Search Results for author: Els Lefever

Found 43 papers, 3 papers with code

When the Student Becomes the Master: Learning Better and Smaller Monolingual Models from mBERT

no code implementations COLING 2022 Pranaydeep Singh, Els Lefever

In this research, we present pilot experiments to distil monolingual models from a jointly trained model for 102 languages (mBERT).

D-Terminer: Online Demo for Monolingual and Bilingual Automatic Term Extraction

no code implementations TERM (LREC) 2022 Ayla Rigouts Terryn, Veronique Hoste, Els Lefever

This contribution presents D-Terminer: an open access, online demo for monolingual and multilingual automatic term extraction from parallel corpora.

Term Extraction Translation

Combining Language Models and Linguistic Information to Label Entities in Memes

no code implementations CONSTRAINT (ACL) 2022 Pranaydeep Singh, Aaron Maladry, Els Lefever

This paper describes the system we developed for the shared task ‘Hero, Villain and Victim: Dissecting harmful memes for Semantic role labelling of entities’ organised in the framework of the Second Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation (Constraint 2022).

SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis

no code implementations WASSA (ACL) 2022 Ellen De Geyndt, Orphee De Clercq, Cynthia Van Hee, Els Lefever, Pranaydeep Singh, Olivier Parent, Veronique Hoste

In this paper, we present the SentEMO platform, a tool that provides aspect-based sentiment analysis and emotion detection of unstructured text data such as reviews, emails and customer care conversations.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

Investigating the Quality of Static Anchor Embeddings from Transformers for Under-Resourced Languages

1 code implementation SIGUL (LREC) 2022 Pranaydeep Singh, Orphee De Clercq, Els Lefever

This paper reports on experiments for cross-lingual transfer using the anchor-based approach of Schuster et al. (2019) for English and a low-resourced language, namely Hindi.

Cross-Lingual Transfer

Irony Detection for Dutch: a Venture into the Implicit

no code implementations WASSA (ACL) 2022 Aaron Maladry, Els Lefever, Cynthia Van Hee, Veronique Hoste

This paper presents the results of a replication experiment for automatic irony detection in Dutch social media text, investigating both a feature-based SVM classifier, as was done by Van Hee et al. (2017) and and a transformer-based approach.

Common Sense Reasoning

Annotating Topics, Stance, Argumentativeness and Claims in Dutch Social Media Comments: A Pilot Study

no code implementations COLING (ArgMining) 2020 Nina Bauwelinck, Els Lefever

This pilot study reports on the annotation of a corpus of 100 Dutch user comments made in response to politically-themed news articles on Facebook.

LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines

no code implementations SEMEVAL 2020 Bram Vanroy, Sofie Labat, Olha Kaminska, Els Lefever, Veronique Hoste

This paper presents two different systems for the SemEval shared task 7 on Assessing Humor in Edited News Headlines, sub-task 1, where the aim was to estimate the intensity of humor generated in edited headlines.

Language Modelling named-entity-recognition +3

TermEval 2020: Shared Task on Automatic Term Extraction Using the Annotated Corpora for Term Extraction Research (ACTER) Dataset

no code implementations LREC 2020 Ayla Rigouts Terryn, Veronique Hoste, Patrick Drouin, Els Lefever

The TermEval 2020 shared task provided a platform for researchers to work on automatic term extraction (ATE) with the same dataset: the Annotated Corpora for Term Extraction Research (ACTER).

Term Extraction

Identifying Cognates in English-Dutch and French-Dutch by means of Orthographic Information and Cross-lingual Word Embeddings

no code implementations LREC 2020 Els Lefever, Sofie Labat, Pranaydeep Singh

This paper investigates the validity of combining more traditional orthographic information with cross-lingual word embeddings to identify cognate pairs in English-Dutch and French-Dutch.

Cross-Lingual Word Embeddings Word Embeddings

Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat

no code implementations RANLP 2019 Ayla Rigouts Terryn, Patrick Drouin, Veronique Hoste, Els Lefever

Traditional approaches to automatic term extraction do not rely on machine learning (ML) and select the top n ranked candidate terms or candidate terms above a certain predefined cut-off point, based on a limited number of linguistic and statistical clues.

BIG-bench Machine Learning Term Extraction

We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter

no code implementations CL 2018 Cynthia Van Hee, Els Lefever, V{\'e}ronique Hoste

Although common sense and connotative knowledge come naturally to most people, computers still struggle to perform well on tasks for which such extratextual information is required.

Common Sense Reasoning General Classification +2

Economic Event Detection in Company-Specific News Text

no code implementations WS 2018 Gilles Jacobs, Els Lefever, V{\'e}ronique Hoste

This paper presents a dataset and supervised classification approach for economic event detection in English news articles.

BIG-bench Machine Learning Classification +4

SemEval-2018 Task 3: Irony Detection in English Tweets

no code implementations SEMEVAL 2018 Cynthia Van Hee, Els Lefever, V{\'e}ronique Hoste

Our shared tasks received submissions from 43 teams for the binary classification Task A and from 31 teams for the multiclass Task B.

Binary Classification Classification +2

Automatic Detection of Cyberbullying in Social Media Text

no code implementations17 Jan 2018 Cynthia Van Hee, Gilles Jacobs, Chris Emmery, Bart Desmet, Els Lefever, Ben Verhoeven, Guy De Pauw, Walter Daelemans, Véronique Hoste

While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online.

Binary Classification

Towards an integrated pipeline for aspect-based sentiment analysis in various domains

no code implementations WS 2017 Orph{\'e}e De Clercq, Els Lefever, Gilles Jacobs, Tijl Carpels, V{\'e}ronique Hoste

This paper presents an integrated ABSA pipeline for Dutch that has been developed and tested on qualitative user feedback coming from three domains: retail, banking and human resources.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3

Exploring the Realization of Irony in Twitter Data

no code implementations LREC 2016 Cynthia Van Hee, Els Lefever, V{\'e}ronique Hoste

Handling figurative language like irony is currently a challenging task in natural language processing.

Sentiment Analysis

A Classification-based Approach to Economic Event Detection in Dutch News Text

no code implementations LREC 2016 Els Lefever, V{\'e}ronique Hoste

Breaking news on economic events such as stock splits or mergers and acquisitions has been shown to have a substantial impact on the financial markets.

Event Detection General Classification

Evaluation of Automatic Hypernym Extraction from Technical Corpora in English and Dutch

no code implementations LREC 2014 Els Lefever, Marjan Van de Kauter, V{\'e}ronique Hoste

In this research, we evaluate different approaches for the automatic extraction of hypernym relations from English and Dutch technical text.

Morphological Analysis

Discovering Missing Wikipedia Inter-language Links by means of Cross-lingual Word Sense Disambiguation

no code implementations LREC 2012 Els Lefever, V{\'e}ronique Hoste, Martine De Cock

The input for the inter-language link detection system is a set of Dutch pages for a given ambiguous noun and the output of the system is a set of links to the corresponding pages in three target languages (viz.

Text Summarization Word Sense Disambiguation

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