66 citations · 99 across the 9 of their papers we have counts for
13 papers
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
Eric Chamoun, Marzieh Saeidi, Andreas Vlachos
Prior research has shown that typical fact-checking models for stand-alone claims struggle with claims made in dialogues. As a solution, fine-tuning these models on labelled dialog…
TimelineQA: A Benchmark for Question Answering over Timelines
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li +4
Lifelogs are descriptions of experiences that a person had during their life. Lifelogs are created by fusing data from the multitude of digital services, such as online photos, map…
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question
Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani +4
Existing metrics for evaluating the quality of automatically generated questions such as BLEU, ROUGE, BERTScore, and BLEURT compare the reference and predicted questions, providing…
Policy Compliance Detection via Expression Tree Inference
Neema Kotonya, Andreas Vlachos, Majid Yazdani +2
Policy Compliance Detection (PCD) is a task we encounter when reasoning over texts, e.g. legal frameworks. Previous work to address PCD relies heavily on modeling the task as a spe…
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson +4
Current methods for few-shot fine-tuning of pretrained masked language models (PLMs) require carefully engineered prompts and verbalizers for each new task to convert examples into…
Cross-Policy Compliance Detection via Question Answering
Marzieh Saeidi, Majid Yazdani, Andreas Vlachos
Policy compliance detection is the task of ensuring that a scenario conforms to a policy (e.g. a claim is valid according to government rules or a post in an online platform confor…
Database Reasoning Over Text
James Thorne, Majid Yazdani, Marzieh Saeidi +3
Neural models have shown impressive performance gains in answering queries from natural language text. However, existing works are unable to support database queries, such as "List…
Generating Fact Checking Briefs
Angela Fan, Aleksandra Piktus, Fabio Petroni +5
Fact checking at scale is difficult -- while the number of active fact checking websites is growing, it remains too small for the needs of the contemporary media ecosystem. However…
Neural Databases
James Thorne, Majid Yazdani, Marzieh Saeidi +3
In recent years, neural networks have shown impressive performance gains on long-standing AI problems, and in particular, answering queries from natural language text. These advanc…
Preserving Integrity in Online Social Networks
Alon Halevy, Cristian Canton Ferrer, Hao Ma +5
Online social networks provide a platform for sharing information and free expression. However, these networks are also used for malicious purposes, such as distributing misinforma…
Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis +5
Most work in machine reading focuses on question answering problems where the answer is directly expressed in the text to read. However, many real-world question answering problems…
Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods
Marzieh Saeidi, Alessandro Venerandi, Licia Capra +1
In this paper, we investigate whether text from a Community Question Answering (QA) platform can be used to predict and describe real-world attributes. We experiment with predictin…
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods
Marzieh Saeidi, Guillaume Bouchard, Maria Liakata +1
In this paper, we introduce the task of targeted aspect-based sentiment analysis. The goal is to extract fine-grained information with respect to entities mentioned in user comment…