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Found 12 papers, 4 papers with code
Towards Low-Resource Real-Time Assessment of Empathy in Counselling
Gauging therapist empathy in counselling is an important component of understanding counselling quality.
Ask the experts: sourcing high-quality datasets for nutritional counselling through Human-AI collaboration
We release HAI-coaching, the first expert-annotated nutrition counselling dataset containing ~2. 4K dietary struggles from crowd workers, and ~97K related supportive texts generated by ChatGPT.
Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues
Research on natural language processing for counselling dialogue analysis has seen substantial development in recent years, but access to this area remains extremely limited due to the lack of publicly available expert-annotated therapy conversations.
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Human-centricity is the core value behind the evolution of manufacturing towards Industry 5. 0.
Trans4E: Link Prediction on Scholarly Knowledge Graphs
This is typical for KGs that categorize a large number of entities (e. g., research articles, patents, persons) according to a relatively small set of categories.
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
Today, we are seeing an ever-increasing number of clinical notes that contain clinical results, images, and textual descriptions of patient's health state.
Towards Detecting Need for Empathetic Response in Motivational Interviewing
Empathetic response from the therapist is key to the success of clinical psychotherapy, especially motivational interviewing.
Interval Probabilistic Fuzzy WordNet
Utilizing our algorithm and the open-American-online-corpus (OANC) and UKB word-sense-disambiguation, we constructed and published the IPF synsets of WordNet for English language.
STARdom: an architecture for trusted and secure human-centered manufacturing systems
There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centered manufacturing systems at the core of the evolution towards Industry 5. 0.
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain
As such, in this paper, we present a new architecture that takes advantage of Natural Language Processing and Machine Learning methods for extracting entities and relationships from research publications and integrates them in a large-scale knowledge graph.
An Algorithm for Fuzzification of WordNets, Supported by a Mathematical Proof
Although the standard WLDs are being used in many successful Text-Mining applications, they have the limitation that word-senses are considered to represent the meaning associated to their corresponding synsets, to the same degree, which is not generally true.
Semantic Role Labeling for Knowledge Graph Extraction from Text
This paper introduces TakeFive, a new semantic role labeling method that transforms a text into a frame-oriented knowledge graph.
