Search Results for author: Riza Batista-Navarro

Found 11 papers, 3 papers with code

RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour

no code implementations5 May 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

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading

1 code implementation7 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.

Machine Reading Comprehension

Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models

no code implementations29 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.

Natural Language Inference

ParlVote: A Corpus for Sentiment Analysis of Political Debates

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.

Sentiment Analysis

Policy Preference Detection in Parliamentary Debate Motions

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.

General Classification

Semantic Change in the Language of UK Parliamentary 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.

Word Embeddings

Sentiment and position-taking analysis of parliamentary debates: A systematic literature review

no code implementations9 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.

Semantic Frame Embeddings for Detecting Relations between Software Requirements

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.

Word Embeddings

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