1 code implementation • 5 Jun 2023 • Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiaojun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
Medical progress notes play a crucial role in documenting a patient's hospital journey, including his or her condition, treatment plan, and any updates for healthcare providers.
1 code implementation • 7 Dec 2020 • Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Advances in NLP have yielded impressive results for the task of machine reading comprehension (MRC), with approaches having been reported to achieve performance comparable to that of humans.
1 code implementation • EACL 2021 • Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
We define seven MRC skills which require the understanding of different discourse relations.
Machine Reading Comprehension Natural Language Understanding
1 code implementation • 26 Oct 2023 • Sarah Alsayyahi, Riza Batista-Navarro
Temporal relation extraction models have thus far been hindered by a number of issues in existing temporal relation-annotated news datasets, including: (1) low inter-annotator agreement due to the lack of specificity of their annotation guidelines in terms of what counts as a temporal relation; (2) the exclusion of long-distance relations within a given document (those spanning across different paragraphs); and (3) the exclusion of events that are not centred on verbs.
1 code implementation • LREC 2020 • Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
Machine Reading Comprehension (MRC) is the task of answering a question over a paragraph of text.
no code implementations • 9 Jul 2019 • Gavin Abercrombie, Riza Batista-Navarro
In this article we present the results of a systematic literature review of 61 studies, all of which address the automatic analysis of the sentiment and opinions expressed and positions taken by speakers in parliamentary (and other legislative) debates.
no code implementations • WS 2019 • Gavin Abercrombie, Riza Batista-Navarro
We investigate changes in the meanings of words used in the UK Parliament across two different epochs.
no code implementations • CONLL 2019 • Gavin Abercrombie, Federico Nanni, Riza Batista-Navarro, Simone Paolo Ponzetto
Debate motions (proposals) tabled in the UK Parliament contain information about the stated policy preferences of the Members of Parliament who propose them, and are key to the analysis of all subsequent speeches given in response to them.
no code implementations • WS 2019 • Waad Alhoshan, Riza Batista-Navarro, Liping Zhao
One of the more recent advances in NLP is the use of word embeddings for capturing contextual information, which can then be applied in word analogy tasks.
no code implementations • LREC 2020 • Gavin Abercrombie, Riza Batista-Navarro
These include a linear classifier as well as a neural network trained using a transformer word embedding model (BERT), and fine-tuned on the parliamentary speeches.
no code implementations • 29 May 2020 • Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Recent years have seen a growing number of publications that analyse Natural Language Inference (NLI) datasets for superficial cues, whether they undermine the complexity of the tasks underlying those datasets and how they impact those models that are optimised and evaluated on this data.
no code implementations • LREC 2022 • Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
Each news article was annotated for two aspects: (1) indicators of forced labour as classification labels and (2) snippets of the text that justify labelling decisions.
Multi Label Text Classification Multi-Label Text Classification +1
no code implementations • LREC 2022 • Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou
Argumentative zoning, a specific text zoning scheme for the scientific domain, is considered as the antecedent for argument mining by many researchers.
no code implementations • 10 Nov 2022 • Viktor Schlegel, Erick Mendez-Guzman, Riza Batista-Navarro
Progress on many Natural Language Processing (NLP) tasks, such as text classification, is driven by objective, reproducible and scalable evaluation via publicly available benchmarks.
no code implementations • 6 Apr 2023 • Muhammad Arshad Khan, Max Kenney, Jack Painter, Disha Kamale, Riza Batista-Navarro, Amir Ghalamzan-E
In this paper, we present a grammar-based natural language framework for robot programming, specifically for pick-and-place tasks.
no code implementations • 25 May 2023 • Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
Furthermore, evaluating key points is crucial in ensuring that the automatically generated summaries are useful.
1 code implementation • 25 Sep 2023 • Filippos Ventirozos, Sarah Clinch, Riza Batista-Navarro
Semantic parsing of user-generated instructional text, in the way of enabling end-users to program the Internet of Things (IoT), is an underexplored area.
1 code implementation • 31 Oct 2023 • Haifa Alrdahi, Riza Batista-Navarro
This paper examines chess textbooks as a new knowledge source for enabling machines to learn how to play chess -- a resource that has not been explored previously.
1 code implementation • 17 Mar 2024 • Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic
We present the models we fine-tuned using the limited amount of real data and the synthetic data we generated using back-translation including OpusMT, NLLB, and mBART.