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Found 23 papers, 0 papers with code
Introducing the Reference Corpus of Contemporary Portuguese Online
We present our work in processing the Reference Corpus of Contemporary Portuguese and its publication online.
Modality in Text: a Proposal for Corpus Annotation
We present a annotation scheme for modality in Portuguese.
The Gulf of Guinea Creole Corpora
We present the process of building linguistic corpora of the Portuguese-related Gulf of Guinea creoles, a cluster of four historically related languages: Santome, Angolar, Principense and Fa dÂ’Amb{\^o}.
Enhancing Access to Online Education: Quality Machine Translation of MOOC Content
The present work is an overview of the TraMOOC (Translation for Massive Open Online Courses) research and innovation project, a machine translation approach for online educational content.
Unraveling reported dreams with text analytics
We investigate what distinguishes reported dreams from other personal narratives.
Annotating Speech, Attitude and Perception Reports
We present REPORTS, an annotation scheme for the annotation of speech, attitude and perception reports.
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
In this paper, we define the task, describe the creation of the datasets, and discuss the results of the participating 28 systems submitted by 10 teams.
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
In this paper, we describe SemEval-2013 Task 4: the definition, the data, the evaluation and the results.
BLISS: An Agent for Collecting Spoken Dialogue Data about Health and Well-being
The goal of Behaviour-based Language-Interactive Speaking Systems (BLISS) is to understand the motivations behind people{'}s happiness by conducting a personalized spoken dialogue based on a happiness model.
Modality annotation for Portuguese: from manual annotation to automatic labeling
We investigate modality in Portuguese and we combine a linguistic perspective with an application-oriented perspective on modality.
Doing not Being: Concrete Language as a Bridge from Language Technology to Ethnically Inclusive Job Ads
This paper makes the case for studying concreteness in language as a bridge that will allow language technology to support the understanding and improvement of ethnic inclusivity in job advertisements.
Negation Detection in Dutch Spoken Human-Computer Conversations
We use transfer learning and trained NegBERT (an existing BERT implementation used for negation detection) on English data with multilingual BERT to detect negation in Dutch dialogues.
Creating a Data Set of Abstractive Summaries of Turn-labeled Spoken Human-Computer Conversations
Digital recorded written and spoken dialogues are becoming increasingly available as an effect of the technological advances such as online messenger services and the use of chatbots.
