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Found 15 papers, 3 papers with code
Concept Tagging for Natural Language Understanding: Two Decadelong Algorithm Development
The third contribution is the release of a repository of the algorithms, datasets and recipes for NLU evaluation.
Natural Language Understanding
Vocal Bursts Valence Prediction
Coherence Models for Dialogue
Nevertheless, both the original grid and its extensions do not model intents, a crucial aspect that has been studied widely in the literature in connection to dialogue structure.
Depression Severity Estimation from Multiple Modalities
In this AVEC challenge we explore different modalities (speech, language and visual features extracted from face) to design and develop automatic methods for the detection of depression.
Functions of Silences towards Information Flow in Spoken Conversation
It is also observed that sometimes long silences can be used deliberately to get a forced response from another speaker thus making silence a multi-functional and an important catalyst towards information flow.
Automatic Community Creation for Abstractive Spoken Conversations Summarization
Summarization of spoken conversations is a challenging task, since it requires deep understanding of dialogs.
Predicting Brexit: Classifying Agreement is Better than Sentiment and Pollsters
On June 23rd 2016, UK held the referendum which ratified the exit from the EU.
Summarizing Behaviours: An Experiment on the Annotation of Call-Centre Conversations
Annotating and predicting behavioural aspects in conversations is becoming critical in the conversational analytics industry.
Transfer of Corpus-Specific Dialogue Act Annotation to ISO Standard: Is it worth it?
In this paper we test the utility of the ISO standard through comparative evaluation of the corpus-specific legacy and the semi-automatically transferred DiAML DA annotations on supervised dialogue act classification task.
The Development of the Multilingual LUNA Corpus for Spoken Language System Porting
We discuss the challenges of the manual creation of multilingual corpora, as well as present the algorithms for the creation of multilingual SLU via Statistical Machine Translation (SMT).
