Articles

ECLEF Microblog Cultural Contextualization is an evaluation challenge aiming at providing the research community with datasets to gather, organize and deliver relevant social data related to events generating large number of microblogs and web documents. The evaluation challenges runs every year since 2016. We describe in this paper the resources …...

This paper presents the initial efforts towards the creation of a new corpus on the history domain. Motivated by the historians’ need to interrogate a vast material in a non-linear way, our approach privileges deep linguistic analysis on an encyclopedic-style data. In this context, the work presented here focuses on …...

The way we speak to our friends, colleagues, or partners is different in both the explicit context, what we say, and the implicit, how we say it. Understanding these differences is important because it provides additional information that can be used in natural language processing tasks. For example, knowing the …...

Behavioral and mental health are pressing issues worldwide. Counseling is emerging as a core treatment for a variety of mental and behavioral health disorders. Seeking to improve the understanding of counseling practice, researchers have started to explore Natural Language Processing approaches to analyze the nature of counseling interactions by studying …...

We introduce WikiDragon, a Java Framework designed to give developers in computational linguistics an intuitive API to build, parse and analyze instances of MediaWikis such as Wikipedia, Wiktionary or WikiSource on their computers. It covers current versions of pages as well as the complete revision history, gives diachronic access to …...

In this paper, we present a new corpus that contains 943 homepages of scientific conferences, 14794 including subpages, with annotations of interesting information: name of a conference, its abbreviation, place, and several important dates; that is, submission, notification, and camera ready dates. The topics of conferences included in the corpus …...

In the present paper, we present an automated tagging approach aimed at enhancing a well-known resource, the ACL Anthology Reference Corpus, with semantic class labels for more than 20,000 technical terms that are relevant to the domain of computational linguistics. We use state-of-the-art classification techniques to assign semantic class labels …...

Social media websites, electronic newspapers and Internet forums allow visitors to leave comments for others to read and interact. This exchange is not free from participants with malicious intentions, who troll others by positing messages that are intended to be provocative, offensive, or menacing. With the goal of facilitating the …...

Machine learning models have been providing promising results in many fields including natural language processing. These models are, nevertheless, prone to adversarial examples. These are artificially constructed examples which evince two main features: they resemble the real training data but they deceive already trained model. This paper investigates the effect …...

Research from communication science has shown that stereotypical ideas are often reflected in language use. Media coverage of different groups in society influences the perception people have about these groups and even increases distrust and polarization among different groups. Investigating the forms of (especially subtle) stereotyping can raise awareness to …...

Systematic reviews in e.g. empirical medicine address research questions by comprehensively examining the entire published literature. Conventionally, manual literature surveys decide inclusion in two steps, first based on abstracts and title, then by full text, yet current methods to automate the process make no distinction between gold data from these …...

In recent years, (retro-)digitizing paper-based files became a major undertaking for private and public archives as well as an important task in electronic mailroom applications. As a first step, the workflow involves scanning and Optical Character Recognition (OCR) of documents. Preservation of document contexts of single page scans is a …...

Colloquial dialects of Arabic can be roughly categorized into five groups based on relatedness and geographic location (Egyptian, North African/Maghrebi, Gulf, Iraqi, and Levantine), but given that all dialects utilize much of the same writing system and share overlapping features and vocabulary, dialect identification and text classification is no trivial …...

Keyphrase is an efficient representation of the main idea of documents. While background knowledge can provide valuable information about documents, they are rarely incorporated in keyphrase extraction methods. In this paper, we propose WikiRank, an unsupervised method for keyphrase extraction based on the background knowledge from Wikipedia. Firstly, we construct …...

This paper presents CorpusDRF, an open-source, digitized collection of regionalisms, their parts of speech and recognition rates, published in Dictionnaire des R´egionalismes de France (DRF, “Dictionary of Regionalisms of France”) (R´ezeau, 2001), enabling the visualization and analyses of the largest-scale study of French regionalisms in the 20th century using publicly …...

The European "Tenders Electronic Daily" (TED) is a large source of semi-structured and multilingual data that is very valuable to the Natural Language Processing community. This data sets can effectively be used to address complex machine translation, multilingual terminology extraction, text-mining, or to benchmark information retrieval systems. Despite of the …...

Arabic has a wide range of varieties or dialects. Although a number of pioneering works have targeted some Arabic dialects, other dialects remain largely without investigation. A serious bottleneck for studying these dialects is lack of any data that can be exploited in computational models. In this work, we aim …...

Modern Standard Arabic (MSA) is the official language used in education and media across the Arab world both in writing and formal speech. However, in daily communication several dialects depending on the country, region as well as other social factors, are used. With the emergence of social media, the dialectal …...

Automatic identification of Arabic dialects in a text is a difficult task, especially for Maghreb languages and when they are written in Arabic or Latin characters (Arabizi). These texts are characterized by the use of code-switching between the Modern Standard Arabic (MSA) and the Arabic Dialect (AD) in the texts …...

We present a unified set of guidelines and resources for conventional orthography of dialectal Arabic. While Standard Arabic has well defined orthographic standards, none of the Arabic dialects do today. Previous efforts on conventionalizing the dialectal orthography have focused on specific dialects and made often ad hoc decisions. In this …...