activity
20202022
most citedBi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

18 citations · 27 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL20223 cited

Transformer-based Model for Word Level Language Identification in Code-mixed Kannada-English Texts

Atnafu Lambebo Tonja, Mesay Gemeda Yigezu, Olga Kolesnikova +3

Using code-mixed data in natural language processing (NLP) research currently gets a lot of attention. Language identification of social media code-mixed text has been an interesti…

cs.CL20224 cited

PolyHope: Two-Level Hope Speech Detection from Tweets

Fazlourrahman Balouchzahi, Grigori Sidorov, Alexander Gelbukh

Hope is characterized as openness of spirit toward the future, a desire, expectation, and wish for something to happen or to be true that remarkably affects human's state of mind,…

cs.CL2022

The Effect of Normalization for Bi-directional Amharic-English Neural Machine Translation

Tadesse Destaw Belay, Atnafu Lambebo Tonja, Olga Kolesnikova +5

Machine translation (MT) is one of the main tasks in natural language processing whose objective is to translate texts automatically from one natural language to another. Nowadays,…

cs.CL20221 cited

Mapping Process for the Task: Wikidata Statements to Text as Wikipedia Sentences

Hoang Thang Ta, Alexander Gelbukha, Grigori Sidorov

Acknowledged as one of the most successful online cooperative projects in human society, Wikipedia has obtained rapid growth in recent years and desires continuously to expand cont…

cs.AI202118 cited

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

Wei Han, Hui Chen, Alexander Gelbukh +3

Multimodal sentiment analysis aims to extract and integrate semantic information collected from multiple modalities to recognize the expressed emotions and sentiment in multimodal…

cs.CL20211 cited

Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication

Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika +3

The majority of existing methods for empathetic response generation rely on the emotion of the context to generate empathetic responses. However, empathy is much more than generati…