Igor Boguslavsky

Also published as: Igor M. Boguslavsky


2019

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A Spanish E-dictionary of Collocations
Maria Auxiliadora Barrios Rodriguez | Igor Boguslavsky
Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)

2017

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On the Predicate-Argument Structure: Internal and Absorbing Scope
Igor Boguslavsky
Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)

2016

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Proceedings of the Workshop on Grammar and Lexicon: interactions and interfaces (GramLex)
Eva Hajičová | Igor Boguslavsky
Proceedings of the Workshop on Grammar and Lexicon: interactions and interfaces (GramLex)

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On the Non-canonical Valency Filling
Igor Boguslavsky
Proceedings of the Workshop on Grammar and Lexicon: interactions and interfaces (GramLex)

Valency slot filling is a semantic glue, which brings together the meanings of words. As regards the position of an argument in the dependency structure with respect to its predicate, there exist three types of valency filling: active (canonical), passive, and discontinuous. Of these, the first type is studied much better than the other two. As a rule, canonical actants are unambiguously marked in the syntactic structure, and each actant corresponds to a unique syntactic position. Linguistic information on which syntactic function an actant might have (subject, direct or indirect object), what its morphological form should be and which prepositions or conjunctions it requires, can be given in the lexicon in the form of government patterns, subcategorization frames, or similar data structures. We concentrate on non-canonical cases of valency filling in Russian, which are characteristic of non-verbal parts of speech, such as adverbs, adjectives, and particles, in the first place. They are more difficult to handle than canonical ones, because the position of the actant in the tree is governed by more complicated rules. A valency may be filled by expressions occupying different syntactic positions, and a syntactic position may accept expressions filling different valencies of the same word. We show how these phenomena can be processed in a semantic analyzer.

2015

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Emotion and Inner State Adverbials in Russian
Olga Boguslavskaya | Igor Boguslavsky
Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)

2014

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Argument structure of adverbial derivatives in Russian
Igor Boguslavsky
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

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Joint Morphological and Syntactic Analysis for Richly Inflected Languages
Bernd Bohnet | Joakim Nivre | Igor Boguslavsky | Richárd Farkas | Filip Ginter | Jan Hajič
Transactions of the Association for Computational Linguistics, Volume 1

Joint morphological and syntactic analysis has been proposed as a way of improving parsing accuracy for richly inflected languages. Starting from a transition-based model for joint part-of-speech tagging and dependency parsing, we explore different ways of integrating morphological features into the model. We also investigate the use of rule-based morphological analyzers to provide hard or soft lexical constraints and the use of word clusters to tackle the sparsity of lexical features. Evaluation on five morphologically rich languages (Czech, Finnish, German, Hungarian, and Russian) shows consistent improvements in both morphological and syntactic accuracy for joint prediction over a pipeline model, with further improvements thanks to lexical constraints and word clusters. The final results improve the state of the art in dependency parsing for all languages.

2010

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Interfacing the Lexicon and the Ontology in a Semantic Analyzer
Igor Boguslavsky | Leonid Iomdin | Victor Sizov | Svetlana Timoshenko
Proceedings of the 6th Workshop on Ontologies and Lexical Resources

2008

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Parsing the SynTagRus Treebank of Russian
Joakim Nivre | Igor M. Boguslavsky | Leonid L. Iomdin
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)

2006

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A Syntactically and Semantically Tagged Corpus of Russian: State of the Art and Prospects
Juri Apresjan | Igor Boguslavsky | Boris Iomdin | Leonid Iomdin | Andrei Sannikov | Victor Sizov
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

We describe a project aimed at creating a deeply annotated corpus of Russian texts. The annotation consists of comprehensive morphological marking, syntactic tagging in the form of a complete dependency tree, and semantic tagging within a restricted semantic dictionary. Syntactic tagging is using about 80 dependency relations. The syntactically annotated corpus counts more than 28,000 sentences and makes an autonomous part of the Russian National Corpus (www.ruscorpora.ru). Semantic tagging is based on an inventory of semantic features (descriptors) and a dictionary comprising about 3,000 entries, with a set of tags assigned to each lexeme and its argument slots. The set of descriptors assigned to words has been designed in such a way as to construct a linguistically relevant classification for the whole Russian vocabulary. This classification serves for discovering laws according to which the elements of various lexical and semantic classes interact in the texts. The inventory of semantic descriptors consists of two parts, object descriptors (about 90 items in total) and predicate descriptors (about a hundred). A set of semantic roles is thoroughly elaborated and contains about 50 roles.

2004

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Multilinguality in ETAP-3: Reuse of Lexical Resources
Igor Boguslavsky | Leonid Iomdin | Victor Sizov
Proceedings of the Workshop on Multilingual Linguistic Resources

2002

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Development of a Dependency Treebank for Russian and its Possible Applications in NLP
Igor Boguslavsky | Ivan Chardin | Svetlana Grigorieva | Nikolai Grigoriev | Leonid Iomdin | Leonid Kreidlin | Nadezhda Frid
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2000

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Creating a Universal Networking Language Module within an Advanced NLP System
Igor Boguslavsky | Nadezhda Frid | Leonid Iomdin | Leonid Kreidlin | Irina Sagalova | Victor Sizov
COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics

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Dependency Treebank for Russian: Concept, Tools, Types of Information
Igor Boguslavsky | Svetlana Grigorieva | Nikolai Grigoriev | Leonid Kreidlin | Nadezhda Frid
COLING 2000 Volume 2: The 18th International Conference on Computational Linguistics

1999

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Translation to and from Russian: the ETAP system
Igor Boguslavsky
EAMT Workshop: EU and the new languages