Advancements in conversational systems have revolutionized information
a...
The high volume of published chemical patents and the importance of a ti...
Recent advances in tabular question answering (QA) with large language m...
We investigate the usefulness of generative Large Language Models (LLMs)...
When asked, current large language models (LLMs) like ChatGPT claim that...
We consider the cross-market recommendation (CMR) task, which involves
r...
Occurrence reporting is a commonly used method in safety management syst...
Entity disambiguation (ED) is the task of mapping an ambiguous entity me...
Interacting with a speech interface to query a Question Answering (QA) s...
Dense retrieval is becoming one of the standard approaches for document ...
Current conversational passage retrieval systems cast conversational sea...
A long-term ambition of information seeking QA systems is to reason over...
Various conceptual and descriptive models of conversational search have ...
Query-focused summarization (QFS) requires generating a textual summary ...
In this paper, we consider controllability as a means to satisfy dynamic...
In this work we propose a new task: artistic visualization of classical
...
Information seeking conversations between users and Conversational Searc...
We study the problem of recommending relevant products to users in relat...
Entity disambiguation (ED) is the last step of entity linking (EL), when...
In this work we describe a method to identify document pairwise relevanc...
Citing legal opinions is a key part of legal argumentation, an expert ta...
Electronic health record (EHR) coding is the task of assigning ICD codes...
We analyse the performance of passage retrieval models in the presence o...
Conversational search is a relatively young area of research that aims a...
Most conversational recommendation approaches are either not explainable...
To improve online search results, clarification questions can be used to...
Extracting entities and other useful information from legal contracts is...
Recent research on conversational search highlights the importance of
mi...
Search and recommender systems that take the initiative to ask clarifyin...
The ability to engage in mixed-initiative interaction is one of the core...
Knowledge graph simple question answering (KGSQA), in its standard form,...
In this work we focus on multi-turn passage retrieval as a crucial compo...
In this paper, we address the problem of answering complex information n...
Product search is generally recognized as the first and foremost stage o...
The decision-making process of many state-of-the-art machine learning mo...
This paper describes a new method to extract relevant keywords from pate...
Detecting controversy in general web pages is a daunting task, but
incre...
The goal of a technology-assisted review is to achieve high recall with ...
The TREC 2017 Common Core Track aimed at gathering a diverse set of
part...
In this work we propose a blackbox intervention method for visual dialog...
Evaluation is crucial in Information Retrieval. The development of model...
We propose the Neural Vector Space Model (NVSM), a method that learns
re...
Entity retrieval is the task of finding entities such as people or produ...
Unsupervised learning of low-dimensional, semantic representations of wo...
We introduce pyndri, a Python interface to the Indri search engine. Pynd...
We introduce a novel latent vector space model that jointly learns the l...
Lexical query modeling has been the leading paradigm for session search....