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Found 12 papers, 2 papers with code
Combining Language Models and Linguistic Information to Label Entities in Memes
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
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
When the Student Becomes the Master: Learning Better and Smaller Monolingual Models from mBERT
In this research, we present pilot experiments to distil monolingual models from a jointly trained model for 102 languages (mBERT).
A Pilot Study for BERT Language Modelling and Morphological Analysis for Ancient and Medieval Greek
This paper presents a pilot study to automatic linguistic preprocessing of Ancient and Byzantine Greek, and morphological analysis more specifically.
Investigating the Quality of Static Anchor Embeddings from Transformers for Under-Resourced Languages
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.
LT3 at SemEval-2021 Task 6: Using Multi-Modal Compact Bilinear Pooling to Combine Visual and Textual Understanding in Memes
Internet memes have become ubiquitous in social media networks today.
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis
Internet memes have become a very popular mode of expression on social media networks today.
Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models
When performing Polarity Detection for different words in a sentence, we need to look at the words around to understand the sentiment.
Ranked #13 on
Aspect-Based Sentiment Analysis (ABSA)
on SemEval-2014 Task-4
(Restaurant (Acc) metric)
LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment Analysis of Hinglish Social Media Text
The second approach incorporates pre-trained English embeddings that are incrementally retrained with a set of Hinglish tweets.
Sentiment Analysis for Hinglish Code-mixed Tweets by means of Cross-lingual Word Embeddings
We specifically investigate the use of these embeddings for a sentiment analysis task for Hinglish Tweets, viz.
Identifying Cognates in English-Dutch and French-Dutch by means of Orthographic Information and Cross-lingual Word Embeddings
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.
Multidomain Document Layout Understanding using Few Shot Object Detection
We try to address the problem of document layout understanding using a simple algorithm which generalizes across multiple domains while training on just few examples per domain.
