Articles
Total Articles: 38870
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16494
AbstractTerminological resources offer potential to support applications beyond translation, such as controlled authoring and indexing, which are increasingly of interest to commercial enterprises. The ad-hoc semasiological approach adopted by commercial terminographers diverges considerably from methodologies prescribed by conventional theory. The notion of termhood in such production-oriented environments is driven by …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16495
AbstractThe goal of this paper is to introduce T-PAS, a resource of typed predicate argument structures for Italian, acquired from corpora by manual clustering of distributional information about Italian verbs, to be used for linguistic analysis and semantic processing tasks. T-PAS is the first resource for Italian in which semantic …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16496
AbstractThis article describes a large-scale evaluation of the use of Statistical Machine Translation for professional subtitling. The work was carried out within the FP7 EU-funded project SUMAT and involved two rounds of evaluation: a quality evaluation and a measure of productivity gain/loss. We present the SMT systems built for the …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16497
AbstractOptimally, a translated text should preserve information while maintaining the writing style of the original. When this is not possible, as is often the case with figurative speech, a common practice is to simplify and make explicit the implications. However, in our investigations of translations from English to another language, …...
CLARIN-NL: Major results
16498nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16498
AbstractIn this paper I provide a high level overview of the major results of CLARIN-NL so far. I will show that CLARIN-NL is starting to provide the data, facilities and services in the CLARIN infrastructure to carry out humanities research supported by large amounts of data and tools. These services …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16499
AbstractWe designed a new annotation scheme for formalising relation structures in research papers, through the investigation of computer science papers. The annotation scheme is based on the hypothesis that identifying the role of entities and events that are described in a paper is useful for intelligent information retrieval in academic …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16500
AbstractThis paper describes a suite of tools for extracting conventionalized metaphors in English, Spanish, Farsi, and Russian. The method depends on three significant resources for each language: a corpus of conventionalized metaphors, a table of conventionalized conceptual metaphors (CCM table), and a set of extraction rules. Conventionalized metaphors are things …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16501
AbstractThis paper proposes a method for discovering semantic frames (Fillmore, 1982, 1985; Fillmore et al., 2003) in specialized domains. It is assumed that frames are especially relevant for capturing the lexical structure in specialized domains and that they complement structures such as ontologies that appear better suited to represent specific …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16502
AbstractIn this paper we describe an effort to create a corpus and phonetic dictionary for Tunisian Arabic Automatic Speech Recognition (ASR). The corpus, named TARIC (Tunisian Arabic Railway Interaction Corpus) has a collection of audio recordings and transcriptions from dialogues in the Tunisian Railway Transport Network. The phonetic (or pronunciation) …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16503
AbstractMost state-of-the-art parsers take an approach to produce an analysis for any input despite errors. However, small grammatical mistakes in a sentence often cause parser to fail to build a correct syntactic tree. Applications that can identify and correct mistakes during parsing are particularly interesting for processing user-generated noisy content. …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16504
AbstractWe present the task of answering cloze questions automatically and how it can be tackled by exploiting lexical knowledge bases (LKBs). This task was performed in what can be seen as an indirect evaluation of Portuguese LKB. We introduce the LKBs used and the algorithms applied, and then report on …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16505
AbstractUnlike data mining, text mining has received only limited attention in legal circles. Nevertheless, interesting legal stumbling blocks exist, both with respect to the data collection and data sharing phases, due to the strict rules of copyright and database law. Conflicts are particularly likely when content is extracted from commercial …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16506
AbstractIn this paper, we describe the development of French resources for the extraction and normalization of temporal expressions with HeidelTime, a open-source multilingual, cross-domain temporal tagger. HeidelTime extracts temporal expressions from documents and normalizes them according to the TIMEX3 annotation standard. Several types of temporal expressions are extracted: dates, times, …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16507
AbstractThe Europe Media Monitor (EMM) is a fully-automatic system that analyses written online news by gathering articles in over 70 languages and by applying text analysis software for currently 21 languages, without using linguistic tools such as parsers, part-of-speech taggers or morphological analysers. In this paper, we describe the effort …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16508
AbstractIn this paper, the procedure of lexico-semantic annotation of Składnica Treebank using Polish WordNet is presented. Other semantically annotated corpora, in particular treebanks, are outlined first. Resources involved in annotation as well as a tool called Semantikon used for it are described. The main part of the paper is the …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 16509
AbstractIn this paper we introduce TweetNorm_es, an annotated corpus of tweets in Spanish language, which we make publicly available under the terms of the CC-BY license. This corpus is intended for development and testing of microtext normalization systems. It was created for Tweet-Norm, a tweet normalization workshop and shared task, …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 17013
AbstractWe show how to use large biomedical databases in order to obtain a gold standard for training a machine learning system over a corpus of biomedical text. As an example we use the Comparative Toxicogenomics Database (CTD) and describe by means of a short case study how the obtained data …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 17014
AbstractThis paper presents 3 sets of OpenLogos resources, namely the English-German, the English-French, and the English-Italian bilingual dictionaries. In addition to the usual information on part-of-speech, gender, and number for nouns, offered by most dictionaries currently available, OpenLogos bilingual dictionaries have some distinctive features that make them unique: they contain …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 17015
AbstractWe present novel computational experiments using William Labov’s theory of narrative analysis. We describe his six elements of narrative structure and construct a new corpus based on his most recent work on narrative. Using this corpus, we explore the correspondence between Labovs elements of narrative structure and the implicit discourse …...
nan
Publication: TIPSTER (2014)
DOI: nan
Paper ID: 17016
AbstractData annotation in modern practice often involves multiple, imperfect human annotators. Multiple annotations can be used to infer estimates of the ground-truth labels and to estimate individual annotator error characteristics (or reliability). We introduce MomResp, a model that incorporates information from both natural data clusters as well as annotations from …...