Hello, World!
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Was born!
Discovered programming, decided to become a video game developer.
Watched the movie Her, decided to work on Artificial Intelligence.
Thesis: Predictive Maintenance for High Performance Computing (HPC) Environments
Thesis: Representation, Information Extraction, and Summarization for Automatic Multimedia Understanding
Information extraction from transcribed dialogues and mail. Meeting summarization. Finetuning and evaluating LLMs for natural dialogue understanding.
Currently investigating the mechanisms for discourse evolution, politicization and spread on social media.
My main interest is to extract high-level descriptors (document class, topics, entities..) from textual data.
Harrando, I. Troncy, R.
3rd Conference on Language, Data and Knowledge (LDK'2021), Zaragoza, Spain, September 2021.
Wanna build a text classifier without any training data that can also explain its predictions? ZeSTE may be what you're looking for!
Harrando, I. Reboud, A. Schleider, T. Ehrhart, T. Troncy, R.
IEEE Internet Computing, Special issue on knowledge-infused learning for computational social systems, July 2022.
To improve the state of the art on zero-shot text classification, we combine the explanatory power of a common-sense knowledge graph with the world knowledge contained in pretrained-language models by conditioning them on domain-specific prompts.
Harrando, I. Troncy, R.
13th Conference on Recent Advances in NLP (RANLP'2021), Online, September 2021.
Topic Modeling Evaluation is an open problem in the Topic Modeling community. While the reliance on automatic evaluation remains more or less necessary to quickly assess the performance of a given topic model algorithm, there is no study that attempts to evaluate several algorithms in the literature given the same preprocessing, datasets, and metrics. That's what we did!
Lisena, P. Harrando, I. Troncy, R.
2nd Workshop for NLP Open Source Software (NLP-OSS @ EMNLP'2020)}, Online, November 2020.
This API is built to dynamically perform training, inference, and evaluation for different topic modeling techniques. The API grant common interfaces and command for accessing the different models, make easier to compare them.
Harrando, I. Lisena, P. Troncy, R.
September 2021, 3rd Conference on Language, Data and Knowledge (LDK'2021)
How to make the results of topic modeling algorithms more understandable to humans? Try to add some common sense into the process :)
Harrando, I. Troncy, R.
2nd International Workshop on Data-driven Personalisation of Television (DataTV @ IMX'2021), Online, June 2021.
In this work, we present an approach to content segmentation that leverages topical coherence, language modeling and word embeddings to detect change of topics.
Harrando, I. Troncy, R.
18th Extended Semantic Web Conference (ESWC'2021 - Poster Track), Online, June 2021.
Injecting real-world information (typically contained in Knowledge Graphs) and hand-crafted features into a pipeline for training end-to-end Natural Language Processing models is an open challenge. In this paper, we propose to approach the task of Named Entity Recognition, which is traditionally viewed as a Sequence Tagging problem, as a Graph Classification problem.
I study how to represent and extract information from multimedia content (e.g. videos) for narrative summarization, memorability prediction and recommendation.
Harrando, I. Troncy, R.
Multimedia Systems Journal, January 2023.
Reboud, A. Harrando, I. Troncy, R.
Multimedia Systems Journal, January 2023.
Reboud, A. Harrando, I. Laaksonen, J. Troncy, R.
The International Workshop on Video Retrieval Evaluation (TRECVID'2020), Online, November 2020.
Harrando, I. Reboud, A. Lisena, P. Troncy, R. Laaksonen, J. Virkkunen, A. Kurimo M.
11th MediaEval Benchmarking Initiative for Multimedia Evaluation Workshop (MediaEval'2020), Online, December 2020
Reboud, A. Harrando, I. Laaksonen, J. Troncy, R.
MediaEval Benchmarking Initiative for Multimedia Evaluation Workshop (MediaEval'2019), Sophia Antipolis, France, October 2019, 10th
Reboud, A. Harrando, I. Laaksonen, J. Troncy, R.
The 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS @ RecSys'2021), Amsterdam, Netherlands, September 2021.
In this work, we study the potential of using off-the-shelf automatic annotation tools from the Information Extraction literature to improve recommendation performance without any extra cost of training, data collection or annotation.
Reboud, A. Harrando, I. Laaksonen, J. Troncy, R.
International Workshop on Video Retrieval Evaluation (TRECVID'2021), Online, December 2021
Reboud, A. Harrando, I. Laaksonen, J. Troncy, R.
12th MediaEval Benchmarking Initiative for Multimedia Evaluation Workshop (MediaEval'2021), Online, December 2021.
June 2019, The EBU Metadata Developer Network Workshop (EBU-MDN), Geneva, Switzerland.
In the context of the European research project MeMAD (Methods for Managing Audiovisual Data), we face the challenge of modeling semantically audiovisual legacy metadata and results of automatic analysis from multiple partners and in an interoperable manner. In this talk, I present the MeMAD Knowledge Graph, which provides metadata for more than 60K hours of audiovisual content, spanning multiple channels, audiovisual genres, themes and languages.
My current research investigates the spread of (mis)information on social media, with particular attention to its epistemic and political dimensions. Using methods from statistical modeling, natural language processing, and graph analysis, I aim to shed more light on the mechanisms that drive content engagement and sharing behaviors online).
Work in progress. In the meantime, please check a few contributions I made during my PhD to the topic of (mis)information spread.
Peskine, Y. Alfarano, G. Harrando, I. Papotti, P. Troncy, R.
12th MediaEval Benchmarking Initiative for Multimedia Evaluation Workshop (MediaEval'2021), Online, December 2021.
Dadoun, I. Harrando, I. Lisena, P. Reboud, A. Troncy, R.
RecSys Challenge, Online, August 2020.
I love consuming media and I also love making lists. Therefore, here are some lists of my favorite things that I love and would like to share with you (and yap about whenever I can).
Peruse at your leasure!
Anything you like?
If you have any recommendation based on what you see, please let me know!
Exciting projects are in the works!