Complex temporal question answering on knowledge graphs
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with
temporal intent are a special class of practical importance, but have not received much …
temporal intent are a special class of practical importance, but have not received much …
NATSUM: Narrative abstractive summarization through cross-document timeline generation
A new approach to narrative abstractive summarization (NATSUM) is presented in this
paper. NATSUM is centered on generating a narrative chronologically ordered summary …
paper. NATSUM is centered on generating a narrative chronologically ordered summary …
[PDF][PDF] A low-rank approximation approach to learning joint embeddings of news stories and images for timeline summarization
A key challenge for timeline summarization is to generate a concise, yet complete storyline
from large collections of news stories. Previous studies in extractive timeline generation are …
from large collections of news stories. Previous studies in extractive timeline generation are …
Cross-document event ordering through temporal, lexical and distributional knowledge
In this paper we present a system that automatically builds ordered timelines of events from
different written texts in English. The system deals with problems such as automatic event …
different written texts in English. The system deals with problems such as automatic event …
[PDF][PDF] Timeline extraction using distant supervision and joint inference
S Cornegruta, A Vlachos - … of the 2016 Conference on Empirical …, 2016 - aclanthology.org
In timeline extraction the goal is to order all the events in which a target entity is involved in a
timeline. Due to the lack of explicitly annotated data, previous work is primarily rule-based …
timeline. Due to the lack of explicitly annotated data, previous work is primarily rule-based …
Timeline generation based on a two-stage event-time anchoring model
T Sakaguchi, S Kurohashi - … , CICLing 2017, Budapest, Hungary, April 17 …, 2018 - Springer
Timeline construction task has become popular as a way of multi-document summarization.
Dealing with such a problem, it is essential to anchor each event to an appropriate time …
Dealing with such a problem, it is essential to anchor each event to an appropriate time …
[PDF][PDF] Cross-document event ordering through temporal relation inference and distributional semantic models
Este art culo se centra en estudiar la contribuci on que la inferencia de relaciones
temporales y los modelos sem anticos distribucionales hacen a la tarea de ordenaci on de …
temporales y los modelos sem anticos distribucionales hacen a la tarea de ordenaci on de …
[图书][B] Neural named entity recognition and temporal relation extraction
M Ju - 2020 - search.proquest.com
Automatically identifying information of interest from texts is one of the most difficult
challenges. One crucial step towards information extraction is named entity recognition …
challenges. One crucial step towards information extraction is named entity recognition …
[PDF][PDF] From Unstructured Data to Narrative Abstractive Summaries
ES Boró - 26th International Symposium on Temporal …, 2019 - drops.dagstuhl.de
To provide with easy and optimal access to digital information, narrative summaries must
have a coherent and natural structure. Depending on how a summary is produced, a …
have a coherent and natural structure. Depending on how a summary is produced, a …
From Unstructured Data to Narrative Abstractive Summaries
E Saquete Boró - 2019 - rua.ua.es
To provide with easy and optimal access to digital information, narrative summaries must
have a coherent and natural structure. Depending on how a summary is produced, a …
have a coherent and natural structure. Depending on how a summary is produced, a …