Morena Danieli


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Would you like to tell me more? Generating a corpus of psychotherapy dialogues
Seyed Mahed Mousavi | Alessandra Cervone | Morena Danieli | Giuseppe Riccardi
Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations

The acquisition of a dialogue corpus is a key step in the process of training a dialogue model. In this context, corpora acquisitions have been designed either for open-domain information retrieval or slot-filling (e.g. restaurant booking) tasks. However, there has been scarce research in the problem of collecting personal conversations with users over a long period of time. In this paper we focus on the types of dialogues that are required for mental health applications. One of these types is the follow-up dialogue that a psychotherapist would initiate in reviewing the progress of a Cognitive Behavioral Therapy (CBT) intervention. The elicitation of the dialogues is achieved through textual stimuli presented to dialogue writers. We propose an automatic algorithm that generates textual stimuli from personal narratives collected during psychotherapy interventions. The automatically generated stimuli are presented as a seed to dialogue writers following principled guidelines. We analyze the linguistic quality of the collected corpus and compare the performances of psychotherapists and non-expert dialogue writers. Moreover, we report the human evaluation of a corpus-based response-selection model.


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Functions of Silences towards Information Flow in Spoken Conversation
Shammur Absar Chowdhury | Evgeny Stepanov | Morena Danieli | Giuseppe Riccardi
Proceedings of the Workshop on Speech-Centric Natural Language Processing

Silence is an integral part of the most frequent turn-taking phenomena in spoken conversations. Silence is sized and placed within the conversation flow and it is coordinated by the speakers along with the other speech acts. The objective of this analytical study is twofold: to explore the functions of silence with duration of one second and above, towards information flow in a dyadic conversation utilizing the sequences of dialog acts present in the turns surrounding the silence itself; and to design a feature space useful for clustering the silences using a hierarchical concept formation algorithm. The resulting clusters are manually grouped into functional categories based on their similarities. It is observed that the silence plays an important role in response preparation, also can indicate speakers’ hesitation or indecisiveness. 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.


Summarizing Behaviours: An Experiment on the Annotation of Call-Centre Conversations
Morena Danieli | Balamurali A R | Evgeny Stepanov | Benoit Favre | Frederic Bechet | Giuseppe Riccardi
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Annotating and predicting behavioural aspects in conversations is becoming critical in the conversational analytics industry. In this paper we look into inter-annotator agreement of agent behaviour dimensions on two call center corpora. We find that the task can be annotated consistently over time, but that subjectivity issues impacts the quality of the annotation. The reformulation of some of the annotated dimensions is suggested in order to improve agreement.

How Interlocutors Coordinate with each other within Emotional Segments?
Firoj Alam | Shammur Absar Chowdhury | Morena Danieli | Giuseppe Riccardi
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

In this paper, we aim to investigate the coordination of interlocutors behavior in different emotional segments. Conversational coordination between the interlocutors is the tendency of speakers to predict and adjust each other accordingly on an ongoing conversation. In order to find such a coordination, we investigated 1) lexical similarities between the speakers in each emotional segments, 2) correlation between the interlocutors using psycholinguistic features, such as linguistic styles, psychological process, personal concerns among others, and 3) relation of interlocutors turn-taking behaviors such as competitiveness. To study the degree of coordination in different emotional segments, we conducted our experiments using real dyadic conversations collected from call centers in which agent’s emotional state include empathy and customer’s emotional states include anger and frustration. Our findings suggest that the most coordination occurs between the interlocutors inside anger segments, where as, a little coordination was observed when the agent was empathic, even though an increase in the amount of non-competitive overlaps was observed. We found no significant difference between anger and frustration segment in terms of turn-taking behaviors. However, the length of pause significantly decreases in the preceding segment of anger where as it increases in the preceding segment of frustration.


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Proceedings of the 2010 Workshop on Companionable Dialogue Systems
Yorick Wilks | Björn Gambäck | Morena Danieli
Proceedings of the 2010 Workshop on Companionable Dialogue Systems


Evaluation of Consensus on the Annotation of Prosodic Breaks in the Romance Corpus of Spontaneous Speech “C-ORAL-ROM
Morena Danieli | Juan María Garrido | Massimo Moneglia | Andrea Panizza | Silvia Quazza | Marc Swerts
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)


ADAM: The SI-TAL Corpus of Annotated Dialogues
Roldano Cattoni | Morena Danieli | Vanessa Sandrini | Claudia Soria
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)


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ADAM- An Architecture for xml-based Dialogue Annotation on Multiple levels
Claudia Soria | Roldano Cattoni | Morena Danieli
1st SIGdial Workshop on Discourse and Dialogue


Dialogue Strategies for Improving the Usability of Telephone Human-Machine Communication
Morena Danieli | Elisabetta Gerbino | Loreta M. Moisa
Interactive Spoken Dialog Systems: Bringing Speech and NLP Together in Real Applications


Book Reviews: Remnants of Meaning
Morena Danieli
Computational Linguistics, Volume 15, Number 2, June 1989