Articles

The current study was motivated to understand the relationship between the external behavior and inner affective state of two team members (“instructor”-“defuser”) during a demanding operational task (i.e., bomb defusion). In this study we assessed team member’s verbal responses (i.e., length of duration) in relation to their external as well …...

Human emotions are complex and nuanced. Yet, an overwhelming majority of the work in automatically detecting emotions from text has focused only on classifying text into positive, negative, and neutral classes, and a much smaller amount on classifying text into basic emotion categories such as joy, sadness, and fear. Our …...

In the past years, sentiment analysis has increasingly shifted attention to representational frameworks more expressive than semantic polarity (being positive, negative or neutral). However, these richer formats (like Basic Emotions or Valence-Arousal-Dominance, and variants therefrom), rooted in psychological research, tend to proliferate the number of representation schemes for emotion encoding. …...

Words often convey affect—emotions, feelings, and attitudes. Further, different words can convey affect to various degrees (intensities). However, existing manually created lexicons for basic emotions (such as anger and fear) indicate only coarse categories of affect associ- ation (for example, associated with anger or not associated with anger). Automatic lexicons …...

Wikipedia is one of the most visited websites in the world. On Wikipedia, Conflict-of-Interest (CoI) editing happens when an editor uses Wikipedia to advance their interests or relationships. This includes paid editing done by organisations for public relations purposes, etc. CoI detection is highly subjective and though closely related to …...

This paper introduces the NIEUW (Novel Incentives and Workflows) project funded by the United States National Science Foundation and part of the Linguistic Data Consortium’s strategy to provide order of magnitude improvement in the scale, cost, variety, linguistic diversity and quality of Language Resources available for education, research and technology …...

Despite considerable recent attention to problems with reproducibility of scientific research, there is a striking lack of agreement about the definition of the term. That is a problem, because the lack of a consensus definition makes it difficult to compare studies of reproducibility, and thus to have even a broad …...

The transfer of research data management from one institution to another infrastructural partner is all but trivial, but can be required, for instance, when an institution faces reorganisation or closure. In a case study, we describe the migration of all research data, identify the challenges we encountered, and discuss how …...

In this paper, we present an analysis indicating that, in language technology, as we are investigating natural language we are contributing to deplete it in the sense that we are contributing to reduce the diversity of languages. To address this circumstance, we propose that more replication and reproduction and more …...

The EU’s General Data Protection Regulation (GDPR) of 27 April 2016 will apply from 25 May 2018. It will reinforce certain principles related to the processing of personal data, which will also affect many projects in the field of Natural Language Processing. Perhaps most importantly, the GDPR will introduce the …...

The ability to model and automatically detect dialogue act is an important step toward understanding spontaneous speech and Instant Messages. However, it has been difficult to infer a dialogue act from a surface utterance because it highly depends on the context of the utterance and speaker linguistic knowledge; especially in …...

In this paper we present a corpus of multiparty situated interaction where participants collaborated on moving virtual objects on a large touch screen. A moderator facilitated the discussion and directed the interaction. The corpus contains recordings of a variety of multimodal data, in that we captured speech, eye gaze and …...

As robots enter more and more areas of everyday life, it becomes necessary for them to interact in an understandable and trustworthy way. In many regards this requires a human-like interaction pattern. This research investigates the influence of gender stereotypes on trust and likability of humanoid robots. In this endeavor, …...

We present an annotation scheme for meso-level dialogue structure, specifically designed for multi-floor dialogue. The scheme includes a transaction unit that clusters utterances from multiple participants and floors into units according to realization of an initiator’s intent, and relations between individual utterances within the unit. We apply this scheme to …...

Motivated by a project to create a system for people who are deaf or hard-of-hearing that would use automatic speech recognition (ASR) to produce real-time text captions of spoken English during in-person meetings with hearing individuals, we have augmented a transcript of the Switchboard conversational dialogue corpus with an overlay …...

This paper introduces a new dataset of POS-tagged Arabic tweets in four major dialects along with tagging guidelines. The data, which we are releasing publicly, includes tweets in Egyptian, Levantine, Gulf, and Maghrebi, with 350 tweets for each dialect with appropriate train/test/development splits for 5-fold cross validation. We use a …...

Movies are one of the most prominent means of entertainment. The widespread use of the Internet in recent times has led to large vol- umes of data related to movies being gener- ated and shared online. People often prefer to express their views online in English as com- pared to …...

Automatic text comprehension is an arduous task of automatic natural language processing. This task has been addressed in several NLP applications, namely, question-answering, information retrieval, etc. In some cases, these applications require a minimal understanding of the text. The use of this task in question- answering requires that the result …...

Distributed word representations are used in many natural language processing tasks. When dealing with ambiguous words, it is de- sired to generate multi-sense embeddings, i.e., multiple representations per word. Therefore, several methods have been proposed to gen- erate different word representations based on parts of speech or topic, but these …...

This paper presents a contrastive analysis be- tween reading time and clause boundary cate- gories in the Japanese language. We overlaid reading time data, made with BCCWJ Eye- Track, and clause boundary categories annota- tion on the Balanced Corpus of Contemporary Written Japanese. Statistical analysis based on the Bayesian linear …...