Finding Answers to Complex Questions

In this chapter, we motivate one potential type of future QA system that deals with questions more complex than simple factoid questions and which provides answers with their supporting context. Our approach is based on the issues we faced when developing and delivering a QA system to deal with real time questions in the domain of RLVs within the larger field of aerospace engineering. This particular domain, the actual users of the system, and the questions asked, all demanded a change in our question-answering strategy. First, the chapter will present background on the project that provided the context and a description of the system that was deployed. Next, the chapter analyzes the questions put to the system by the users and discusses the implications that this analysis and the user evaluation study had on our design of a QA system of the future

Turn taking, timing, and planning in early language acquisition

Young children answer questions with longer delays than adults do, and they don't reach typical adult response times until several years later. We hypothesized that this prolonged pattern of delay in children's timing results from competing demands: to give an answer, children must understand a question while simultaneously planning and initiating their response. Even as children get older and more efficient in this process, the demands on them increase because their verbal responses become more complex. We analyzed conversational question-answer sequences between caregivers and their children from ages 1;8 to 3;5, finding that children (1) initiate simple answers more quickly than complex ones, (2) initiate simple answers quickly from an early age, and (3) initiate complex answers more quickly as they grow older. Our results suggest that children aim to respond quickly from the start, improving on earlier-acquired answer types while they begin to practice later-acquired, slower ones

Improving Access to Mental Health Care for Trauma Patients

It can be difficult to locate a mental health provider in Vermont. Consequently, many individuals with mental illnesses look to their primary care physicians to fill this gap. This project highlights difficulties faced by patients with PTSD and complex PTSD in Chittenden and Addison counties in finding a therapist or psychiatrist. A resource handout was created with instructions on how to find a therapist in VT and a list of practitioners in Addison and Chittenden counties who specialize in trauma. In addition, a patient information sheet that answers some questions about PTSD and complex PTSD and also provides a list of mindfulness exercises that can be used by patients while they are waiting to find a mental health practitioner.https://scholarworks.uvm.edu/fmclerk/1443/thumbnail.jp

Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives

With the ever-increasing utilization of natural language processing (NLP), we started to witness over the past few years a significant transformation in our interaction with legal texts. This technology has advanced the analysis and enhanced the understanding of complex legal terminology and contexts. The development of recent large language models (LLMs), particularly ChatGPT, has also introduced a revolutionary contribution to the way that legal texts can be processed and comprehended. In this paper, we present our work on a cooperative-legal question-answering LLM-based chatbot, where we developed a set of legal questions about Palestinian cooperatives, associated with their regulations and compared the auto-generated answers by the chatbot to their correspondences that are designed by a legal expert. To evaluate the proposed chatbot, we have used 50 queries generated by the legal expert and compared the answers produced by the chart to their relevance judgments. Finding demonstrated that an overall accuracy rate of 82% has been achieved when answering the queries, while exhibiting an F1 score equivalent to 79%

Open-domain web-based multiple document : question answering for list questions with support for temporal restrictors

Tese de doutoramento, Informática (Ciências da Computação), Universidade de Lisboa, Faculdade de Ciências, 2015With the growth of the Internet, more people are searching for information on the Web. The combination of web growth and improvements in Information Technology has reignited the interest in Question Answering (QA) systems. QA is a type of information retrieval combined with natural language processing techniques that aims at finding answers to natural language questions. List questions have been widely studied in the QA field. These are questions that require a list of correct answers, making the task of correctly answering them more complex. In List questions, the answers may lie in the same document or spread over multiple documents. In the latter case, a QA system able to answer List questions has to deal with the fusion of partial answers. The current Question Answering state-of-the-art does not provide yet a good way to tackle this complex problem of collecting the exact answers from multiple documents. Our goal is to provide better QA solutions to users, who desire direct answers, using approaches that deal with the complex problem of extracting answers found spread over several documents. The present dissertation address the problem of answering Open-domain List questions by exploring redundancy and combining it with heuristics to improve QA accuracy. Our approach uses the Web as information source, since it is several orders of magnitude larger than other document collections. Besides handling List questions, we develop an approach with special focus on questions that include temporal information. In this regard, the current work addresses a topic that was lacking specific research. A additional purpose of this dissertation is to report on important results of the research combining Web-based QA, List QA and Temporal QA. Besides the evaluation of our approach itself we compare our system with other QA systems in order to assess its performance relative to the state-of-the-art. Finally, our approaches to answer List questions and List questions with temporal information are implemented into a fully-fledged Open-domain Web-based Question Answering System that provides answers retrieved from multiple documents.Com o crescimento da Internet cada vez mais pessoas buscam informações usando a Web. A combinação do crescimento da Internet com melhoramentos na Tecnologia da Informação traz como consequência o renovado interesse em Sistemas de Respostas a Perguntas (SRP). SRP combina técnicas de recuperação de informação com ferramentas de apoio à linguagem natural com o objetivo de encontrar respostas para perguntas em linguagem natural. Perguntas do tipo lista têm sido largamente estudadas nesta área. Neste tipo de perguntas é esperada uma lista de respostas corretas, o que torna a tarefa de responder a perguntas do tipo lista ainda mais complexa. As respostas para este tipo de pergunta podem ser encontradas num único documento ou espalhados em múltiplos documentos. No último caso, um SRP deve estar preparado para lidar com a fusão de respostas parciais. Os SRP atuais ainda não providenciam uma boa forma de lidar com este complexo problema de coletar respostas de múltiplos documentos. Nosso objetivo é prover melhores soluções para utilizadores que desejam buscar respostas diretas usando abordagens para extrair respostas de múltiplos documentos. Esta dissertação aborda o problema de responder a perguntas de domínio aberto explorando redundância combinada com heurísticas. Nossa abordagem usa a Internet como fonte de informação uma vez que a Web é a maior coleção de documentos da atualidade. Para além de responder a perguntas do tipo lista, nós desenvolvemos uma abordagem para responder a perguntas com restrição temporal. Neste sentido, o presente trabalho aborda este tema onde há pouca investigação específica. Adicionalmente, esta dissertação tem o propósito de informar sobre resultados importantes desta pesquisa que combina várias áreas: SRP com base na Web, SRP especialmente desenvolvidos para responder perguntas do tipo lista e também com restrição temporal. Além da avaliação da nossa própria abordagem, comparamos o nosso sistema com outros SRP, a fim de avaliar o seu desempenho em relação ao estado da arte. Por fim, as nossas abordagens para responder a perguntas do tipo lista e perguntas do tipo lista com informações temporais são implementadas em um Sistema online de Respostas a Perguntas de domínio aberto que funciona diretamente sob a Web e que fornece respostas extraídas de múltiplos documentos.Fundação para a Ciência e a Tecnologia (FCT), SFRH/BD/65647/2009; European Commission, projeto QTLeap (Quality Translation by Deep Language Engineering Approache

Turn-taking: a case study of early gesture and word use in answering WHERE and WHICH questions

When young children answer questions, they do so more slowly than adults and appear to have difficulty finding the appropriate words. Because children leave gaps before they respond, it is possible that they could answer faster with gestures than with words. In this case study of one child from age 1;4 to 3;5, we compare gestural and verbal responses to adult Where and Which questions, which can be answered with gestures and/or words. After extracting all adult Where and Which questions and child answers from longitudinal videotaped sessions, we examined the timing from the end of each question to the start of the response, and compared the timing for gestures and words. Child responses could take the form of a gesture or word(s); the latter could be words repeated from the adult question or new words retrieved by the child. Or responses could be complex: a gesture + word repeat, gesture + new word, or word repeat + new word.Gestures were the fastest overall, followed successively by word-repeats, then new-word responses. This ordering, with gestures ahead of words, suggests that the child knows what to answer but needs more time to retrieve any relevant words. In short, word retrieval and articulation appear to be bottlenecks in the timing of responses: both add to the planning required in answering a question