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- ArticleSeptember 2024
Using Neural Coherence Models to Assess Discourse Coherence
AbstractDiscourse coherence is an important characteristic of well-written texts and coherent speech. It is observed at several levels of discourse analysis: lexical, syntactic, semantic, and pragmatic. Recent work on discourse coherence uses deep neural ...
- research-articleJuly 2024
A multimodal model for predicting feedback position and type during conversation
Highlights- Study of conversational feedback spontaneous human-human conversations.
- A new fine-grained classification of multimodal generic and specific feedback.
- Automatic classification based on prosodic, morpho-syntactic and gestural ...
This study investigates conversational feedback, that is, a listener's reaction in response to a speaker, a phenomenon which occurs in all natural interactions. Feedback depends on the main speaker's productions and in return supports the ...
- research-articleOctober 2023
An Arabic Probabilistic Parser Based on a Property Grammar
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 22, Issue 10Article No.: 237, Pages 1–25https://doi.org/10.1145/3612921The specificities of Arabic parsing, such as agglutination, vocalization, and the relatively order-free words in Arabic sentences, remain major issues to consider. To promote its robustness, such parseing should define different types of constraints. ...
- research-articleOctober 2023
SMYLE: A new multimodal resource of talk-in-interaction including neuro-physiological signal
- Auriane Boudin,
- Roxane Bertrand,
- Stéphane Rauzy,
- Matthis Houlès,
- Thierry Legou,
- Magalie Ochs,
- Philippe Blache
ICMI '23 Companion: Companion Publication of the 25th International Conference on Multimodal InteractionPages 344–352https://doi.org/10.1145/3610661.3616188This article presents the SMYLE corpus, the first multimodal corpus in French (16h) including neuro-physiological data from 60 participants engaged in face-to-face storytelling (8.2h) and free conversation tasks (7.8h). The originality of this corpus ...
- research-articleDecember 2021
Not all arguments are processed equally: a distributional model of argument complexity
Language Resources and Evaluation (SPLRE), Volume 55, Issue 4Pages 873–900https://doi.org/10.1007/s10579-021-09533-9AbstractThis work addresses some questions about language processing: what does it mean that natural language sentences are semantically complex? What semantic features can determine different degrees of difficulty for human comprehenders? Our goal is to ...
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- ArticleSeptember 2021
A Multimodal Model for Predicting Conversational Feedbacks
AbstractWe propose in this paper a statistical model in the perspective of predicting listener’s feedbacks in a conversation. The first contribution of the paper is a study of the prediction of all feedbacks, including those in overlap with the speaker ...
- extended-abstractOctober 2020
An integrated model for predicting backchannel feedbacks
IVA '20: Proceedings of the 20th ACM International Conference on Intelligent Virtual AgentsArticle No.: 6, Pages 1–3https://doi.org/10.1145/3383652.3423948We present in this paper a method for generating in real time a great variability of multimodal backchannel feedbacks, increasing the naturalness of IVAs. The originality of the approach lies in its capacity to generate all types of features into a ...
- extended-abstractJuly 2019
Multimodal Cues of the Sense of Presence and Co-presence in Human-Virtual Agent Interaction
IVA '19: Proceedings of the 19th ACM International Conference on Intelligent Virtual AgentsPages 218–220https://doi.org/10.1145/3308532.3329438A key challenge when studying human-agent interaction is the evaluation of user's experience. In virtual reality, this question is addressed by studying the sense of "presence'' and"co-presence'', generally assessed thanks to well-grounded subjective ...
- extended-abstractJuly 2019
Evaluating Temporal Predictive Features for Virtual Patients Feedbacks
IVA '19: Proceedings of the 19th ACM International Conference on Intelligent Virtual AgentsPages 88–90https://doi.org/10.1145/3308532.3329426In the intelligent virtual agent domain, several machine learning models have been proposed to automatically determine the feedbacks of virtual agents during an interaction, using human-human interaction datasets as training corpora and most commonly ...
- ArticleJune 2019
A Coherence Model for Sentence Ordering
Natural Language Processing and Information SystemsPages 261–273https://doi.org/10.1007/978-3-030-23281-8_21AbstractText generation applications such as machine translation and automatic summarization require an additional post-processing step to enhance readability and coherence of output texts. In this work, we identify a set of coherence features from ...
- research-articleNovember 2017
Dialogue management in task-oriented dialogue systems
ISIAA 2017: Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial AgentsPages 4–8https://doi.org/10.1145/3139491.3139507This paper presents a new framework for implementing a dialogue manager, making it possible to infer new information in the course of the interaction as well as generating responses from the virtual agent. The approach relies on a specific organization ...
- research-articleJuly 2017
Fuzziness and variability in natural language processing
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)Pages 1–6https://doi.org/10.1109/FUZZ-IEEE.2017.8015692This paper aims to establish a link between linguistics and fuzzy phenomena. Throughout the history, linguistics has been relying on discrete descriptions to explain Natural Language Processing. This fact has a negative impact in various areas of language ...
- research-articleApril 2017
Morphological disambiguation of Tunisian dialect
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 29, Issue 2Pages 147–155https://doi.org/10.1016/j.jksuci.2017.01.004In this paper, we propose a method to disambiguate the output of a morphological analyzer of the Tunisian dialect. We test three machine-learning techniques that classify the morphological analysis of each word token into two classes: true and false. ...
- ArticleNovember 2015
A Formal Modeling Method to Enrich the Arabic Treebank ATB with Syntactic Properties
IC3K 2015: Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge ManagementPages 108–117https://doi.org/10.5220/0005617001080117The enrichment of an Arabic treebank with syntactic properties can facilitate many types of parsing processes. This enrichment allows also the increase of its use in different NLP applications, the acquirement of new linguistic resources and the ease of ...
- ArticleApril 2015
Enrichment of the Arabic Treebank ATB with Syntactic Properties
ACLING '15: Proceedings of the 2015 First International Conference on Arabic Computational Linguistics (ACLing)Pages 15–20https://doi.org/10.1109/ACLing.2015.9The enrichment of Arabic treebank with syntactic properties provides the increase of its use in different applications, the acquisition of new linguistic resources and the alleviation of the probabilistic parsing process by using statistics to limit the ...
- research-articleDecember 2014
Minimum redundancy and maximum relevance for single and multi-document Arabic text summarization
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 26, Issue 4Pages 450–461https://doi.org/10.1016/j.jksuci.2014.06.008Automatic text summarization aims to produce summaries for one or more texts using machine techniques. In this paper, we propose a novel statistical summarization system for Arabic texts. Our system uses a clustering algorithm and an adapted ...
- ArticleSeptember 2012
Building and Exploiting Constraint-Based Treebanks
CSLP 2012: Revised Selected Papers of the 7th International Workshop on Constraint Solving and Language Processing - Volume 8114Pages 14–30https://doi.org/10.1007/978-3-642-41578-4_2We present in this paper a technique aiming at enriching existing treebanks with constraint-based information. The technique consists in acquiring a constraint grammar from the original constituency treebank and applying it with a constraint parser to ...
- research-articleAugust 2010
A formal scheme for multimodal grammars
COLING '10: Proceedings of the 23rd International Conference on Computational Linguistics: PostersPages 63–71We present in this paper a formal approach for the representation of multimodal information. This approach, thanks to the to use of typed feature structures and hypergraphs, generalizes existing ones (typically annotation graphs) in several ways. It ...
- research-articleJuly 2010
Multimodal annotation of conversational data
- P. Blache,
- R. Bertrand,
- B. Bigi,
- E. Bruno,
- E. Cela,
- R. Espesser,
- G. Ferré,
- M. Guardiola,
- D. Hirst,
- E.-P. Magro,
- J.-C. Martin,
- C. Meunier,
- M.-A. Morel,
- E. Murisasco,
- I Nesterenko,
- P. Nocera,
- B. Pallaud,
- L. Prévot,
- B. Priego-Valverde,
- J. Seinturier,
- N. Tan,
- M. Tellier,
- S. Rauzy
We propose in this paper a broad-coverage approach for multimodal annotation of conversational data. Large annotation projects addressing the question of multimodal annotation bring together many different kinds of information from different domains, ...
- research-articleAugust 2009
A general scheme for broad-coverage multimodal annotation
We present in this paper a formal and computational scheme in the perspective of broad-coverage multimodal annotation. We propose in particular to introduce the notion of annotation hypergraphs in which primary and secondary data are represented by ...