Articles

Language Adaptation (similarly to Domain Adaptation) is a general approach to extend existing resources from a better resourced language (donor) to a lesser resourced one (recipient) by exploiting the lexical and grammatical similarity between them when the two languages are related. The current study improves the state of the art …...

The goal of this work consists in building automatically from a social network (Youtube) an Algerian dialect lexicon. Each entry of this lexicon is composed by a word, written in Arabic script (modern standard Arabic or dialect) or Latin script (Arabizi, French or English). To each word, several transliterations are …...

Traditionally, the process whereby a lexicographer identifies a lexical item to add to a dictionary – a database of lexical items – has been time-consuming and subjective. In the modern age of online dictionaries, all queries for lexical entries not currently in the database are indistinguishable from a larger list …...

This paper describes an approach to identifying speakers and addressees in dialogues extracted from literary fiction, along with a dataset annotated for speaker and addressee. The overall purpose of this is to provide annotation of dialogue interaction between characters in literary corpora in order to allow for enriched search facilities …...

This paper introduces the GermaParl Corpus. We outline available data, the data preparation process for preparing corpora of parliamentary debates and the tools we used to obtain hand-coded annotations that serve as training data for classifying debates. Beyond introducing a resource that is valuable for research, we share experiences and …...

The design of LitText follows the traditional research approach in digital humanities (DH): collecting texts for critical reading and underlining parts of interest. Texts, in multiple languages, are prepared with a minimal markup language, and processed by NLP services. The result is converted to RDF (a.k.a. semantic-web, linked-data) triples. Additional …...

The present German political speeches corpus follows from a initial release which has been used in various research contexts. This article documents an updated and extended version: as 2017 marks the end of a legislative period, the corpus now includes the four highest ranked functions on federal state level. Besides …...

In recent years, the representation of words as vectors in a vector space, also known as word embeddings, has achieved a high degree of attention in the research community and the benefits of such a representation can be seen in the numerous applications that utilise it. In this work, we …...

In this paper the ES-Port corpus is presented. ES-Port is a spontaneous spoken human-human dialogue corpus in Spanish that consists of 1170 dialogues from calls to the technical support department of a telecommunications provider. This paper describes its compilation process, from the transcription of the raw audio to the anonymisation …...

In this paper, we present an approach to endow an Embodied Conversational Agent with engagement capabilities. We relied on a corpus of expert-novice interactions. Two types of manual annotation were conducted: non-verbal signals such as gestures, head movements and smiles; engagement level of both expert and novice during the interaction. …...

Distributed word representations are widely used in many NLP tasks, and there are lots of benchmarks to evaluate word embeddings in English. However there are barely evaluation sets with large enough amount of data for Chinese word embeddings. Therefore, in this paper, we create several evaluation sets for Chinese word …...

There is a growing body of research focused on task-oriented instructor-manipulator dialogue, whereby one dialogue participant initiates a reference to an entity in a common environment while the other participant must resolve this reference in order to manipulate said entity. Many of these works are based on disparate if nevertheless …...

This paper describes a method to create dialogue corpora annotated with interoperable semantic information. The corpus development is performed following the ISO linguistic annotation framework and primary data encoding initiatives. The Continuous Dialogue Corpus Creation (D3C) methodology is proposed, where a corpus is used as a shared repository for analysis …...

This paper describes the Metalogue Debate Trainee Corpus (DTC). DTC has been collected and annotated in order to facilitate the design of instructional and interactive models for Virtual Debate Coach application - an intelligent tutoring system used by young parliamentarians to train their debate skills. The training is concerned with …...

This paper introduces an annotated corpus of free conversations in Japanese. It is manually annotated with two kinds of linguistic information: dialog act and sympathy. First, each utterance in the free conversation is annotated with its dialog act, which is chosen from a coarse-grained set consisting of nine dialog act …...

In recent years, more and more multimodal corpora have been created. To our knowledge there is no publicly available tool which allows for acquiring controlled multimodal data of people in a rapid and scalable fashion. We therefore are proposing (1) a novel tool which will enable researchers to rapidly gather …...

With the emergence of new technologies, the surgical working environment becomes increasingly complex and comprises many medical devices which have to be monitored and controlled. With the aim of improving productivity and reducing the workload for the operating staff, we have developed an Intelligent Digital Assistant for Clinical Operating Rooms …...

Corpora of manuscripts of the same ancient text often preserve many variants. This is so because upon copying over long copy chains errors and editorial changes have been repeatedly made and reverted to the effect that most often no 2 variant texts of the same so-called textual tradition have exactly …...

Depending on the quality of the original document, Optical Character Recognition (OCR) can produce a range of errors – from erroneous letters to additional and spurious blank spaces. We applied a sequence-to-sequence machine translation system to correct word-segmentation OCR errors in scientific texts from the ACL collection with an estimated …...

We present Transc&Anno, a web-based collaboration tool allowing the transcription of text images and their shallow on-the-fly annotation. Transc&Anno was originally developed in order to address the needs of learner corpora research so as to facilitate digitisation of handwritten learner essays. However, the tool can be used for the creation …...