Search Results for author: Gavin Abercrombie

Found 13 papers, 2 papers with code

ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Detection in Conversational AI

no code implementations EMNLP 2021 Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser

We find that the distribution of abuse is vastly different compared to other commonly used datasets, with more sexually tinted aggression towards the virtual persona of these systems.

Abusive Language Chatbot

ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI

1 code implementation20 Sep 2021 Amanda Cercas Curry, Gavin Abercrombie, Verena Rieser

We find that the distribution of abuse is vastly different compared to other commonly used datasets, with more sexually tinted aggression towards the virtual persona of these systems.

Abuse Detection Abusive Language +1

Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling

no code implementations7 Jul 2021 Emily Dinan, Gavin Abercrombie, A. Stevie Bergman, Shannon Spruit, Dirk Hovy, Y-Lan Boureau, Verena Rieser

Over the last several years, end-to-end neural conversational agents have vastly improved in their ability to carry a chit-chat conversation with humans.

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.

Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions

no code implementations WS 2018 Gavin Abercrombie, Riza Theresa Batista-Navarro

Analysis of the topics mentioned and opinions expressed in parliamentary debate motions{--}or proposals{--}is difficult for human readers, but necessary for understanding and automatic processing of the content of the subsequent speeches.

Sentiment Analysis Topic Classification

A Rule-based Shallow-transfer Machine Translation System for Scots and English

no code implementations LREC 2016 Gavin Abercrombie

By concentrating on translation for assimilation (gist comprehension) from Scots to English, it is proposed that the development of dictionaries designed to be used with in the Apertium platform will be sufficient to produce translations that improve non-Scots speakers understanding of the language.

Cloze Test Machine Translation +1

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