Screening prioritisation in medical systematic reviews aims to rank the ...
Generative text-to-image models such as Stable Diffusion allow users to
...
When searching for products, the opinions of others play an important ro...
Noticing the urgent need to provide tools for fast and user-friendly
qua...
We integrate ir_datasets, ir_measures, and PyTerrier with TIRA in the
In...
Online discussion moderators must make ad-hoc decisions about whether th...
This paper evaluates the viability of using fixed language models for
tr...
When asked, current large language models (LLMs) like ChatGPT claim that...
The Archive Query Log (AQL) is a previously unused, comprehensive query ...
We present Spacerini, a modular framework for seamless building and
depl...
We propose to use captions from the Web as a previously underutilized
re...
Many computational argumentation tasks, like stance classification, are
...
Conditional generative models such as DALL-E and Stable Diffusion genera...
The rapidly growing volume of scientific publications offers an interest...
This paper presents Summary Workbench, a new tool for developing and
eva...
Most research on natural language processing treats bias as an absolute
...
Web archives have grown to petabytes. In addition to providing invaluabl...
We present the first dataset and evaluation results on a newly defined
c...
Pairwise re-ranking models predict which of two documents is more releva...
Neural retrieval models are often trained on (subsets of) the millions o...
We introduce and study the task of clickbait spoiling: generating a shor...
This technical report documents our efforts in addressing the tasks set ...
We present the Webis-STEREO-21 dataset, a massive collection of Scientif...
Web search and other large-scale web data analytics rely on processing
a...
Commercial web search engines employ near-duplicate detection to ensure ...
Masked language models have recently been interpreted as energy-based
se...
We introduce the problem of proficiency modeling: Given a user's posts o...
Key point analysis is the task of extracting a set of concise and high-l...
This paper introduces Summary Explorer, a new tool to support the manual...
We present small-text, a simple modular active learning library, which o...
Active learning is the iterative construction of a classification model
...
Web archive analytics is the exploitation of publicly accessible web pag...
The purpose of an argumentative text is to support a certain conclusion....
Text generation has received a lot of attention in computational
argumen...
The prerequisite of many approaches to authorship analysis is a
represen...
An abstractive snippet is an originally created piece of text to summari...
This paper discusses the potential for creating academic resources (tool...
Clickbait has grown to become a nuisance to social media users and socia...
We study text reuse related to Wikipedia at scale by compiling the first...
We study feature selection as a means to optimize the baseline clickbait...
The WSDM Cup 2017 was a data mining challenge held in conjunction with t...
We report on the Wikidata vandalism detection task at the WSDM Cup 2017....
This paper reports on a writing style analysis of hyperpartisan (i.e.,
e...