3rd Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems:
Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems.


28 March 2024, Glasgow, Scotland

To be held as part of the 46th European Conference on Information Retrieval (ECIR 2024) 24-28 March 2024 | Glasgow, Scotland, UK


Augmented Intelligence (AL) is “a subsection of AI machine learning developed to enhance human intelligence rather than operate independently of or outright replace it. It is designed to do so by improving human decision-making and, by extension, actions taken in response to improved decisions.” In this sense, users are supported, not replaced, in the decision-making process by the filtering capabilities of the Augmented Intelligence solutions, but the final decision will always be taken by the users who are still accountable for their actions.
In this field, Technology-Assisted Review Systems (TARS) use a kind of human-in-the-loop approach where classification and/or ranking algorithms are continuously trained according to the relevance feedback from expert reviewers, until a substantial number of the relevant documents are identified. This approach has been shown to be more effective and more efficient than traditional e-discovery and systematic review practices, which typically consists of a mix of keyword search and manual review of the search results.
Given these premises, ALTARS will focus on High-recall Information Retrieval (IR) systems which tackle challenging tasks that require the finding of (nearly) all the relevant documents in a collection. Electronic discovery (eDiscovery) and systematic review systems are probably the most important examples of such systems where the search for relevant information with limited resources, such as time and money, is necessary.


In this workshop, we aim to fathom the effectiveness of these systems which is a research challenge itself. In fact, despite the number of evaluation measures at our disposal to assess the effectiveness of a "traditional" retrieval approach, there are additional dimensions of evaluation for TAR systems.
For example, it is true that an effective high-recall system should be able to find the majority of relevant documents using the least number of assessments. However, this type of evaluation discards the resources used to achieve this goal, such as the total time spent on those assessments, or the amount of money spent for the experts judging the documents.
The topics include, but are not restricted to:

  • Novel evaluation approaches and measures for Systematic reviews;
  • Reproducibility of experiments with test collections;
  • Design and evaluation of interactive high-recall retrieval systems;
  • Study of evaluation measures;
  • User studies in high-recall retrieval systems;
  • Novel evaluation protocols for continuous Active Learning;
  • Evaluation of sampling bias.


Research papers, describing original ideas on the listed topics and on other fundamental aspects of Technology-Assisted Reviews methodologies and technologies, are solicited. Moreover, short papers on early research results, new results on previously published works, and extended abstract on previously published works are also welcome.

  • Research papers presenting original works should be in the 9 - 10 pages range,
  • short papers should be in the 6 - 7 pages range
  • posters should be 3 - 4 pages long
  • extended abstracts should be 2 pages long
For all the submission types the references are included in the page limit. Papers must be in the CEUR-ART single column style.


The accepted papers will be published in the ALTARS 2024 Proceedings. The Proceedings will be published by CEUR-WS, which is gold open access and indexed by SCOPUS and DBLP.


Authors must submit their papers via Easychair:

Important Dates

Submission Deadline):

(extended) February 5 2024

Acceptance Notification:

February 23 2024


28 March 2024


Workshop Chairs

Giorgio Maria Di Nunzio, University of Padua (Italy)
Evangelos Kanoulas, University of Amsterdam (The Netherlands)
Prasenjit Majumder, DAIICT, Gandhinagar and TCG CREST, Kolkata (India)

Program Committee

Angela Condello , University of Messina (Italy)
Faezeh Ensan , Toronto Metropolitan University (Canada)
Parth Mehta , Parmonic (USA)
Harrisen Scells , Lepizig University (Germany)
Fabrizio Sebastiani , CNR-ISTI (Italy)
Ricky Sethi , Fitchburg State University (USA)
Rene Spijker , Cochrane (The Netherlands)
Mark Stevenson , University of Sheffield (UK)
Wojciech Kusa , TU Wien (Austria)
Jyothi Vinjumar , Walmart (USA)
Eugene Yang , Johns Hopkins University (USA)


Local (GMT) Times

Breakfast Coffee

Setup Video/Audio


Invited talk

Title: A knowledge modeling approach for AI applications based on legal reasoning in the semantic Web

Enrico Francesconi

Research Director IGSG - CNR Institute of Legal Informatics and Judicial Systems National Research Council of Italy


Transforming the Law as machine readable code represents a precondition for developing advanced information services in the legal domain endowed with reasoning facilities. In this talk we present an approach for legal knowledge representation and reasoning in the Semantic Web. It is based on the distinction between provisions and norms and it is able to provide reasoning facilities (like Hohfeldian reasoning) for advanced legal information retrieval, as well as legal compliance checking for deontic norms. It is also shown how the approach can handle norm defeasibility. Such methodology is implemented with decidable fragments of OWL 2, while legal reasoning is implemented through available decidable reasoners.

Coffee Break


An Interdisciplinary Approach to Legal Terminology: Challenges of the “Algorithmic Turn” in Legal Science

Angela Condello, Giorgio Maria Di Nunzio

Stopping Methods Based on Point Processes: Recent Developments

Mark Stevenson and Reem Bin-Hezam

Towards Explainable Total Recall in TAR for eDiscovery Using Retraining of the Underlying Neural Network Model

Charles Courchaine, Corey Wade, Tasnova Tabassum, Stetson Daisy and Ricky J. Sethi

Lunch Break


Factors Affecting the Performance of Reviewers in a Large-Scale Technology-Assisted Review Project

Maura Grossman, Gordon Cormack, Andrew Harbison, Tom O'Halloran and Bronagh McManus

Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study

Lena Schmidt, Kaitlyn Hair, Sergio Graziozi, Fiona Campbell, Claudia Kapp, Alireza Khanteymoori, Dawn Craig, Mark Engelbert and James Thomas

Leveraging Cochrane Systematic Literature Reviews for Prospective Evaluation of Large Language Models

Wojciech Kusa, Harrisen Scells, Moritz Staudinger and Allan Hanbury

Coffee Break

New Topics

Title: Extracting information from scientific articles to compile data on ecological impacts of biological invasions

Franck Courchamp

Senior Researcher - CNRS, France


Despite the importance of the ecological impacts of biological invasions, our understanding remains limited due to their diversity, which prevents any generalization. There are indeed at least 16 different types of ecological impacts, from local extinction to habitat degradation, and from trophic web modification to ecosystem service loss, and these are difficult to compare and impossible to compile. It is therefore crucial to develop better methods for assessing these impacts globally and understanding their underlying mechanisms. The aim of our project is to fill this critical gap by carrying out an integrated assessment of these impacts, which we will achieve by standardizing and quantifying all these impacts through a unified metrics. This will be obtained through the application of this metric to all known impact that have been published in the literature, to populate a database of quantified ecological impacts and their various descriptors. In order to achieve this, we need to obtain a dataset of all published studies on ecological impacts in the scientific literature, and to extract information related to these impacts from the pdf of these studies. As there is an estimated 25,000 such studies, we can only hope to achieve this through AI and AL.

Building a Network and a Research Project in TAR Systems

Open discussion and closing

Worskhop Venue

The 3rd ALTARS Wokrshop is colocated with ECIR 2024 and will be take place at the Radisson Blu Hotel, Glasgow