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Robert West

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Publications associées (64)

Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report)

Robert West, Kristina Gligoric

What makes written text appealing? In this registered report, we study the linguistic characteristics of news headline success using a large-scale dataset of field experiments (A/B tests) conducted on the popular website comparing multiple headline variant ...

PUBLIC LIBRARY SCIENCE2023

REFINER: Reasoning Feedback on Intermediate Representations

Boi Faltings, Maxime Jean Julien Peyrard, Robert West, Beatriz Maria Borges Ribeiro, Antoine Bosselut, Mahammad Ismayilzada, Debjit Paul

Language models (LMs) have recently shown remarkable performance on reasoning tasks by explicitly generating intermediate inferences, e.g., chain-of-thought prompting. However, these intermediate inference steps may be in- appropriate deductions from the i ...

2023

United States politicians' tone became more negative with 2016 primary campaigns

Robert West, Ahmad Abu-Akel, Andreas Oliver Spitz

There is a widespread belief that the tone of political debate in the US has become more negative recently, in particular when Donald Trump entered politics. At the same time, there is disagreement as to whether Trump changed or merely continued previous t ...

Nature Portfolio2023

Deplatforming did not decrease Parler users' activity on fringe social media

Robert West, Manoel Horta Ribeiro

Online platforms have banned ("deplatformed") influencers, communities, and even entire websites to reduce content deemed harmful. Deplatformed users often migrate to alternative platforms, which raises concerns about the effectiveness of deplatforming. He ...

OXFORD UNIV PRESS2023

A Critical Re-evaluation of Neural Methods for Entity Alignment

Robert West, Akhil Arora, Manuel Leone, Alberto Garcia Duran, Stefano Huber

Neural methods have become the de-facto choice for the vast majority of data analysis tasks, and entity alignment (EA) is no exception. Not surprisingly, more than 50 different neural EA methods have been published since 2017. However, surprisingly, an ana ...

ASSOC COMPUTING MACHINERY2022

Efficient Entity Candidate Generation for Low-Resource Languages

Robert West, Akhil Arora, Alberto Garcia Duran

Candidate generation is a crucial module in entity linking. It also plays a key role in multiple NLP tasks that have been proven to beneficially leverage knowledge bases. Nevertheless, it has often been overlooked in the monolingual English entity linking ...

EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA2022

Wikipedia Reader Navigation: When Synthetic Data Is Enough

Tiziano Piccardi, Robert West, Akhil Arora, Alberto Garcia Duran

Every day millions of people read Wikipedia. When navigating the vast space of available topics using hyperlinks, readers describe trajectories on the article network. Understanding these navigation patterns is crucial to better serve readers' needs and ad ...

ASSOC COMPUTING MACHINERY2022

Quote Erat Demonstrandum: AWeb Interface for Exploring the Quotebank Corpus

Robert West, Akhil Arora, Huan-Cheng Chang, Andreas Oliver Spitz, Vuk Vukovic

The use of attributed quotes is the most direct and least filtered pathway of information propagation in news. Consequently, quotes play a central role in the conception, reception, and analysis of news stories. Since quotes provide a more direct window in ...

ASSOC COMPUTING MACHINERY2022

GenIE: Generative Information Extraction

Maxime Jean Julien Peyrard, Robert West, Martin Josifoski

Structured and grounded representation of text is typically formalized by closed information extraction, the problem of extracting an exhaustive set of (subject, relation, object) triplets that are consistent with a predefined set of entities and relations ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

Strong Heuristics for Named Entity Linking

Robert West, Akhil Arora, Andreas Oliver Spitz, Marko Culjak

Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods. However, such methods tend to come with caveats, such as no integration of ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2022

Population-scale dietary interests during the COVID-19 pandemic

Robert West, Kristina Gligoric

The SARS-CoV-2 virus has altered people's lives around the world. Here we document population-wide shifts in dietary interests in 18 countries in 2020, as revealed through time series of Google search volumes. We find that during the first wave of the COVI ...

Nature Portfolio2022

Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?

Maxime Jean Julien Peyrard, Robert West, Kristina Gligoric, Beatriz Maria Borges Ribeiro

The automatic detection of humor poses a grand challenge for natural language processing. Transformer-based systems have recently achieved remarkable results on this task, but they usually (1) were evaluated in setups where serious vs humorous texts came f ...

International Joint Conferences on Artificial Intelligence Organization2021

Quotebank: A Corpus of Quotations from a Decade of News

Robert West, Andreas Oliver Spitz

We present Quotebank, an open corpus of 178 million quotations attributed to the speakers who uttered them, extracted from 162 million English news articles published between 2008 and 2020. In order to produce this Web-scale corpus, while at the same time ...

ASSOC COMPUTING MACHINERY2021

Keeping Up with the Trends: Analyzing the Dynamics of Online Learning and Hiring Platforms in the Software Programming Domain

Pierre Dillenbourg, Robert West, Ramtin Yazdanian

The Fourth Industrial Revolution has considerably sped up the pace of skill changes in many professional domains, with scores of new skills emerging and many old skills moving towards obsolescence. For these domains, identifying the new necessary skills in ...

2021

Better than Average: Paired Evaluation of NLP Systems

Maxime Jean Julien Peyrard, Robert West

Evaluation in NLP is usually done by comparing the scores of competing systems independently averaged over a common set of test instances. In this work, we question the use of averages for aggregating evaluation scores into a final number used to decide wh ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report Protocol)

Robert West, Kristina Gligoric

What makes written text appealing? In this registered report protocol, we propose to study the linguistic characteristics of news headline success using a large-scale dataset of field experiments (A/B tests) conducted on the popular website Upworthy compar ...

2021

Who Is Listening? Spokesperson Effect on Communicating Social and Physical Distancing Measures During the COVID-19 Pandemic

Robert West, Ahmad Abu-Akel, Andreas Oliver Spitz

Effective communication during a pandemic, such as the current COVID-19 crisis, can save lives. At the present time, social and physical distancing measures are the lead strategy in combating the spread of COVID-19. In this study, a survey was administered ...

Frontiers Media2021

Classifying Dyads for Militarized Conflict Analysis

Robert West

Understanding the origins of militarized conflict is a complex, yet important undertaking. Existing research seeks to build this understanding by considering bi-lateral relationships between entity pairs (dyadic causes) and multi-lateral relationships amon ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Wikipedia citations: A comprehensive data set of citations with identifiers extracted from English Wikipedia

Robert West

Wikipedia's content is based on reliable and published sources. To this date, relatively little is known about what sources Wikipedia relies on, in part because extracting citations and identifying cited sources is challenging. To close this gap, we releas ...

MIT PRESS2021

Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions

Robert West, Manoel Horta Ribeiro

Wikipedia, the largest encyclopedia ever created, is a global initiative driven by volunteer contributions. When the COVID-19 pandemic broke out and mobility restrictions ensued across the globe, it was unclear whether contributions to Wikipedia would decr ...

Nature Portfolio2021

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