Articles

. In Word Sense Disambiguation, there are still few usages of neural networks. This direction is very promising however, the results obtained by these first systems being systemat- ically in the top of the evaluation campaigns, with a scope for improvement which seems still large. We present in this paper …...

. Structured prediction lies at the heart of modern Natural language Processing (NLP). In this paper, we study a specific family of structured learning algorithms, loosely refered to as “Learning-to-search” algorithms. They differ in several important ways from more studied methods such as Conditional Random Fields, and their study highlights …...

Regardless of numerous efforts at name tagging for Uyghur, there is limited understanding on the performance ceiling. In this paper, we take a close look at the successful cases and perform careful analysis on the remaining errors of a state-of-the-art Uyghur name tagger, systematically categorize challenges, and propose possible solutions. …...

Named-entity recognition (NER) can still be regarded as work in progress for a number of Asian languages due to the scarcity of annotated corpora. For this reason, with this paper we publicly release an entity-annotated Persian dataset and we present a performing approach for Persian NER based on a deep …...

This paper presents WiFiNE, an English corpus annotated with fine-grained entity types. We propose simple but effective heuristics we applied to English Wikipedia to build a large, high quality, annotated corpus. We evaluate the impact of our corpus on the fine-grained entity typing system of Shimaoka et al. (2017), with …...

WordNet-like resources are lexical databases with highly relevance information and data which could be exploited in more complex computational linguistics research and applications. The building process requires manual and automatic tasks, that could be more arduous if the language is a minority one with fewer digital resources. This study focuses …...

In this paper, we present a Java API to retrieve the lexical information from the French Lexical Network, a lexical resource based on the Meaning-Text Theory’s lexical functions, which was previously transformed to an RDF/OWL format. We present four API functions: one that returns all the lexical relations between two …...

In this paper, we present a new corpus for Chinese Named Entity Recognition (NER) from three domains : human-computer interaction, social media, and e-commerce. The annotation procedure is conducted in two rounds. In the first round, one sentence is annotated by more than one persons independently. In the second round, …...

Monitoring mobility- and industry-relevant events is important in areas such as personal travel planning and supply chain management, but extracting events pertaining to specific companies, transit routes and locations from heterogeneous, high-volume text streams remains a significant challenge. This work describes a corpus of German-language documents which has been annotated …...

We present an application of Semantic Web Technologies to computational lexicography. More precisely we describe the publication of the morphological layer of the Italian Parole Simple Clips lexicon (PSC-M) as linked open data. The novelty of our work is in the use of the Semantic Web Rule Language (SWRL) to …...

Metaphors are not only remarkably pervasive in both informal and formal text, but reflect fundamental properties of human cognition. This paper presents an algorithmic model that suggests metaphoric means of referring to concepts. For example, given a word such as government, the method may propose expressions such as father, nanny, …...

We present LDM-PT, a lexicon of discourse markers for European Portuguese, composed of 252 pairs of discourse marker/rhetorical sense. The lexicon covers conjunctions, prepositions, adverbs, adverbial phrases and alternative lexicalizations with a connective function, as in the PDTB (Prasad et al., 2008; Prasad et al., 2010). For each discourse marker …...

The South African linguistic landscape is characterised by multilingualism and the influence between their eleven official and some local languages. Unfortunately, for most of the languages the amount and quality of available lexicographical data is suboptimal, even though its availability is essential for all educational institutions and for the development …...

Three precise categories of people are confronted with the complexity of medical language: physicians, patients and scientific translators. The purpose of this work is to develop a methodology for the implementation of a terminological tool that contributes to solve problems related to the opacity that characterizes communication in the medical …...

We present Risamálheild, the Icelandic Gigaword Corpus (IGC), a corpus containing more than one billion running words from mostly contemporary texts. The work was carried out with minimal amount of work and resources, focusing on material that is not protected by copyright and sources which could provide us with large …...

This paper discusses current trends in DeReKo, the German Reference Corpus, concerning legal issues around the recent German copyright reform with positive implications for corpus building and corpus linguistics in general, recent corpus extensions in the genres of popular magazines, journals, historical texts, and web-based football reports. Besides, DeReKo is …...

Typical sentences of characteristic syntactic structures can be used for language understanding tasks like finding typical slotfiller for verbs. The paper describes the selection of such typical sentences representing usually about 5% of the original corpus. The sentences are selected by the frequency of the corresponding POS tag sequence together …...

This paper introduces “Czech Text Document Corpus v 2.0”, a collection of text documents for automatic document classification in Czech language. It is composed of the text documents provided by the Czech News Agency and is freely available for research purposes at http://ctdc.kiv.zcu.cz/. This corpus was created in order to …...

In this work, we present the construction process of a large Web corpus for Brazilian Portuguese, aiming to achieve a size comparable to the state of the art in other languages. We also discuss our updated sentence-level approach for the strict removal of duplicated content. Following the pipeline methodology, more …...

We present a sentence-level simplification corpus with content from the Public Administration (PA) domain. The corpus contains 1, 100 original sentences with manual simplifications collected through a two-stage process. Firstly, annotators were asked to simplify only words and phrases (lexical simplification). Each sentence was simplified by three annotators. Secondly, one …...