Question answering has been around for more than half a century. The problem was
addressed with different solutions in the eras of different technologies. Some proved more …

In typical machine learning systems, an estimate of the probability of the prediction is used to
assess the system's confidence in the prediction. This confidence measure is usually …

In conversational search, agents can interact with users by asking clarifying questions to
increase their chance of finding better results. Many recent works and shared tasks in both …

As NLP systems are increasingly deployed at scale, concerns about their potential negative
impacts have attracted the attention of the research community, yet discussions of risk have …

Beyond effectiveness, the robustness of an information retrieval (IR) system is increasingly
attracting attention. When deployed, a critical technology such as IR should not only deliver …

Promptly and accurately answering questions on products is important for e-commerce
applications. Manually answering product questions (eg on community question answering …

Recently, the structural reading comprehension (SRC) task on web pages has attracted
increasing research interests. Although previous SRC work has leveraged extra information …

The popularity of chatbots, such as ChatGPT, has brought research attention to question
answering systems, capable to generate natural language answers to user's natural …

Abstract Machine Reading Comprehension (MRC) has achieved impressive answer
inference performance in recent years but rarely considers the trustworthiness and reliability …

En el escenario empresarial actual, el entendimiento profundo de los empleados se
convierte en una herramienta estratégica para mejorar la eficiencia y la cohesión …