Search Results for author: Akbar Karimi

Found 11 papers, 7 papers with code

CAISA@SMM4H’22: Robust Cross-Lingual Detection of Disease Mentions on Social Media with Adversarial Methods

no code implementations SMM4H (COLING) 2022 Akbar Karimi, Lucie Flek

Additionally, utilizing the English BioBERT model shows a strong performance and outperforms the data augmentation methods even when applied to the Spanish dataset, which has a large amount of data, while augmentation methods show a significant advantage in a low-data setting.

Data Augmentation

Improving Localization for Semi-Supervised Object Detection

1 code implementation21 Jun 2022 Leonardo Rossi, Akbar Karimi, Andrea Prati

Nowadays, Semi-Supervised Object Detection (SSOD) is a hot topic, since, while it is rather easy to collect images for creating a new dataset, labeling them is still an expensive and time-consuming task.

object-detection Object Detection +2

AEDA: An Easier Data Augmentation Technique for Text Classification

1 code implementation Findings (EMNLP) 2021 Akbar Karimi, Leonardo Rossi, Andrea Prati

This is an easier technique to implement for data augmentation than EDA method (Wei and Zou, 2019) with which we compare our results.

Data Augmentation text-classification +1

Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing

1 code implementation3 Apr 2021 Leonardo Rossi, Akbar Karimi, Andrea Prati

Within the field of instance segmentation, most of the state-of-the-art deep learning networks rely nowadays on cascade architectures, where multiple object detectors are trained sequentially, re-sampling the ground truth at each step.

Instance Segmentation Object Detection +1

UniParma at SemEval-2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model

1 code implementation SEMEVAL 2021 Akbar Karimi, Leonardo Rossi, Andrea Prati

We tackle this problem utilizing a combination of a state-of-the-art pre-trained language model (CharacterBERT) and a traditional bag-of-words technique.

Language Modelling Toxic Spans Detection

A novel Region of Interest Extraction Layer for Instance Segmentation

5 code implementations28 Apr 2020 Leonardo Rossi, Akbar Karimi, Andrea Prati

Given the wide diffusion of deep neural network architectures for computer vision tasks, several new applications are nowadays more and more feasible.

Instance Segmentation object-detection +2

Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval

no code implementations23 Feb 2020 Hadi Abdi Khojasteh, Ebrahim Ansari, Parvin Razzaghi, Akbar Karimi

This paper considers the task of matching images and sentences by learning a visual-textual embedding space for cross-modal retrieval.

Cross-Modal Retrieval Retrieval +1

Adversarial Training for Aspect-Based Sentiment Analysis with BERT

4 code implementations30 Jan 2020 Akbar Karimi, Leonardo Rossi, Andrea Prati

In this work, we apply adversarial training, which was put forward by Goodfellow et al. (2014), to the post-trained BERT (BERT-PT) language model proposed by Xu et al. (2019) on the two major tasks of Aspect Extraction and Aspect Sentiment Classification in sentiment analysis.

Aspect Extraction Language Modelling +1

Extracting an English-Persian Parallel Corpus from Comparable Corpora

no code implementations LREC 2018 Akbar Karimi, Ebrahim Ansari, Bahram Sadeghi Bigham

Two machine translation systems are employed to translate from Persian to English and the reverse after which an IR system is used to measure the similarity of the translated sentences.

Machine Translation Translation

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