Articles

The correct analysis of the output of a program based on supervised learning is inevitable in order to be able to identify the errors it produced and characterise its error types. This task is fairly difficult without a proper tool, especially if one works with complex data structures such as …...

Computational argumentation aims to model arguments as a set of premises that either support each other or collectively support a conclusion. We prepare three datasets of text-hypothesis pairs with support-based entailment based on opinions present in hotel reviews using a distant supervision approach. Support-based entailment is defined as the existence …...

In this paper we present a software tool for elicitation and management of process metadata. It follows our previously published design idea of an assistant for researchers that aims at minimizing the additional effort required for producing a sustainable workflow documentation. With the ever-growing number of linguistic resources available, it …...

The aim of this work is to present an overview of the research presented at the LREC workshops over the years 1998-2016 with the aim to shed light on the community represented by workshop participants in terms of country of origin, type of affiliation, gender. There has been also an …...

The FREME framework bridges Language Technologies (LT) and Linked Data (LD). It establishes workflows between LT and LD in a well defined, coherent way. FREME addresses common challenges that both researchers and industry face when integrating LT and LD: interoperability, ”silo” solutions and the lack of adequate tooling. Usability, reusability …...

In recent years, temporal tagging, i.e., the extraction and normalization of temporal expressions, has become a vibrant research area. Several tools have been made available, and new strategies have been developed. Due to domain-specific challenges, evaluations of new methods should be performed on diverse text types. Despite significant efforts towards …...

In this paper, we describe our effort to create a new corpus for the evaluation of detecting and linking so-called survey variables in social science publications (e.g., ”Do you believe in Heaven?”). The task is to recognize survey variable mentions in a given text, disambiguate them, and link them to …...

In this paper, we analyze relationships between word pairs and evaluate their idiosyncratic properties in the applied context of authorship attribution. Specifically, on three literary corpora we optimize word pair features for information gain which reflect word similarity as measured by word embeddings. We analyze the quality of the most …...

This paper presents a system for author profiling (AP) modeling that reduces the complexity and time of building a sophisticated model for a number of different AP tasks. The system is implemented in a cloud-based visual programming platform ClowdFlows and is publicly available to a wider audience. In the platform, …...

We propose a system for visualizing the epidemics of infectious diseases. We apply factuality analysis both to disease detection and location estimation for accurate visualization. We tested our methods for several infectious diseases, and show that our method performs well on various diseases. Keywords: Twitter, disease surveillance, location estimation 1....

In this paper we report on the collection in the context of the MIROR project of a corpus of biomedical articles for the task of automatic detection of inadequate claims (spin), which to our knowledge has never been addressed before. We present the manual annotation model and its annotation guidelines …...

This paper introduces a new resource called EventWiki which is, to the best of our knowledge, the first knowledge base resource of major events. In contrast to most existing knowledge bases that focus on static entities such as people, locations and organizations, our EventWiki concentrate on major events, in which …...

Uncertainty identification is an important semantic processing task, which is critical to the quality of information in terms of factuality in many NLP techniques and applications, such as question answering, information extraction, and so on. Especially in social media, the factuality becomes a primary concern, because the social media texts …...

Relation classification is the task to predict semantic relations between pairs of entities in a given text. In this paper, a novel Long Short Term Memory Network (LSTM)-based approach is proposed to extract relations between entities in Chinese text. The shortest dependency path (SDP) between two entities, together with the …...

We introduce a freely available dataset for analyzing the English vocabulary of English-as-a-second language (ESL) learners. While ESL vocabulary tests have been extensively studied, few of the results have been made public. This is probably because 1) most of the tests are used to grade test takers, i.e., placement tests; …...

The present work describes a multilingual corpus of online content in the educational domain, i.e. Massive Open Online Course material, ranging from course forum text to subtitles of online video lectures, that has been developed via large-scale crowdsourcing. The English source text is manually translated into 11 European and BRIC …...

Building a wordnet from scratch is a huge task, especially for languages less equipped with pre-existing lexical resources such as thesauri or bilingual dictionaries. We address the issue of costliness of human supervision through crowdsourcing that offers a good trade-off between quality of output and speed of progress. In this …...

We present a parallel wikified data set of parallel texts in eleven language pairs from the educational domain. English sentences are lined up to sentences in eleven other languages (BG, CS, DE, EL, HR, IT, NL, PL, PT, RU, ZH) where names and noun phrases (entities) are manually annotated and …...

We present here the results of an experiment aiming at crowdsourcing part-of-speech annotations for a less-resourced French regional language, Alsatian. We used for this purpose a specifically-developed slightly gamified platform, Bisame. It allowed us to gather annotations on a variety of corpora covering some of the language dialectal variations. The …...

We present a new Japanese crowdsourced data set of simplified sentences created from more complex ones. Our simplicity standard involves all rewritable words in the simplified sentences being drawn from a core vocabulary of 2,000 words. Our simplified corpus is a collection of complex sentences from Japanese textbooks and reference …...