EXPRESS – Expression and Recognition of Irony in Multicultural Social Media
Filipe Nuno Marques Pires da Silva,
R – INESC-ID Lisboa –
The main goal of this project is to systematically analyze the expression of irony and sarcasm in social media, in a cross-lingual and multicultural perspective, aiming at its automatic detection.
Automating the detection of irony and sarcasm is yet an unsolved problem. Previous efforts to achieve this aim have been limited in their approach, tending to focus on shallow textual cues indicative of ironic intent. Research has not systematically explored specific linguistic patterns and rhetorical strategies typically used to express verbal and situational irony in text. Moreover, previous studies usually consider these phenomena as a whole, instead of analyzing independently the mechanisms involved in expressing it.
This project aims to answer the following open research questions that are critical to improving irony and sarcasm detection in text mining activities:
i. In social media content, are the linguistic and extra-linguistic mechanisms used to express irony and sarcasm language-dependent?
ii. To what extent does irony expression and representativeness differ across domains, geographical regions, and targets involved?
iii. Which are the most representative linguistic and extra-linguistic devices used to express irony in different types of domains and topics?
iv. How reliable are individuals with respect to identifying and processing ironic messages?
v. Which rhetorical devices are easier to recognize, and which ones are particularly hard to detect, especially by humans not sharing the same cultural and pragmatic context?
vi. Which types of approaches best suit the automatic detection of irony and sarcasm in text? Are we capable of training shallow models to learn these phenomena? Or should we explicitly explore contextual and linguistic information, using advanced NLP strategies?
The main results achieved in the scope of this project will be presented by:
– Paula Carvalho: Identifying Situational Irony in News Headlines
– Sílvio Moreira: Modelling context with user embeddings for sarcasm detection in social media
– Filipe Silva: Computational Detection of Irony in Textual Messages
Date: 2016-Dec-19 Time: 11:00:00 Room: 336
For more information:
INESC-ID ESR Talks – June 2023
If you are a masters/PhD student or a postdoctoral fellow, come and present your work in an informal and friendly environment – and savour some tasty snacks!
Individual talks will be 10-15 minutes plus time for feedback. Enroll on your selected date by emailing pedro.ferreira[at]inesc-id.pt.
Happening on the second Wednesday of every month (4pm-5pm):
- 14 June (Alves Redol, Room 9)
- 12 July (Alves Redol, Room 9)
We hope to see you there!
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.