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Now showing items 21-28 of 28
A dataset for troll classification of Tamil memes
(European Language Resources Association (ELRA), 2020-05-11)
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among
people. This exchange is not free from offensive, trolling or malicious contents ...
Utilising knowledge graph embeddings for data-to-text generation
(Association for Computational Linguistics, 2020-12-18)
Data-to-text generation has recently seen a move away from modular and pipeline architectures towards end-to-end architectures based on neural networks. In this work, we employ knowledge graph embeddings and explore their ...
NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation
(Association for Computational Linguistics, 2020-12-18)
This paper describes the system submitted by NUIG-DSI to the WebNLG+ challenge 2020 in the RDF-to-text generation task for the English language. For this challenge, we leverage transfer learning by adopting the T5 model ...
Enhancing multiple-choice question answering with causal knowledge
(Association for Computational Linguistics, 2021-06-10)
The task of causal question answering aims to reason about causes and effects over a provided real or hypothetical premise. Recent approaches have converged on using transformer-based language models to solve question ...
NUIG-DSI’s submission to the GEM Benchmark 2021
(Association for Computational Linguistics, 2021-08-05)
This paper describes the submission by NUIG-DSI to the GEM benchmark 2021. We participate in the modeling shared task where we submit outputs on four datasets for data-to-text generation, namely, DART, WebNLG (en), E2E and ...
Intent classification by the use of automatically generated knowledge graphs
(MDPI, 2023-05-12)
Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers¿ goals. Although intent classification performs well in general settings, domain-specific user goals can ...
Towards bootstrapping a chatbot on industrial heritage through term and relation extraction
(Association for Computational Linguistics (ACL), 2022-11-20)
We describe initial work in developing a
methodology for the automatic generation of a
conversational agent or ‘chatbot’ through term
and relation extraction from a relevant corpus
of language data. We develop our ...
CURED4NLG: A dataset for table-to-text generation
(University of Galway, 2023)
We introduce CURED4NLG, a dataset for the task of table-to-text generation focusing on the public health domain. The dataset consists of 280 pairs of tables and documents extracted from weekly epidemiological reports ...