Метаданные

Traditional approaches to Information Ex- traction (IE) from speech input simply consist in applying text based methods to the output of an Automatic Speech Recog- nition (ASR) system. If it …...

A reading comprehension (RC) system attempts to understand a document and returns an answer sentence when posed with a question. RC resembles the ad hoc question answering (QA) task that …...

This paper present an overview of some emerging trends in the application of NLP in the domain of the so-called Digital Hu- manities and discusses the role and nature of …...

AbstractThe amount of research data in the Humanities is increasing at fast speed. Metadata helps describing and making accessible this data to interested researchers within and across institutions. While metadata …...

. This paper describes efforts to develop an online repository of Indonesian corpora –and its associated functions and services– that has been designed to support a wide variety of use …...

We present a method for extracting so- cial networks from literature, namely, nineteenth-century British novels and se- rials. We derive the networks from di- alogue interactions, and thus our method …...

We report on work in progress on extract- ing lexical simplifications (e.g., “collaborate” → “work together”), focusing on utilizing edit histories in Simple English Wikipedia for this task. We consider …...

AbstractOver the years, the field of Language Resources and Technology (LRT) has developed a tremendous amount of resources and tools. However, there is no ready-to-use map that researchers could use …...

AbstractWithin scientific institutes there exist many language resources. These resources are often quite specialized and relatively unknown. The current infrastructural initiatives try to tackle this issue by collecting metadata about …...

Topics generated automatically, e.g. using LDA, are now widely used in Computational Linguistics. Topics are normally represented as a set of keywords, often the n terms in a topic with …...

AbstractThe fast-spreading development of online streaming services has enabled people from all over the world to listen to music. However, it is not always straightforward for a given user to …...

AbstractDigital libraries are frequently treated just as a new method of storage of digitized artifacts, with all consequences of transferring long-established ways of dealing with physical objects into the digital …...

AbstractThe proliferation of different metadata schemas and models pose serious problems of interoperability. Maintaining isolated repositories with overlapping data is costly in terms of time and effort. In this paper, …...

AbstractWe work on tools to explore text contents and metadata of newspaper articles as provided by news archives. Our tool components are being integrated into an “Exploration Workbench” for Digital …...

AbstractWe introduce a new dataset built around two TV series from different genres, The Big Bang Theory, a situation comedy and Game of Thrones, a fantasy drama. The dataset has …...

We present a system for fine-grained senti- ment analysis in Bulgarian movie reviews. As this is pioneering work for this com- bination of language and sentiment gran- ularity, we create …...

Large volumes of electronic health records, including free-text documents, are extensively generated within various sectors of healthcare. Medical concept annotation systems are designed to enrich these documents with key concepts …...

AbstractThe issue for CLARIN archives at the metadata level is to facilitate the user’s possibility to describe their data, even with their own standard, and at the same time make …...

AbstractWe developed a web application for crowdsourcing transcriptions of Dutch words spoken by Spanish L2 learners. In this paper we discuss the design of the application and the influence of …...

AbstractAutomatically generating product reviews is a meaningful, yet not well-studied task in sentiment analysis. Traditional natural language generation methods rely extensively on hand-crafted rules and predefined templates. This paper presents …...

AbstractLocations of social media users are important to many applications such as rapid disaster response, targeted advertisement, and news recommendation. However, many users do not share their exact geographical coordinates …...

AbstractMost previous work in unsupervised semantic modeling in the presence of metadata has assumed that our goal is to make latent dimensions more correlated with metadata, but in practice the …...

In this paper we motivate the need for introducing more elaborate and consistent metadata records for collections of (linguistic) data resources in the CLARIN context. For this purpose we designed …...

AbstractThe viral spread of false, unverified and misleading information on the Internet has attracted a heightened attention of an interdisciplinary research community on the phenomenon. This paper contributes to the …...

AbstractGiven the limited size of existing idiom corpora, we aim to enable progress in automatic idiom processing and linguistic analysis by creating the largest-to-date corpus of idioms for English. Using …...

AbstractThe current scientific and technological landscape is characterised by the increasing availability of data resources and processing tools and services. In this setting, metadata have emerged as a key factor …...

AbstractRecent advances in neural computing and word embeddings for semantic processing open many new applications areas which had been left unaddressed so far because of inadequate language understanding capacity. But …...

AbstractDataset Retrieval is gaining importance due to a large amount of research data and the great demand for reusing scientific data. Dataset Retrieval is mostly based on metadata, structured information …...

AbstractParliamentary transcripts provide a valuable resource to understand the reality and know about the most important facts that occur over time in our societies. Furthermore, the political debates captured in …...

AbstractIn this paper, we present the participation of the EMBEDDIA team in the SemEval-2022 Task 8 (Multilingual News Article Similarity). We cover several techniques and propose different methods for finding …...

AbstractIn this paper, we describe the creation and annotation of EPIC UdS, a multilingual corpus of simultaneous interpreting for English, German and Spanish. We give an overview of the comparable …...

AbstractThis paper is framed in the context of the SSHOC project and aims at exploring how Language Technologies can help in promoting and facilitating multilingualism in the Social Sciences and …...

AbstractPeer review constitutes a core component of scholarly publishing; yet it demands substantial expertise and training, and is susceptible to errors and biases. Various applications of NLP for peer reviewing …...