activity
20182022
most citedEvaluating Fairness in Argument Retrieval

15 citations · 19 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CL20224 cited

ITTC @ TREC 2021 Clinical Trials Track

Thinh Hung Truong, Yulia Otmakhova, Rahmad Mahendra +6

This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial Transformation Training Centre (ITTC) for Cogniti…

cs.IR202115 cited

Evaluating Fairness in Argument Retrieval

Sachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer +1

Existing commercial search engines often struggle to represent different perspectives of a search query. Argument retrieval systems address this limitation of search engines and pr…

cs.IR2019

Towards a Model for Spoken Conversational Search

Johanne R. Trippas, Damiano Spina, Paul Thomas +3

Conversation is the natural mode for information exchange in daily life, a spoken conversational interaction for search input and output is a logical format for information seeking…

cs.IR2018

A Formal Account of Effectiveness Evaluation and Ranking Fusion

Enrique Amigó, Fernando Giner, Stefano Mizzaro +1

This paper proposes a theoretical framework which models the information provided by retrieval systems in terms of Information Theory. The proposed framework allows to formalize: (…

cs.CL2018

Prosody Modifications for Question-Answering in Voice-Only Settings

Aleksandr Chuklin, Aliaksei Severyn, Johanne Trippas +3

Many popular form factors of digital assistants---such as Amazon Echo, Apple Homepod, or Google Home---enable the user to hold a conversation with these systems based only on the s…

cs.IR2018

An Axiomatic Analysis of Diversity Evaluation Metrics: Introducing the Rank-Biased Utility Metric

Enrique Amigó, Damiano Spina, Jorge Carrillo-de-Albornoz

Many evaluation metrics have been defined to evaluate the effectiveness ad-hoc retrieval and search result diversification systems. However, it is often unclear which evaluation me…