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Found 8 papers, 3 papers with code
Just Ask! Evaluating Machine Translation by Asking and Answering Questions
In this paper, we show that automatically-generated questions and answers can be used to evaluate the quality of Machine Translation (MT) systems.
MTEQA at WMT21 Metrics Shared Task
In this paper, we describe our submission to the WMT 2021 Metrics Shared Task.
Two-phase training mitigates class imbalance for camera trap image classification with CNNs
As a result, they obtain good performance for a few majority classes but poor performance for many minority classes.
LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features
We describe our approach for SemEval-2021 task 6 on detection of persuasion techniques in multimodal content (memes).
LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification
We adapt and fine-tune the BERT and Multilingual Bert models made available by Google AI for English and non-English languages respectively.
LICD: A Language-Independent Approach for Aspect Category Detection
For a given sentence, our proposed method performs ACD based on two hypotheses: First, a category should be assigned to a sentence if there is a high semantic similarity between the sentence and a set of representative words of that category.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+6
Aspect Category Detection via Topic-Attention Network
In this paper, we propose a deep neural network method based on attention mechanism to identify different aspect categories of a given review sentence.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure
Besides, most of these supervised methods require feature engineering to perform well.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+3
