Evangelos Kanoulas

research

∙ 09/09/2023

Data Augmentation for Conversational AI

Advancements in conversational systems have revolutionized information a...

0 Heydar Soudani, et al. ∙

research

∙ 06/23/2023

Stress Testing BERT Anaphora Resolution Models for Reaction Extraction in Chemical Patents

The high volume of published chemical patents and the importance of a ti...

0 Chieling Yueh, et al. ∙

research

∙ 05/22/2023

MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering

Recent advances in tabular question answering (QA) with large language m...

0 Vaishali Pal, et al. ∙

research

∙ 05/03/2023

Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts

We investigate the usefulness of generative Large Language Models (LLMs)...

0 Arian Askari, et al. ∙

research

∙ 04/13/2023

Perspectives on Large Language Models for Relevance Judgment

When asked, current large language models (LLMs) like ChatGPT claim that...

0 Guglielmo Faggioli, et al. ∙

research

∙ 02/14/2023

Market-Aware Models for Efficient Cross-Market Recommendation

We consider the cross-market recommendation (CMR) task, which involves r...

0 Samarth Bhargav, et al. ∙

research

∙ 01/13/2023

Natural Language Processing of Aviation Occurrence Reports for Safety Management

Occurrence reporting is a commonly used method in safety management syst...

0 Patrick Jonk, et al. ∙

research

∙ 10/12/2022

Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation

Entity disambiguation (ED) is the task of mapping an ambiguous entity me...

4 Vera Provatorova, et al. ∙

research

∙ 09/26/2022

On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering

Interacting with a speech interface to query a Question Answering (QA) s...

0 Georgios Sidiropoulos, et al. ∙

research

∙ 05/04/2022

Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings

Dense retrieval is becoming one of the standard approaches for document ...

0 Georgios Sidiropoulos, et al. ∙

research

∙ 04/22/2022

Zero-shot Query Contextualization for Conversational Search

Current conversational passage retrieval systems cast conversational sea...

0 Antonios Minas Krasakis, et al. ∙

research

∙ 04/07/2022

Parameter-Efficient Abstractive Question Answering over Tables or Text

A long-term ambition of information seeking QA systems is to reason over...

1 Vaishali Pal, et al. ∙

research

∙ 01/21/2022

Towards Building Economic Models of Conversational Search

Various conceptual and descriptive models of conversational search have ...

0 Leif Azzopardi, et al. ∙

research

∙ 12/14/2021

Scaling Up Query-Focused Summarization to Meet Open-Domain Question Answering

Query-focused summarization (QFS) requires generating a textual summary ...

0 Weijia Zhang, et al. ∙

research

∙ 10/11/2021

Controllable Recommenders using Deep Generative Models and Disentanglement

In this paper, we consider controllability as a means to satisfy dynamic...

0 Samarth Bhargav, et al. ∙

research

∙ 09/23/2021

Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems

In this work we propose a new task: artistic visualization of classical ...

3 Dan Li, et al. ∙

research

∙ 09/13/2021

Analysing Mixed Initiatives and Search Strategies during Conversational Search

Information seeking conversations between users and Conversational Searc...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 09/13/2021

Cross-Market Product Recommendation

We study the problem of recommending relevant products to users in relat...

5 Hamed Bonab, et al. ∙

research

∙ 08/24/2021

Robustness Evaluation of Entity Disambiguation Using Prior Probes:the Case of Entity Overshadowing

Entity disambiguation (ED) is the last step of entity linking (EL), when...

10 Vera Provatorova, et al. ∙

research

∙ 08/23/2021

Legal Search in Case Law and Statute Law

In this work we describe a method to identify document pairwise relevanc...

0 Julien Rossi, et al. ∙

research

∙ 08/23/2021

VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law

Citing legal opinions is a key part of legal argumentation, an expert ta...

0 Julien Rossi, et al. ∙

research

∙ 06/29/2021

Few-Shot Electronic Health Record Coding through Graph Contrastive Learning

Electronic health record (EHR) coding is the task of assigning ICD codes...

24 Shanshan Wang, et al. ∙

research

∙ 06/15/2021

Analysing Dense Passage Retrieval for Multi-hop Question Answering

We analyse the performance of passage retrieval models in the presence o...

0 Georgios Sidiropoulos, et al. ∙

research

∙ 04/14/2021

A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search

Conversational search is a relatively young area of research that aims a...

0 Svitlana Vakulenko, et al. ∙

research

∙ 03/15/2021

Category Aware Explainable Conversational Recommendation

Most conversational recommendation approaches are either not explainable...

0 Nikolaos Kondylidis, et al. ∙

research

∙ 03/10/2021

Ranking Clarifying Questions Based on Predicted User Engagement

To improve online search results, clarification questions can be used to...

0 Tom Lotze, et al. ∙

research

∙ 10/20/2020

A Benchmark for Lease Contract Review

Extracting entities and other useful information from legal contracts is...

0 Spyretta Leivaditi, et al. ∙

research

∙ 08/09/2020

Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search

Recent research on conversational search highlights the importance of mi...

8 Antonios Minas Krasakis, et al. ∙

research

∙ 08/01/2020

An Empirical Study of Clarifying Question-Based Systems

Search and recommender systems that take the initiative to ask clarifyin...

0 Jie Zou, et al. ∙

research

∙ 05/25/2020

An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues

The ability to engage in mixed-initiative interaction is one of the core...

0 Svitlana Vakulenko, et al. ∙

research

∙ 05/25/2020

Knowledge Graph Simple Question Answering for Unseen Domains

Knowledge graph simple question answering (KGSQA), in its standard form,...

0 Georgios Sidiropoulos, et al. ∙

research

∙ 05/24/2020

Query Resolution for Conversational Search with Limited Supervision

In this work we focus on multi-turn passage retrieval as a crucial compo...

0 Nikos Voskarides, et al. ∙

research

∙ 04/29/2020

Conversations with Search Engines

In this paper, we address the problem of answering complex information n...

13 Pengjie Ren, et al. ∙

research

∙ 08/30/2019

Learning to Ask: Question-based Sequential Bayesian Product Search

Product search is generally recognized as the first and foremost stage o...

0 Jie Zou, et al. ∙

research

∙ 07/05/2019

Global Aggregations of Local Explanations for Black Box models

The decision-making process of many state-of-the-art machine learning mo...

0 Ilse van der Linden, et al. ∙

research

∙ 06/18/2019

Query Generation for Patent Retrieval with Keyword Extraction based on Syntactic Features

This paper describes a new method to extract relevant keywords from pate...

0 Julien Rossi, et al. ∙

research

∙ 12/02/2018

Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions

Detecting controversy in general web pages is a daunting task, but incre...

0 Jasper Linmans, et al. ∙

research

∙ 10/12/2018

Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers

The goal of a technology-assisted review is to achieve high recall with ...

0 Jie Zou, et al. ∙

research

∙ 01/31/2018

ILPS at TREC 2017 Common Core Track

The TREC 2017 Common Core Track aimed at gathering a diverse set of part...

0 Christophe Van Gysel, et al. ∙

research

∙ 12/04/2017

Examining Cooperation in Visual Dialog Models

In this work we propose a blackbox intervention method for visual dialog...

0 Mircea Mironenco, et al. ∙

research

∙ 09/06/2017

Active Sampling for Large-scale Information Retrieval Evaluation

Evaluation is crucial in Information Retrieval. The development of model...

0 Dan Li, et al. ∙

research

∙ 08/09/2017

Neural Vector Spaces for Unsupervised Information Retrieval

We propose the Neural Vector Space Model (NVSM), a method that learns re...

0 Christophe Van Gysel, et al. ∙

research

∙ 07/25/2017

Structural Regularities in Text-based Entity Vector Spaces

Entity retrieval is the task of finding entities such as people or produ...

0 Christophe Van Gysel, et al. ∙

research

∙ 06/12/2017

Semantic Entity Retrieval Toolkit

Unsupervised learning of low-dimensional, semantic representations of wo...

0 Christophe Van Gysel, et al. ∙

research

∙ 01/03/2017

Pyndri: a Python Interface to the Indri Search Engine

We introduce pyndri, a Python interface to the Indri search engine. Pynd...

0 Christophe Van Gysel, et al. ∙

research

∙ 08/25/2016

Learning Latent Vector Spaces for Product Search

We introduce a novel latent vector space model that jointly learns the l...

0 Christophe Van Gysel, et al. ∙

research

∙ 08/23/2016

Lexical Query Modeling in Session Search

Lexical query modeling has been the leading paradigm for session search....

0 Christophe Van Gysel, et al. ∙

Evangelos Kanoulas

Featured Co-authors