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20172025
most citedConfidence through Attention

20 citations · 30 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.CL2025

Image-Text Relation Prediction for Multilingual Tweets

Matīss Rikters, Edison Marrese-Taylor

Various social networks have been allowing media uploads for over a decade now. Still, it has not always been clear what is their relation with the posted text or even if there is…

cs.CL2024

Annotations for Exploring Food Tweets From Multiple Aspects

Matīss Rikters, Edison Marrese-Taylor, Rinalds Vīksna

This research builds upon the Latvian Twitter Eater Corpus (LTEC), which is focused on the narrow domain of tweets related to food, drinks, eating and drinking. LTEC has been colle…

cs.CL2024

Strategic Insights in Human and Large Language Model Tactics at Word Guessing Games

Matīss Rikters, Sanita Reinsone

At the beginning of 2022, a simplistic word-guessing game took the world by storm and was further adapted to many languages beyond the original English version. In this paper, we e…

cs.CL20223 cited

How Masterly Are People at Playing with Their Vocabulary? Analysis of the Wordle Game for Latvian

Matīss Rikters, Sanita Reinsone

In this paper, we describe adaptation of a simple word guessing game that occupied the hearts and minds of people around the world. There are versions for all three Baltic countrie…

cs.CL20211 cited

Fragmented and Valuable: Following Sentiment Changes in Food Tweets

Maija Kāle, Matīss Rikters

We analysed sentiment and frequencies related to smell, taste and temperature expressed by food tweets in the Latvian language. To get a better understanding of the role of smell,…

cs.CL20205 cited

Document-aligned Japanese-English Conversation Parallel Corpus

Matīss Rikters, Ryokan Ri, Tong Li +1

Sentence-level (SL) machine translation (MT) has reached acceptable quality for many high-resourced languages, but not document-level (DL) MT, which is difficult to 1) train with l…