14,882 research outputs found
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
In this work, we present an end-to-end Knowledge Graph Question Answering
(KGQA) system named GETT-QA. GETT-QA uses T5, a popular text-to-text
pre-trained language model. The model takes a question in natural language as
input and produces a simpler form of the intended SPARQL query. In the simpler
form, the model does not directly produce entity and relation IDs. Instead, it
produces corresponding entity and relation labels. The labels are grounded to
KG entity and relation IDs in a subsequent step. To further improve the
results, we instruct the model to produce a truncated version of the KG
embedding for each entity. The truncated KG embedding enables a finer search
for disambiguation purposes. We find that T5 is able to learn the truncated KG
embeddings without any change of loss function, improving KGQA performance. As
a result, we report strong results for LC-QuAD 2.0 and SimpleQuestions-Wikidata
datasets on end-to-end KGQA over Wikidata.Comment: 16 pages single column format accepted at ESWC 2023 research trac
L’Asie du Sud-Est 2023 : bilan, enjeux et perspectives
Chaque année, l’Institut de recherche sur l’Asie du Sud-Est contemporaine (IRASEC), basé à Bangkok, mobilise une vingtaine de chercheurs et d’experts pour mieux comprendre l’actualité régionale de ce carrefour économique, culturel et religieux, au cœur de l’Indo-Pacifique. Cette collection permet de suivre au fil des ans l’évolution des grands enjeux contemporains de cette région continentale et archipélagique de plus de 680 millions d’habitants, et d’en comprendre les dynamiques d’intégration régionale et de connectivités avec le reste du monde. L’Asie du Sud-Est 2023 propose une analyse synthétique et détaillée des principaux événements politiques et diplomatiques, ainsi que des évolutions économiques, sociales et environnementales de l’année 2022 dans chacun des onze pays de la région. Ce décryptage est complété pour chaque pays par un focus sur deux personnalités de l’année et une actualité marquante en image. L’ouvrage propose également cinq dossiers thématiques qui abordent des sujets traités à l’échelle régionale sud-est asiatique : les ressorts institutionnels de l’approche de santé intégrée One Health, le vieillissement de la population et sa prise en compte par les politiques publiques, les câbles sous-marins au cœur de la connectivité sud-est asiatique, l’aménagement du bassin du Mékong et ses multiples acteurs, et les enjeux politiques et linguistiques des langues transnationales. Des outils pratiques sont également disponibles : une fiche et une chronologie par pays et un cahier des principaux indicateurs démographiques, sociaux, économiques et environnementaux
A Survey on Biomedical Text Summarization with Pre-trained Language Model
The exponential growth of biomedical texts such as biomedical literature and
electronic health records (EHRs), provides a big challenge for clinicians and
researchers to access clinical information efficiently. To address the problem,
biomedical text summarization has been proposed to support clinical information
retrieval and management, aiming at generating concise summaries that distill
key information from single or multiple biomedical documents. In recent years,
pre-trained language models (PLMs) have been the de facto standard of various
natural language processing tasks in the general domain. Most recently, PLMs
have been further investigated in the biomedical field and brought new insights
into the biomedical text summarization task. In this paper, we systematically
summarize recent advances that explore PLMs for biomedical text summarization,
to help understand recent progress, challenges, and future directions. We
categorize PLMs-based approaches according to how they utilize PLMs and what
PLMs they use. We then review available datasets, recent approaches and
evaluation metrics of the task. We finally discuss existing challenges and
promising future directions. To facilitate the research community, we line up
open resources including available datasets, recent approaches, codes,
evaluation metrics, and the leaderboard in a public project:
https://github.com/KenZLuo/Biomedical-Text-Summarization-Survey/tree/master.Comment: 19 pages, 6 figures, TKDE under revie
Generalized Weak Supervision for Neural Information Retrieval
Neural ranking models (NRMs) have demonstrated effective performance in
several information retrieval (IR) tasks. However, training NRMs often requires
large-scale training data, which is difficult and expensive to obtain. To
address this issue, one can train NRMs via weak supervision, where a large
dataset is automatically generated using an existing ranking model (called the
weak labeler) for training NRMs. Weakly supervised NRMs can generalize from the
observed data and significantly outperform the weak labeler. This paper
generalizes this idea through an iterative re-labeling process, demonstrating
that weakly supervised models can iteratively play the role of weak labeler and
significantly improve ranking performance without using manually labeled data.
The proposed Generalized Weak Supervision (GWS) solution is generic and
orthogonal to the ranking model architecture. This paper offers four
implementations of GWS: self-labeling, cross-labeling, joint cross- and
self-labeling, and greedy multi-labeling. GWS also benefits from a query
importance weighting mechanism based on query performance prediction methods to
reduce noise in the generated training data. We further draw a theoretical
connection between self-labeling and Expectation-Maximization. Our experiments
on two passage retrieval benchmarks suggest that all implementations of GWS
lead to substantial improvements compared to weak supervision in all cases
Bridging technology and educational psychology: an exploration of individual differences in technology-assisted language learning within an Algerian EFL setting
The implementation of technology in language learning and teaching has a great influence onthe teaching and learning process as a whole and its impact on the learners’ psychological state seems of paramount significance, since it could be either an aid or a barrier to students’ academic performance. This thesis therefore explores individual learner differences in technology-assisted language learning (TALL) and when using educational technologies in
higher education within an Algerian English as a Foreign Language (EFL) setting.
Although I initially intended to investigate the relationship between TALL and certain affective variables mainly motivation, anxiety, self-confidence, and learning styles inside the classroom, the collection and analysis of data shifted my focus to a holistic view of individual learner
differences in TALL environments and when using educational technologies within and beyond the classroom. In an attempt to bridge technology and educational psychology, this
ethnographic case study considers the nature of the impact of technology integration in language teaching and learning on the psychology of individual language learners inside and
outside the classroom. The study considers the reality constructed by participants and reveals multiple and distinctive views about the relationship between the use of educational technologies in higher education and individual learner differences. It took place in a university
in the north-west of Algeria and involved 27 main and secondary student and teacher participants. It consisted of focus-group discussions, follow-up discussions, teachers’
interviews, learners’ diaries, observation, and field notes. It was initially conducted within the classroom but gradually expanded to other settings outside the classroom depending on the availability of participants, their actions, and activities.
The study indicates that the impact of technology integration in EFL learning on individual learner differences is both complex and dynamic. It is complex in the sense that it is shown in multiple aspects and reflected on the students and their differences. In addition to various positive and different negative influences of different technology uses and the different psychological reactions among students to the same technology scenario, the study reveals the
unrecognised different manifestations of similar psychological traits in the same ELT technology scenario. It is also dynamic since it is characterised by constant change according to contextual approaches to and practical realities of technology integration in language teaching and learning in the setting, including discrepancies between students’ attitudes and teacher’ actions, mismatches between technological experiences inside and outside the classroom, local concerns and generalised beliefs about TALL in the context, and the rapid and unplanned shift to online educational delivery during the Covid-19 pandemic situation.
The study may therefore be of interest, not only to Algerian teachers and students, but also to academics and institutions in other contexts through considering the complex and dynamic
impact of TALL and technology integration at higher education on individual differences, and to academics in similar low-resource contexts by undertaking a context approach to technology integration
Victims' Access to Justice in Trinidad and Tobago: An exploratory study of experiences and challenges of accessing criminal justice in a post-colonial society
This thesis investigates victims' access to justice in Trinidad and Tobago, using their own narratives. It seeks to capture how their experiences affected their identities as victims and citizens, alongside their perceptions of legitimacy regarding the criminal justice system. While there have been some reforms in the administration of criminal justice in Trinidad and Tobago, such reforms have not focused on victims' accessibility to the justice system. Using grounded theory methodology, qualitative data was collected through 31 in-depth interviews with victims and victim advocates. The analysis found that victims experienced interpersonal, structural, and systemic barriers at varying levels throughout the criminal justice system, which manifested as institutionalized secondary victimization, silencing and inequality. This thesis argues that such experiences not only served to appropriate conflict but demonstrates that access is often given in a very narrow sense. Furthermore, it shows a failure to encompass access to justice as appropriated conflicts are left to stagnate in the system as there is often very little resolution. Adopting a postcolonial lens to analyse victims' experiences, the analysis identified othering practices that served to institutionalize the vulnerability and powerlessness associated with victim identities. Here, it is argued that these othering practices also affected the rights consciousness of victims, delegitimating their identities as citizens. Moreover, as a result of their experiences, victims had mixed perceptions of the justice system. It is argued that while the system is a legitimate authority victims' endorsement of the system is questionable, therefore victims' experiences suggest that there is a reinforcement of the system's legal hegemony. The findings suggest that within the legal system of Trinidad and Tobago, legacies of colonialism shape the postcolonial present as the psychology and inequalities of the past are present in the interactions and processes of justice. These findings are relevant for policymakers in Trinidad and Tobago and other regions. From this study it is recognized that, to improve access to justice for victims, there needs to be a move towards victim empowerment that promotes resilience and enhances social capital. Going forward it is noted that there is a need for further research
Recommended from our members
The Experiences and Needs of Individuals With a Variant of Uncertain Significance (VUS) on Genetic Tests for Hereditary Cancer Syndromes: A Grounded Theory Study
Background: The use of multigene panel testing for identifying individuals with hereditary cancer susceptibility has expanded in recent years. The number of individuals who have a variant of unknown significance (VUS) result is increasing. However, little is known about the experiences and needs of this group. This study’s purpose was to describe the experiences and needs of individuals with a VUS result by focusing on their experiences in communicating with healthcare providers and family members. Methods: A constructivist grounded theory approach was used. Recruitment took place from January–July 2021 through social media: the Prospective Registry of Multiplex Testing (PROMPT), and the Facing Our Risk (FORCE) websites. A total of 20 individuals participated in the study. Data were collected through semistructured interviews, and the verified transcripts were analyzed in NViVo. Results: Categories were sorted into by time: pretest, testing, and posttesting process. Categories included motivations, communication with family, family characteristics, communication with healthcare providers, other factors affecting the testing experiences, feelings about having a VUS, recall and understanding of the test result and its implications, coping strategies used, and risk management strategies used. From these categories, a theoretical model to describe the experiences of individuals with a VUS vi was developed. In the theory, contextual factors such as personality, coping style, and cancer history, decisions about medical care, communicating with healthcare providers and family members, and needs such as knowledgeable and trustworthy providers, support for emotional needs, and open lines of communication were part of the experience described by participants. Conclusion: This study describes the experiences of individuals who have a VUS from their point of view. The proposed theoretical model proposes the key themes that impact the experience: context; decision-making; communication with healthcare providers and family; and the need for knowledgeable and trustworthy providers; met emotional needs; and open lines of communication
The Mission Statement of Jesus: Mark 1:15, Mark's Apocalyptically Charged Decision Motif
This dissertation examines the mission statement of Jesus in Mark 1:15: ‘The time is fulfilled, the kingdom of God is at hand, repent and believe in the gospel’. The statement will be examined from the perspective of the writer, Mark, who - it will be argued - crafted the statement as a rhetorical device to press his audience for a personal decision to accept Jesus as the Messiah and Son of God and as a call for them to be baptized. It will be argued that the mission statement was fully crafted by Mark rather than originating with the historical Jesus. The analysis examines the apocalyptic imagery that the writer invokes, and how he uses that imagery to charge a decision motif with tension and a call to action, prior to what was expected to be the imminent Parousia of Jesus. The statement in Mark 1:15 is examined from a textual, literary, and historical perspective, considering Mark’s literary style from a narrative perspective, his rhetorical goals, and the eschatological and apocalyptic expectations that were operating in the background at the time of the Gospel’s composition. Mark’s use of apocalyptic imagery for rhetorical purposes will be shown to be the product of his circumstances and of those experienced by his community during the first Jewish-Roman War. These circumstances led him to believe that the end of the age had come and that certain prophetic traditions regarding the ‘Day of the Lord’ were being fulfilled. This therefore led Mark to frame the mission statement as an imperative for early Christian believers to decide to commit themselves fully, through the act of baptism, to suffering discipleship and imminent death in the final moments before the return of Jesus
Detection of Hyperpartisan news articles using natural language processing techniques
Yellow journalism has increased the spread of hyperpartisan news on the internet. It is very difficult for online news article readers to distinguish hyperpartisan news articles from mainstream news articles. There is a need for an automated model that can detect hyperpartisan news on the internet and tag them as hyperpartisan so that it is very easy for readers to avoid that news. A hyperpartisan news detection article was developed by using three different natural language processing techniques named BERT, ELMo, and Word2vec. This research used the bi-article dataset published at SEMEVAL-2019. The ELMo word embeddings which are trained on a Random forest classifier has got an accuracy of 0.88, which is much better than other state of art models. The BERT and Word2vec models have got the same accuracy of 0.83. This research tried different sentence input lengths to BERT and proved that BERT can extract context from local words. Evidenced from the described ML models, this study will assist the governments, news’ readers, and other political stakeholders to detect any hyperpartisan news, and also helps policy to track, and regulate, misinformation about the political parties and their leaders
TOWARDS AN UNDERSTANDING OF EFFORTFUL FUNDRAISING EXPERIENCES: USING INTERPRETATIVE PHENOMENOLOGICAL ANALYSIS IN FUNDRAISING RESEARCH
Physical-activity oriented community fundraising has experienced an exponential growth in popularity over the past 15 years. The aim of this study was to explore the value of effortful fundraising experiences, from the point of view of participants, and explore the impact that these experiences have on people’s lives. This study used an IPA approach to interview 23 individuals, recognising the role of participants as proxy (nonprofessional) fundraisers for charitable organisations, and the unique organisation donor dynamic that this creates. It also bought together relevant psychological theory related to physical activity fundraising experiences (through a narrative literature review) and used primary interview data to substantiate these. Effortful fundraising experiences are examined in detail to understand their significance to participants, and how such experiences influence their connection with a charity or cause. This was done with an idiographic focus at first, before examining convergences and divergences across the sample. This study found that effortful fundraising experiences can have a profound positive impact upon community fundraisers in both the short and the long term. Additionally, it found that these experiences can be opportunities for charitable organisations to create lasting meaningful relationships with participants, and foster mutually beneficial lifetime relationships with them. Further research is needed to test specific psychological theory in this context, including self-esteem theory, self determination theory, and the martyrdom effect (among others)
- …