18 citations · 24 across the 10 of their papers we have counts for
10 papers
Exposing Weaknesses in Emotion Recognition in Conversations
Amir Ben Khalifa, Fanny Bezancon, Bessam Abdulrazak +1
Emotion Recognition in Conversations (ERC) aims to identify speakers' emotions in multi-turn dialogue. Accurate emotion recognition can support a wide range of applications, includ…
Enhancing Argument Summarization: Prioritizing Exhaustiveness in Key Point Generation and Introducing an Automatic Coverage Evaluation Metric
Mohammad Khosravani, Chenyang Huang, Amine Trabelsi
The proliferation of social media platforms has given rise to the amount of online debates and arguments. Consequently, the need for automatic summarization methods for such debate…
Recent Trends in Unsupervised Summarization
Mohammad Khosravani, Amine Trabelsi
Unsupervised summarization is a powerful technique that enables training summarizing models without requiring labeled datasets. This survey covers different recent techniques and m…
Named Entity Recognition for Partially Annotated Datasets
Michael Strobl, Amine Trabelsi, Osmar Zaiane
The most common Named Entity Recognizers are usually sequence taggers trained on fully annotated corpora, i.e. the class of all words for all entities is known. Partially annotated…
FREDA: Flexible Relation Extraction Data Annotation
Michael Strobl, Amine Trabelsi, Osmar Zaiane
To effectively train accurate Relation Extraction models, sufficient and properly labeled data is required. Adequately labeled data is difficult to obtain and annotating such data…
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)
Anandh Perumal, Chenyang Huang, Amine Trabelsi +1
In this paper, we describe our mUlti-task learNIng for cOmmonsense reasoNing (UNION) system submitted for Task C of the SemEval2020 Task 4, which is to generate a reason explaining…