Articles

AbstractIn this paper we present results from using Random indexing for Latent Semantic Analysis to handle Singular Value Decomposition tractability issues. In the paper we compare Latent Semantic Analysis, Random Indexing and Latent Semantic Analysis on Random Indexing reduced matrices. Our results show that Latent Semantic Analysis on Random Indexing …...

AbstractThe paper presents a set of approaches to extend the automatically created Slovene wordnet with nominal multi-word expressions. In the first approach multi-word expressions from Princeton WordNet are translated with a technique that is based on word-alignment and lexico-syntactic patterns. This is followed by extracting new terms from a monolingual …...

AbstractEntities - people, organizations, locations and the like - have long been a central focus of natural language processing technology development, since entities convey essential content in human languages. For multilingual systems, accurate translation of named entities and their descriptors is critical. LDC produced Entity Translation pilot data to support …...

AbstractDiscovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications in Information Retrieval (IR), Summarization (SUM), Question Answering (QA) and Textual Entailment (TE). The work we present resulted from the attempt to solve …...

AbstractWe describe methods for extracting interesting factual relations from scientific texts in computational linguistics and language technology taken from the ACL Anthology. We use a hybrid NLP architecture with shallow preprocessing for increased robustness and domain-specific, ontology-based named entity recognition, followed by a deep HPSG parser running the English Resource …...

AbstractWe describe and evaluate a prototype system for recognising person and place names in digitised records of British parliamentary proceedings from the late 17th and early 19th centuries. The output of an OCR engine is the input for our system and we describe certain issues and errors in this data …...

AbstractWe outline work performed within the framework of a current EC project. The goal is to construct a language-independent information system for a specific domain (environment/ecology/biodiversity) anchored in a language-independent ontology that is linked to wordnets in seven languages. For each language, information extraction and identification of lexicalized concepts with …...

AbstractReported speech in the form of direct and indirect reported speech is an important indicator of evidentiality in traditional newspaper texts, but also increasingly in the new media that rely heavily on citation and quotation of previous postings, as for instance in blogs or newsgroups. This paper details the basic …...

AbstractThis paper addresses a novel approach that integrates two different types of information resources: the World Wide Web and libraries. This approach is based on a hypothesis: advantages and disadvantages of the Web and libraries are complemental. The integration is based on correspondent conceptual label names between the Wikipedia categories …...

AbstractThe huge amount of the available information in the Web creates the need of effective information extraction systems that are able to produce metadata that satisfy user’s information needs. The development of such systems, in the majority of cases, depends on the availability of an appropriately annotated corpus in order …...

AbstractThe paper presents a tool assisting manual annotation of linguistic data developed at the Department of Computational linguistics, IBL-BAS. Chooser is a general-purpose modular application for corpus annotation based on the principles of commonality and reusability of the created resources, language and theory independence, extendibility and user-friendliness. These features have …...

AbstractMotivated by the expense in time and other resources to produce hand-crafted grammars, there has been increased interest in automatically obtained wide-coverage grammars from treebanks for natural language processing. In particular, recent years have seen the growth in interest in automatically obtained deep resources that can represent information absent from …...

AbstractThe PARC 700 dependency bank has a number of features that would seem to make it less than optimally suited for its intended purpose, parser evaluation. However, it is difficult to know precisely what impact these problems have on the evaluation results, and as a first step towards making comparison …...

AbstractIn this paper we present a new Document Management System called DrStorage. This DMS is multi-platform, JCR-170 compliant, supports WebDav, versioning, user authentication and authorization and the most widespread file formats (Adobe PDF, Microsoft Office, HTML,...). It is also easy to customize in order to enhance its search capabilities and …...

AbstractOn many examples we present a query language of Netgraph - a fully graphical tool for searching in the Prague Dependency Treebank 2.0. To demonstrate that the query language fits the treebank well, we study an annotation manual for the most complex layer of the treebank - the tectogrammatical layer …...

AbstractAutomatic tagging in Spanish has historically faced many problems because of some specific grammatical constructions. One of these traditional pitfalls is the “se” particle. This particle is a multifunctional and polysemous word used in many different contexts. Many taggers do not distinguish the possible uses of “se” and thus provide …...

AbstractWe present an approach to creating a treebank of sentences using multiple notations or linguistic theories simultaneously. We illustrate the method by annotating sentences from the Penn Treebank II in three different theories in parallel: the original PTB notation, a Functional Dependency Grammar notation, and a Government and Binding style …...

AbstractWe report on an effort to build a corpus of Modern Hebrew tagged with part-of-speech and morphology. We designed a tagset specific to Hebrew while focusing on four aspects: the tagset should be consistent with common linguistic knowledge; there should be maximal agreement among taggers as to the tags assigned …...

AbstractSubcategorization is a kind of knowledge which can be considered as crucial in several NLP tasks, such as Information Extraction or parsing, but the collection of very large resources including subcategorization representation is difficult and time-consuming. Various experiences show that the automatic extraction can be a practical and reliable solution …...

AbstractIn this article, we present a method for extracting automatically semantic relations from texts in the medical domain using linguistic patterns. These patterns refer to three levels of information about words: inflected form, lemma and part-of-speech. The method we present consists first in identifying the entities that are part of …...