Total Articles: 38870

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17828

The tremendous amount of user generated data through social networking sites led to the gaining popularity of automatic text classification in the field of computational linguistics over the past decade. Within this domain, one problem that has drawn the attention of many researchers is automatic humor detection in texts. In …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17829

Existing dialogue data collection methods such as the Wizard of Oz method (WoZ) or real dialogue recording are costly, and they prevent launching a new dialogue system. In this study, we requested crowd workers in crowdsourcing to create dialogue scenarios according to the instruction of the situation for persuasive dialogue …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17830

Sentiment analysis has been receiving increasing interest as it conveys valuable information in regard to people’s preferences and opinions. In this work, we present a sentiment analyzer that identifies the overall contextual polarity for Standard Arabic text. The contribution of this work is threefold. First, we modify and extend SLSA; …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17831

While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of more nuanced affect has received less attention, and in particular, there are very few publicly available gold standard annotated resources. To address this lack, we present …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17832

The biomedical domain provides a large amount of linguistic resources usable for biomedical text mining. While most of the resources used in biomedical Natural Language Processing are available for English, for other languages including Romanian the access to language resources is not straight-forward. In this paper, we present the biomedical …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17833

We present here the largest publicly available corpus of Romanian. Its written component contains 1,257,752,812 tokens, distributed, in an unbalanced way, in several language styles (legal, administrative, scientific, journalistic, imaginative, memoirs, blogposts), in four domains (arts and culture, nature, society, science) and in 71 subdomains. The oral component consists of …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17834

Adherence to drug usage guidelines for prescription and over-the-counter drugs is critical for drug safety and effectiveness of treatment. Drug usage guideline documents contain advice on potential drug-drug interaction, drug-food interaction, and drug administration process. Current research on drug safety and public health indicates patients are often either unaware of …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17835

In this paper, we describe the creation of a resource - ASAP++ - which is basically annotations of the Automatic Student Assessment Prize’s Automatic Essay Grading dataset. These annotations are scores for different attributes of the essays, such as content, word choice, organization, sentence fluency, etc. Each of these essays …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17836

Natural Language Processing is one of the most important fields of artificial intelligence. The rapid growth of digital content has made this field both practical and challenging at the same time. As opposed to less-resourced languages like Persian, there are several text corpora in dominant languages like English which can …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17837

Word segmentation, a fundamental technology for lots of downstream applications, plays a significant role in Natural Language Processing, especially for those languages without explicit delimiters, like Chinese, Korean, Japanese and etc. Basically, word segmentation for modern Chinese is worked out to a certain extent. Nevertheless, Classical Chinese is largely neglected, …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17838

We have constructed the simplified corpus for the Japanese language and selected the core vocabulary. The corpus has 50,000 manually simplified and aligned sentences. This corpus contains the original sentences, simplified sentences and English translation of the original sentences. It can be used for automatic text simplification as well as …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17839

Predicting emotion categories (e.g. anger, joy, sadness) expressed by a sentence is challenging due to inherent multi-label smaller pieces such as phrases and clauses. To date, emotion has been studied in single genre, while models of human behaviors or situational awareness in the event of disasters require emotion modeling in …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17840

Developments in the Dutch language during the 17th century, part of the Early Modern period, form an active research topic in historical linguistics and literature. To enable automatic quantitative analysis, a corpus of letters by the 17th century Dutch author and politician P.C. Hooft is manually annotated with parts-of-speech, document …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17841

In this paper we describe the Japanese-English Subtitle Corpus (JESC). JESC is a large Japanese-English parallel corpus covering the underrepresented domain of conversational dialogue. It consists of more than 3.2 million examples, making it the largest freely available dataset of its kind. The corpus was assembled by crawling and aligning …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17842

The computational treatment of human personality - both for the recognition of personality traits from text and for the generation of text so as to reflect a particular set of traits - is central to the development of NLP applications. As a means to provide a basic resource for studies …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17843

In this paper we describe the complexity of building a lemmatizer for Arabic which has a rich and complex morphology, and show some differences between lemmatization and surface stemming, i.e. removing prefixes and suffixes from words. We discuss the need for a fast and accurate lammatization to enhance Arabic Information …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17844

With the growth of Internet usage, a massive amount of textual data is generated on social media and the Web. As the text on the Web are generated by different authors with various types of writing styles and different encodings, a preprocessing step is required before applying any NLP task. …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17845

This paper describes how a tokenizer can be trained from any dataset in the Universal Dependencies 2.1 corpus (UD2) (Nivre et al., 2017). A software tool, which relies on Elephant (Evang et al., 2013) to perform the training, is also made available. Beyond providing the community with a large choice …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17846

With the continuous growth of benchmark corpora, which often annotate the same documents, there is a range of opportunities to compare and combine similar and complementary annotations. However, these opportunities are hampered by a wide range of problems that are related to the lack of resource interoperability. In this paper, …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17847

While formalizing legal sources is an important challenge, the generation of a formal representation from legal texts has been far less considered and requires considerable expertise. In order to improve the uniformity, richness, and efficiency of legal annotation, it is necessary to experiment with annotations and the annotation process. This …...