Total Articles: 38870

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17382

This paper describes the ICoN corpus, a corpus of academic written Italian, some of the directions of research it could open, and some of the first outcomes of research conducted on it. The ICoN corpus includes 2,115,000 tokens written by students having Italian as L2 students (level B2 or higher) …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17383

Although discourse parsing is an important and fundamental task in natural language processing, few languages have corpora anno- tated with discourse relations and if any, they are small in size. Creating a new corpus of discourse relations by hand is costly and time-consuming. To cope with this problem, Kawahara et …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17384

This article presents a different method for creation of error annotated corpora. The approach suggested in this paper consists of multiple parts - text correction, automated morphological analysis, automated text alignment and error annotation. Error annotation can easily be semi-automated with a rule-based system, similar to the one used in …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17385

This paper introduces preliminary analyses of embodied interactions, drawing on a multimodal corpus of Japanese conversations, which we video-recorded during scientific communications at a museum in Tokyo, the Miraikan. A comparison of similar cases extracted from our multimodal corpus shows both similarities and differences, not only in language use but …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17386

Social or interactional dialog is less well described than task-based or instrumental dialog, although there is increasing interest in the genre, particularly in light of new spoken and text dialog applications which aim to relate to the user as well as perform tasks. Dialog act annotation aids understanding of interaction …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17387

The paper offers a quantitative and qualitative analysis of explicit inter- and intra-sentential discourse connectives in Turkish Discourse Bank, or TDB version 1.1, a multi-genre resource of written Turkish manually annotated at the discourse level following the goals and principles of Penn Discourse TreeBank. TDB 1.1 is a 40K-word corpus …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17388

We present our work on annotating reflections, an essential counselor behavioral code in motivational interviewing for psychotherapy on conversations that are a combination of casual and therapeutic dialogue. We annotated all the therapists’ utterances from ten transcripts spanning more than five hours of conversation with Complex Reflection, Simple Reflection, or …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17389

The voice-based human-machine interaction systems such as personal virtual assistants, chat-bots, and contact centers are becoming increasingly popular. In this trend, conversation mining research also is getting the attention of many researchers. Standardized data play an important role in conversation mining. In this paper, we present a new Vietnamese corpus …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17390

We present an analysis of how personal information is shared in chat-oriented dialogue. We develop an annotation scheme, including entity-types, attributes, and values, that can be used to annotate the presence and type of personal information in these dialogues. A collection of attribute types is identified from the annotation of …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17391

Dialogue systems for hotel and tourist information have typically simplified the richness of the domain, focusing system utterances on only a few selected attributes such as price, location and type of rooms. However, much more content is typically available for hotels, often as many as 50 distinct instantiated attributes for …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17392

Theoretical studies on the Information Structure–prosody interface argue that the content packaged in terms of theme and rheme correlates with the intonation of the corresponding sentence. However, there are few empirical studies that support this argument and even fewer resources that promote reproducibility and scalability of experiments. In this paper, …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17393

We are planning to develop argumentative dialogue systems that can discuss various topics with people by using large-scale argumenta- tion structures. In this paper, we describe the creation process of these argumentation structures. We created ten structures each having more than 2000 nodes of five topics in English and five …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17394

In this paper we present (1) a processing architecture used to collect multi-modal sensor data, both for corpora collection and real-time processing, (2) an open-source implementation thereof and (3) a use-case where we deploy the architecture in a multi-party deception game, featuring six human players and one robot. The architecture …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17395

With the aim of designing a Spoken Dialogue System which adapts to the user’s communication idiosyncrasies, we present a multi- cultural study to investigate the causes of differences in the communication styles elaborateness and directness in Human-Computer Interaction. By adapting the system’s behaviour to the user, the conversation agent may …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17396

Parts of Speech (POS) tagging is an important pre-requisite for various Natural Language Processing tasks. POS tagging is rather challenging for morphologically rich languages such as Tamil. Being low-resourced, Tamil does not have a large POS annotated corpus to build good quality POS taggers using supervised machine learning techniques. In …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17397

As the quantity of annotated language data and the quality of machine learning algorithms have increased over time, statistical part-of-speech (POS) taggers trained over large datasets have become as robust or better than their rule-based counterparts. However, for lesser-resourced languages such as Welsh there is simply not enough accurately annotated …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17398

In this paper, we describe the “Historisches Niederdeutsch Tagset” (HiNTS). This tagset has been developed for annotating parts-of- speech and morphology in Middle Low German texts, a group of historical (1200–1650) dialects of German. A non-standardized language such as Middle Low German has special conditions and requirements which have to …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17399

We present Wasim, a web-based tool for semi-automatic morphosyntactic annotation of inflectional languages resources. The tool features high flexibility in segmenting tokens, editing, diacritizing, and labelling tokens and segments. Text annotation of highly inflectional languages (including Arabic) requires key functionality which we could not see in a survey of existing …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17400

This article describes the creation of corpora with part-of-speech annotations for three regional languages of France: Alsatian, Occitan and Picard. These manual annotations were performed in the context of the RESTAURE project, whose goal is to develop resources and tools for these under-resourced French regional languages. The article presents the …...

nan

Publication: TIPSTER (2018)

DOI: nan

Paper ID: 17401

Part-of-speech (POS) tagging is one of the most important addressed areas in the natural language processing (NLP). There are effective POS taggers for many languages including Arabic. However, POS research for Arabic focused mainly on Modern Standard Arabic (MSA), while less attention was directed towards Dialect Arabic (DA). MSA is …...