Dependency Parsing M Ballesteros, B Bohnet – 2014 – taln.upf.edu … 1http://www.maltparser.org/userguide.html 2It makes a 80/20 division; 80% for training, 20% for development. Page 4. We used the following corpora for our experiments. … 2010. A quick guide to MaltParser optimization. Technical report, maltparser.org. … Related articles All 6 versions

Domain-independent mining of abstracts using indicator phrases R Daniel – D-Lib Magazine, 2012 – dialnet.unirioja.es … The training, development, and test sets were manually tagged using these new conditions, since in Q3 the main objective is to evaluate accuracy of the tagging. [n4] MaltParser 1.7.1, http://www.maltparser.org. [n5] SENNA 3.0, http://ronan.collobert.com/senna/. … Cited by 2 Related articles

A hybrid approach to error detection in a treebank and its impact on manual validation time R Agarwal, BR Ambati, DM Sharma – Linguistic Issues in Language …, 2012 – elanguage.net … (2011) could not only detect 3False positives occur when a node that is not an error is detected as an error. 4http://sourceforge.net/projects/mstparser/ 5http://maltparser.org/ 6http://maxent. sourceforge.net/ Page 7. A Hybrid Approach to Error Detection in a Treebank / 5 … Cited by 6 Related articles All 6 versions

DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. F Niu, C Zhang, C Ré, JW Shavlik – VLDS, 2012 – www-cs.stanford.edu … researchers. 12http://nlp.stanford.edu/ner/index.shtml 13http://www.maltparser.org/ 14http://www.surdeanu.name/mihai/ensemble/ 5. ACKNOWLEDGMENTS We gratefully acknowledge the support of DARPA grant FA8750- 09-C-0181. … Cited by 19 Related articles All 13 versions

Chinese syntactic parsing based on linguistic entity-relationship model D Yin – Proceedings of the 22nd ACM international conference …, 2013 – dl.acm.org … Science in China (Series F), 45(1):25-39, 2002. [10] Nivre J. MaltParser. http://www.maltparser.org/. [11] Hall J. MaltParser-An Architecture for Labeled Inductive Dependency Parsing. Licentitate thesis, Vaxjo University, 52-53, 2006. … Related articles

ATOLL—A framework for the automatic induction of ontology lexica S Walter, C Unger, P Cimiano – Data & Knowledge Engineering, 2014 – Elsevier There is a range of large knowledge bases, such as Freebase and DBpedia, as well as linked data sets available on the web, but they typically lack lexical infor. Related articles All 2 versions

Simple Voting Algorithms for Italian Parsing A Mazzei – Harmonization and Development of Resources and …, 2015 – Springer … 3), before concluding the paper (Sect. 4). 1 http://code.google.com/p/mate-tools/ 2 http://sites.google.com/site/desrparser/ 3 http://maltparser.org/ Page 3. Simple Voting Algorithms for Italian Parsing 163 2 The Combination Algorithms … Related articles All 3 versions

Exploiting Language Variants Via Grammar Parsing Having Morphologically Rich Information Q Abbas – LT4CloseLang 2014, 2014 – alt.qcri.org Page 45. Language Technology for Closely Related Languages and Language Variants (LT4CloseLang), pages 36–46, October 29, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics Exploiting Language … Cited by 1 Related articles All 4 versions

Ensembling Dependency Parsers for Treebank Error Detection N Annamaneni, RA Bhat… – The Twelfth Workshop on …, 2013 – bultreebank.org … Our experiments are conducted on the Hindi and Urdu treebanks. The proposed system is able to detect errors across the entire treebanks. 1http://www. maltparser. org 2http://maltparser. org 3http://www. ark. cs. cmu. edu/TurboParser/ 2 Page 9. … Related articles All 4 versions

Treebank Translation for Cross-Lingual Parser Induction J Tiedemann, J Nivre – CoNLL-2014, 2014 – aclweb.org Page 140. Proceedings of the Eighteenth Conference on Computational Language Learning, pages 130–140, Baltimore, Maryland USA, June 26-27 2014. cO2014 Association for Computational Linguistics Treebank Translation … Related articles All 10 versions

Reproducing Czech Syntactic Parsing Results Published in CoNLL Tasks L Kocincová – Aleš Horák, Pavel Rychlý. 6th Workshop on Recent …, 2012 – nlp.fi.muni.cz Page 23. Reproducing Czech Syntactic Parsing Results Published in CoNLL Tasks Lucia Kocincová NLP Centre, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic lucyia@ mail. muni. cz Abstract. … Cited by 1 Related articles All 2 versions

MaltDiver: A Transition-Based Parser Visualizer M Ballesteros, R Carlini – … of the System Demonstration Session of the …, 2013 – aclweb.org … 2This can be achieved by using the following setting in MaltParser: -di true -dif filename.log 3See www.maltparser.org/userguide.html 4TikZ-dependency tool is available for download- ing through https://sourceforge.net/projects/ tikz-dependency/ 26 Page 3. … Cited by 1 Related articles All 8 versions

Simple parser combination A Mazzei, C Bosco – Semantic Processing of Legal Texts (SPLeT-2012 …, 2012 – lrec.elra.info Page 65. Simple Parser Combination Alessandro Mazzei, Cristina Bosco Dipartimento di Informatica, Universita degli studi di Torino Corso Svizzera 185, 10149, Torino, Italy mazzei@ di. unito. it, bosco@ di. unito. it Abstract … Cited by 4 Related articles All 2 versions

MaltOptimizer: Fast and effective parser optimization M Ballesteros, J Nivre – Natural Language Engineering, 2014 – Cambridge Univ Press … 2008). The LIBSVM package 2 See http://nextens.uvt.nl/depparse-wiki/DataFormat. 3 For more information about default feature models, see the MaltParser documentation at http://maltparser.org. Page 8. 8 M. Ballesteros and J. Nivre … Cited by 3 Related articles

Clause boundary identification for tamil language using dependency parsing R Dhivya, V Dhanalakshmi, MA Kumar… – Signal Processing and …, 2012 – Springer … Springer (2007) 6. Wheeler, DL: Machine Translation through Clausal Syntax: A Statistical approach for Chineese to English, Technical Report, Massachusetts Institute of Technology (2008) 7. MALT Parser website, http://www.maltparser.org/userguide.html Cited by 4 Related articles All 3 versions

Assuming Facts Are Expressed More Than Once J Betteridge, A Ritter, T Mitchell – The Twenty-Seventh International …, 2014 – rtw.ml.cmu.edu … In our experiments, we used the top 50 categories that were not discarded by this procedure. 4http://hadoop.apache.org 5http://hazy.cs.wisc.edu/hazy/ 6http://nlp.stanford.edu/software/corenlp. shtml 7http://www.maltparser.org Page 5. 0 0.2 0.4 0.6 0.8 1 0 0.1 0.2 0.3 0.4 0.5 0.6 … Cited by 1 Related articles All 3 versions

MELODI: Semantic similarity of words and compositional phrases using latent vector weighting T Van de Cruys, S Afantenos, P Muller – Atlanta, Georgia, USA, 2013 – aclweb.org Page 134. Second Joint Conference on Lexical and Computational Semantics (* SEM), Volume 2: Seventh International Workshop on Semantic Evaluation (SemEval 2013), pages 98–102, Atlanta, Georgia, June 14-15, 2013. … Cited by 2 Related articles All 7 versions

Statistical syntactic parsing for Latvian L Pretkalni?a, L Rituma – Proceedings of the 19th Nordic Conference of …, 2013 – emmtee.net … Nivre J. and Hall J. (2010). A Quick Guide to MaltParser Optimization. http://maltparser.org/ guides/opt/quick-opt.pdf [last visited on 16/01/2013]. Paikens P., Gr?z?tis N. (2012). An implementation of a Latvian resource grammar in Grammatical Framework. … Cited by 4 Related articles All 3 versions

Learning Word Representations from Relational Graphs D Bollegala, T Maehara, Y Yoshida… – arXiv preprint arXiv: …, 2014 – arxiv.org Page 1. Learning Word Representations from Relational Graphs DanushkaBollegala TakanoriMaehara YuichiYoshida Ken-ichiKawarabayashi The University of Liverpool, Liverpool, L69 3BX, United Kingdom. National Institute … Related articles All 4 versions

An Empirical Comparison of Parsers in Constraining Reordering for EJ Patent Machine Translation I Goto, M Utiyama, T Onishi, E Sumita – Information and Media …, 2012 – jlc.jst.go.jp … We call this case using Fig. 2 Dependency tree structure. *1 http://maltparser.org/ Page 3. Information and Media Technologies 7(4): 1457-1468 (2012) reprinted from: Journal of Information Processing 20(4): 871-882 (2012) © Information Processing Society of Japan 1459 … Related articles All 6 versions

Going to the roots of dependency parsing M Ballesteros, J Nivre – Computational Linguistics, 2013 – MIT Press … 2. 2 The exact commandline flag is -allow_root false. A side effect of this flag is that all unattached tokens get the dummy label root, meaning that informative root labels cannot be predicted for representations of type None. See http://maltparser.org for more information. … Cited by 9 Related articles All 12 versions

Lithuanian Dependency Parsing with Rich Morphological Features K Donelaicio, J Nivre, A Krupavicius – Fourth Workshop on Statistical …, 2013 – aclweb.org Page 24. Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, pages 12–21, Seattle, Washington, USA, 18 October 2013. cO2013 Association for Computational Linguistics Lithuanian … Related articles All 8 versions

Uio 2: sequence-labeling negation using dependency features E Lapponi, E Velldal, L Øvrelid, J Read – … of the First Joint Conference on …, 2012 – dl.acm.org … Token dis- tance was therefore complemented with two variants of dependency distance from each token to the lexi- Stanford parser was not used to parse the data. 4The pre-trained model is available from maltparser.org 322 Page 5. … Cited by 8 Related articles All 11 versions

Are the existing training corpora unnecessarily large? M Ballesteros, J Herrera, V Francisco… – … del lenguaje natural, 2012 – journal.sepln.org … In our work we decided to focus our efforts on Malt- Parser, because the access to MaltParser configurations for each language is easier 1, the execution time (for training and parsing) 1http://maltparser.org/userguide.html Miguel … Cited by 1 Related articles All 6 versions

A pointwise approach to training dependency parsers from partially annotated corpora D Flannery, Y Miyao, G Neubig, S Mori – Information and Media …, 2012 – jlc.jst.go.jp … All systems were trained on EHJ-train. Note that each system uses a different feature set. 5 See http://www.maltparser.org/conll/conllx/ for details on the optimal hyperparameter settings for Japanese. We also chose LIBLINEAR … Cited by 1 Related articles All 9 versions

Annotating Opinions in German Political News. H Li, X Cheng, K Adson, T Kirshboim, F Xu – LREC, 2012 – lrec.elra.info … MO, PNK, OA, OB in the rules are dependency labels tagged by the MaltParser. Example 7 1http://dare.dfki.de/ 2http://maltparser.org/ a) “geben” { MO: (“für”) {PNK: (Target)} OA: (Subjective Term) (“geben” Engl.: “give”; “für” Engl.: “for”) b) “bezeichnen” ? ? ? … Cited by 6 Related articles All 2 versions

Final Report on the Corpus Acquisition & Annotation subsystem and its components P Prokopidis, V Papavassiliou, A Toral, M Poch… – 2014 – repositori.upf.edu Page 1. 1 SEVENTH FRAMEWORK PROGRAMME THEME 3 Information and communication Technologies PANACEA Project Grant Agreement no.: 248064 Platform for Automatic, Normalized Annotation and Cost-Effective … Related articles All 5 versions

Optimizing Planar and 2-Planar parsers with MaltOptimizer M Ballesteros Martínez, C Gómez Rodríguez, J Nivre – 2012 – rua.ua.es … Nivre, Joakim and Johan Hall. 2010. A quick guide to MaltParser optimization. Tech- nical report, maltparser.org. Nivre, Joakim, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel, and Deniz Yuret. 2007. The … Related articles

Preliminary experiments in Polish dependency parsing A Wróblewska, M Woli?ski – Security and Intelligent Information Systems, 2012 – Springer … A training oracle is required to train a clas- sifier. While parsing, a transition system builds labelled dependency graphs ac- cording to predicted transitions. Transition sequences are predicted by a trained 4 We use MaltParser 1.4.1 downloaded from http://maltparser.org. Page 5. … Cited by 8 Related articles All 6 versions

Optimizing planar and 2-planar parsers with MaltOptimizer M Ballesteros, CG Rodríguez, J Nivre – Procesamiento del lenguaje …, 2012 – ebookxp.org … Nivre, Joakim and Johan Hall. 2010. A quick guide to MaltParser optimization. Tech- nical report, maltparser.org. Nivre, Joakim, Johan Hall, Sandra Kübler, Ryan McDonald, Jens Nilsson, Sebastian Riedel, and Deniz Yuret. 2007. The … Cited by 2 Related articles All 12 versions

Are the existing training corpora unnecessarily large? M Ballesteros Martínez, J Herrera de la Cruz… – 2012 – rua.ua.es … In our work we decided to focus our efforts on Malt- Parser, because the access to MaltParser configurations for each language is easier 1, the execution time (for training and parsing) 1http://maltparser.org/userguide.html Miguel … Related articles

Analysis and visualization of temporal changes in bloggers’ activities and interests M Itoh, N Yoshinaga, M Toyoda… – … (PacificVis), 2012 IEEE, 2012 – ieeexplore.ieee.org … These two types of queries retrieve the nouns that modify a given verb (head) or the other 2For example, multilingual maltparser (http://maltparser.org/) returns Stanford typed dependencies: http://nlp.stanford.edu/software/dependencies manual.pdf 3All the verbs in the events … Cited by 8 Related articles All 6 versions

Effectively long-distance dependencies in French: annotation and parsing evaluation M Candito, D Seddah – TLT 11-The 11th International Workshop on …, 2012 – hal.inria.fr … obtained 11As we did no parameter tuning, we did not reserve a test set for final test. 12Available at http://www.maltparser.org and http://sourceforge.net/projects/mstparser. 13POS are predicted using MORFETTE (Chrupa?a et al. … Cited by 5 Related articles All 8 versions

Exploiting language models to recognize unseen actions DT Le, R Bernardi, J Uijlings – Proceedings of the 3rd ACM conference …, 2013 – dl.acm.org … Note that there is no overlap between this dataset and the 2012 VOC dataset from which we created our 89 action dataset. 3http://www.natcorp.ox.ac.uk/ 4http://www.ims.uni-stuttgart.de/ projekte/corplex/TreeTagger/ 5http://www.maltparser.org/ 234 Page 5. … Cited by 5 Related articles All 4 versions

Generalization of words for chinese dependency parsing X Wu, J Zhou, Y Sun, Z Liu, D Yu, H Wu… – Proceedings of IWPT, 2013 – acl.cs.qc.edu Page 76. Generalization of Words for Chinese Dependency Parsing Xianchao Wu, Jie Zhou, Yu Sun, Zhanyi Liu, Dianhai Yu, Hua Wu, Haifeng Wang Baidu Inc. {wuxianchao, zhoujie01, sunyu02, liuzhanyi, yudianhai, wu hua, wanghaifeng}@ baidu. … Cited by 5 Related articles All 2 versions

An Empirical Study on the Effect of Morphological and Lexical Features in Persian Dependency Parsing M Khallash, A Hadian, B Minaei-Bidgoli – Fourth Workshop on Statistical …, 2013 – aclweb.org Page 109. Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, pages 97–107, Seattle, Washington, USA, 18 October 2013. cO2013 Association for Computational Linguistics An Empirical … Cited by 1 Related articles All 10 versions

An SMT approach to automatic annotation of historical text E Pettersson, B Megyesi… – Proceedings of the …, 2013 – researchgate.net … It is interesting to note that the baseline method of simply replacing each historical word type with its most frequent modern version observed in the word-aligned training corpus also 1http://maltparser.org/mco/swedish_parser/swemalt.html 64 Page 12. … Cited by 8 Related articles All 4 versions

Demo: Swip, a Semantic Web Interface using Patterns. C Pradel, O Haemmerlé, N Hernandez – International Semantic Web …, 2013 – Citeseer Page 85. Demo: Swip, a Semantic Web Interface using Patterns Camille Pradel, Ollivier Haemmerlé, and Nathalie Hernandez IRIT, Université de Toulouse le Mirail, Département de Mathématiques-Informatique, 5 allées Antonio Machado, F-31058 Toulouse Cedex {camille. … Related articles All 5 versions

A comparison of chinese parsers for stanford dependencies W Che, VI Spitkovsky, T Liu – Proceedings of the 50th Annual Meeting of …, 2012 – dl.acm.org … Dependency MaltParser 1.6.1 Arc-Eager maltparser.org Mate 2.0 2nd-order MST code.google.com/p/mate-tools MSTParser 0.5 MST sourceforge.net/projects/mstparser Table 1: Basic information for the seven parsers included in our experiments. … Cited by 9 Related articles All 20 versions

How to the Know Best Machine Translation System in Advance before Translating a Sentence? B Kundu, SK Choudhury – Computing, 2014 – researchgate.net … We have extracted dependency based features from dependency trees. De- pendency trees are extracted using malt parser (http://www.maltparser.org/). Probabilistic features are extracted us- ing Moses toolkit (Koehn et al., 2007) (http://www.statmt.org/moses/). To … Related articles All 4 versions

Transition-Based Dependency Parsing With Pluggable Classifiers A Rudnick – arXiv preprint arXiv:1211.0074, 2012 – arxiv.org … parsing. For learning to make transition decisions, Malt- Parser is packaged with two classifier libraries, 1http://maltparser.org; version 1.7.1 was used in this work LIBSVM (Chang and Lin, 2011) and LIBLIN- EAR (Fan et al., 2008). … Related articles All 3 versions

A fast and accurate dependency parser using neural networks D Chen, CD Manning – … of the 2014 Conference on Empirical …, 2014 – www-cs.stanford.edu … NNP / CC Boston NNP. 7Since arc-standard is bottom-up, we remove all features using the head of stack elements, and also add the right child features of the first stack element. 8http://www.maltparser.org/ a first-order graph … Cited by 3 Related articles All 9 versions

Parsing the past: identification of verb constructions in historical text E Pettersson, B Megyesi, J Nivre – Proceedings of the 6th Workshop on …, 2012 – dl.acm.org … 1. Subject (SS) 2. Direct object (OO) 3. Indirect object (IO) 1http://maltparser.org/mco/ swedish parser/swemalt.html 4. Predicative complement (SP) 5. Prepositional complement (OA) 6. Infinitive complement of object (VO) 7. Verb particle (PL) … Cited by 7 Related articles All 12 versions

Exploring Semantic Information in Hindi WordNet for Hindi Dependency Parsing S Jain, N Jain, A Tammewar, RA Bhat, DM Sharma – 2013 – web2py.iiit.ac.in … 5k1: Doer, k1s: Noun Complement, k5: Source, k7p: Place, k7t: Time, pof: part-of (complex predicate), lwg psp: local-word-group postposition 6http://www.maltparser.org/download. html 7http://nextens.uvt.nl/depparse-wiki/SoftwarePage/#eval07.pl … Related articles All 6 versions

Building a treebank for Vietnamese dependency parsing LN Thi, HN Viet, HNT Minh… – … , Innovation, and Vision …, 2013 – ieeexplore.ieee.org … The accuracy of the tool is high, for example ASU = 88.1%, ASL = 86.3% for English and ASU = 88.1%, ASL = 83.4% for German.3 1http://sourceforge.net/projects/mstparser/ 2http://nlp.stanford.edu/software/lex-parser.shtml 3http://www.maltparser.org/ … Cited by 2 Related articles All 2 versions

ReliAble dependency arc recognition W Che, J Guo, T Liu – Expert Systems with Applications, 2014 – Elsevier We propose a novel natural language processing task, ReliAble dependency arc recognition (RADAR), which helps high-level applications better utilize the depende. Related articles All 7 versions

An Open Toolkit for Automatic Machine Translation (Meta-) Evaluation M Gonzalez, J Giménez – 2014 – nlp.lsi.upc.edu … 12http://www.surdeanu.name/mihai/bios/ 13ftp://ftp.cs.brown.edu/pub/nlparser/ 14http://code. google.com/p/berkeleyparser/ 15http://www.cs.ualberta.ca/~lindek/minipar.htm 16http://alpage. inria.fr/statgram/ 17http://www.maltparser.org 8 Page 9. – Charniak-Johnson Parser. … Related articles All 3 versions

Transformation and Decomposition for Efficiently Implementing and Improving Dependency-to-String Model In Moses L Li, J Xie, A Way, Q Liu – Syntax, Semantics and Structure in Statistical …, 2014 – aclweb.org Page 131. Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, pages 122–131, October 25, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics Transformation … Related articles All 4 versions

Precise information retrieval exploiting predicate-argument structures D Kawahara, K Shinzato, T Shibata… – Proc. of the …, 2013 – anthology.aclweb.org Page 1. International Joint Conference on Natural Language Processing, pages 37–45, Nagoya, Japan, 14-18 October 2013. Precise Information Retrieval Exploiting Predicate-Argument Structures Daisuke Kawahara † Keiji Shinzato ‡ Tomohide Shibata † Sadao Kurohashi † … Cited by 2 Related articles All 4 versions

Accessing Natural Language Processing Engines and Tasks GL Saveski – 2014 – dspace.cc.tut.fi Page 1. GRIGORIJ LJUBIN SAVESKI ACCESSING NATURAL LANGUAGE PROCESSING ENGINES AND TASKS Master of Science thesis Examiner: prof. Mikko Tiusanen Examiner and topic approved by the Faculty Council … Related articles All 2 versions

Structure-guided supertagger learning Y Zhang, T Matsuzaki, J Tsujii – Natural Language …, 2012 – Cambridge Univ Press Page 1. Natural Language Engineering 18 (2): 205–234. c Cambridge University Press 2012 doi:10.1017/S1351324912000034 205 Structure-guided supertagger learning YA OZ HONGZHANG1, TAKUYA MATSUZAKI1 and … Related articles All 2 versions

Predictive incremental parsing and its evaluation K Gerdes – Computational Dependency Theory, 2013 – books.google.com Page 198. Computational Dependency Theory K. Gerdes et al.(Eds.) 186 IOS Press, 2013 © 2013 The authors and IOS Press. All rights reserved. doi: 10.3233/978-1-61499- 352-0-186 Predictive Incremental Parsing and its Evaluation … Cited by 1 Related articles All 5 versions

Graph-based Natural Language Processing: Graph edit distance applied to the task of detecting plagiarism HD Røkenes – 2012 – diva-portal.org Page 1. Graph-based Natural Language Processing Graph edit distance applied to the task of detecting plagiarism Håkon Drolsum Røkenes Master of Science in Informatics Supervisor: Bjørn Gamback, IDI Co-supervisor: erwin marsi, IDI … Related articles All 5 versions

Learning to Rank and Order Answers to Definition Questions S Pandey – 2012 – etheses.whiterose.ac.uk Page 1. Learning to Rank and Order Answers to Definition Questions Shailesh Pandey Submitted for the degree of Doctor of Philosophy University of York Computer Science February 2012 Page 2. Page 3. Abstract The task … Related articles All 3 versions

Plagiarism Detection: An Overview of Text Alignment Techniques E Perleka – 2013 – diva-portal.org Page 1. Plagiarism Detection An Overview of Text Alignment Techniques Erisa Perleka Master of Science in Computer Science Supervisor: Bjørn Gamback, IDI Co-supervisor: Erwin Marsi, IDI Department of Computer and Information Science Submission date: July 2013 … Related articles All 2 versions

An Introduction to Question Answering over Linked Data C Unger, A Freitas, P Cimiano – Reasoning Web. Reasoning on the Web …, 2014 – Springer Page 1. An Introduction to Question Answering over Linked Data Christina Unger 1 , André Freitas 2 , and Philipp Cimiano 1 1 CITEC, Bielefeld University, Inspiration 1, 33615 Bielefeld 2 Insight, National University of Galway (NUIG), Galway Abstract. … Related articles All 4 versions

Improving malt dependency parser using a simple grammar-driven unlexicalised dependency parser AK Eragani, V Kuchibhotla – Asian Language Processing (IALP …, 2014 – ieeexplore.ieee.org … We obtained a significant improvement over Malt Parser’s unlexicalised baseline using our syntactic rules, and since Malt is a 2http://nextens.uvt.nl/depparse-wiki/DataFormat 3Malt Parser v1.7.2 can be downloaded at http://www.maltparser.org/ download.html … Related articles

Computational modeling of lexical ambiguity L Li – 2012 – scidok.sulb.uni-saarland.de Page 1. Computational Modeling of Lexical Ambiguity Linlin Li Computer Science Saarland University thesis for obtaining the title of Doctor of Natural Sciences of the Faculties of Natural Sciences and Technology of Saarland University Page 2. … Related articles All 6 versions

Towards fully lexicalized dependency parsing for Korean J Park, F Lannion, DKS Kurohashi, KS Choi – IWPT-2013, 2013 – acl.cs.qc.edu Page 123. Towards Fully Lexicalized Dependency Parsing for Korean Jungyeul Park UMR 6074 IRISA Université de Rennes 1 Lannion, France jungyeul. park@ univ-rennes1. fr Daisuke Kawahara Sadao Kurohashi Graduate … Cited by 1 Related articles All 2 versions

Combining black-box taggers and parsers for modern standard Arabic M Alabbas, A Ramsay – Computer Science and Information …, 2012 – ieeexplore.ieee.org … 8http://www.maltparser.org/download.html 9http://www.seas.upenn.edu/~strctlrn/MSTParser/ MSTParser.html 250 500 750 1000 1250 1500 1750 2000 2250 2500 2750 3000 3250 3500 3750 4000 70 72 74 76 78 80 Training dataset sizes (sentences) LA (%) … Cited by 2 Related articles All 2 versions

Supporting concept location through identifier parsing and ontology extraction SL Abebe, A Alicante, A Corazza, P Tonella – Journal of Systems and …, 2013 – Elsevier Identifier names play a key role in program understanding and in particular in concept location. Programmers can easily “parse” identifiers and understand t. Cited by 1 Related articles All 2 versions

Designing a Data-driven Clausal Parsing Framework SPK Gadde – 2015 – web2py.iiit.ac.in … Since the arc-eager does a bottom up parsing, it is good at identifying the lower level dependencies than depen- dencies higher up in the tree. Dependencies at the lower level turn out to be short-distance dependencies 1http://www.maltparser.org/ 13 Page 26. … Related articles

[BOOK] Multilingual text generation from structured formal representations D Dannélls – 2013 – gupea.ub.gu.se Page 1. Dana Dannélls Multilingual text generation from structured formal representations Page 2. Data linguistica <http://www.svenska.gu.se/publikationer/data-linguistica/> Editor: Lars Borin Språkbanken Department of Swedish University of Gothenburg 23 • 2012 Page 3. … Related articles All 3 versions

Supporting Concept Extraction and Identifier Quality Improvement through Programmers’ Lexicon Analysis SL Abebe – 2013 – eprints-phd.biblio.unitn.it Page 1. PhD Dissertation International Doctorate School in Information and Communication Technologies DISI – University of Trento Supporting Concept Extraction and Identifier Quality Improvement through Programmers’ Lexicon Analysis Surafel Lemma Abebe Advisor: Prof. … Related articles

[BOOK] Data-driven bitext dependency parsing and alignment MW Haulrich – 2012 – openarchive.cbs.dk Page 1. Martin Haulrich LIMAC PhD School Programme in Language and Culture PhD Series 2-2012 PhD Series 2-2012 Data-Driven Bitext Dependency P arsing and A lignment copenhagen business school handelshøjskolen … Cited by 3 Related articles

Analyzing, enhancing, optimizing and applying dependency analysis M Ballesteros Martínez – 2013 – eprints.ucm.es Page 1. UNIVERSIDAD COMPLUTENSE DE MADRID FACULTAD DE INFOMÁTICA Departamento de Ingeniería del Software e Inteligencia Artificial TESIS DOCTORAL Análisis, optimización, mejora y aplicación del análisis de dependencias … Related articles All 5 versions

Exploring the effectiveness of linguistic knowledge for biographical relation extraction M Garcia, P Gamallo – Natural Language Engineering, 2013 – Cambridge Univ Press Page 1. Natural Language Engineering: page 1 of 33. c Cambridge University Press 2013 doi:10.1017/S1351324913000314 1 Exploring the effectiveness of linguistic knowledge for biographical relation extraction† MARCOS … Cited by 2 Related articles All 2 versions

Barrier and Syntactic Features for Information Retrieval A Alicante – 2013 – fedoa.unina.it Page 1. Tesi di Dottorato Anita Alicante March 2013 Dottorato in Scienze Computazionali e Informatiche XXV Ciclo Universitá degli studi di Napoli “Federico II” Barrier and Syntactic Features for Information Retrieval Page 2. Page 3. Barrier and Syntactic Features … Related articles All 3 versions

Why Not!: Sequence Labeling the Scope of Negation Using Dependency Features E Lapponi – 2012 – duo.uio.no Page 1. UNIVERSITY OF OSLO Department of Informatics Why Not! Sequence Labeling the Scope of Negation Using Dependency Features Master’s thesis Emanuele Lapponi August 1, 2012 Page 2. Page 3. Abstract In this … Cited by 1 Related articles

Third evaluation report. Evaluation of PANACEA v3 and produced resources V Quochi, F Frontini, R Bartolini, O Hamon, M Poch… – 2014 – repositori.upf.edu Page 1. SEVENTH FRAMEWORK PROGRAMME THEME 3 Information and communication Technologies PANACEA Project Grant Agreement no.: 248064 Platform for Automatic, Normalized Annotation and Cost-Effective Acquisition … Cited by 1 Related articles All 4 versions

Design of components for understanding, dialogue management and feedback to the user R Manione, F Arisio, E Gerbino, CG FBK, MM FBK – 2012 – dirha.fbk.eu Page 1. © DIRHA Consortium 2012-2014 § Deliverable 5.1 Design of components for understanding, dialogue management and feedback to the user Authors: Roberto Manione (NewAmuser), Fiorenza Arisio (NewAmuser), Elisabetta Gerbino (NewAmuser), … Related articles All 2 versions

Automatic extractive single document summarization An unsupervised approach J Bengtsson, C Skeppstedt – 2013 – publications.lib.chalmers.se Page 1. Chalmers University of Technology University of Gothenburg Department of Computer Science and Engineering Göteborg, Sweden, May 2012 Automatic extractive single document summarization An unsupervised approach Master of Science Thesis …

State of the Art NLP: Multilingualism and Semantic Parsing in Information Retrieval and Extraction T MENDT, P MURIITHI, E SAMOTA… – 2014 – info.univ-tours.fr Page 1. Université François Rabelais – Tours, antenne de Blois Laboratoire d’Informatique (UPRES EA n o 2101) State of the Art NLP: Multilingualism and Semantic Parsing in Information Retrieval and Extraction Authors Tamara … Related articles

Performance-Oriented dependency parsing A Volokh – 2013 – universaar.uni-saarland.de Page 1. Saarbrücken Dissertations | Volume 37 | in Language Science and Technology Performance-Oriented Dependency Parsing Alexander Volokh A lexa n d e r V o lo k h P e rfo rm a n ce -O rie n te d D e p e n d e n cy P a rsin g … Cited by 1 Related articles All 2 versions

Using the visual denotations of image captions for semantic inference P Young – 2014 – ideals.illinois.edu … Since the automated tools we used were trained on different domains, we ended up applying a number of fixes to commonly occurring and easily fixed errors. 3http://opennlp.apache. org 4http://www.maltparser.org 16 Page 23. 2.4.1 Spell Checking … Related articles All 3 versions