Timeline Summarization
5 papers with code • 1 benchmarks • 0 datasets
Identifying key dates of major events and providing short descriptions of what happened on these dates. (Source: https://www.aclweb.org/anthology/D19-5403/)
Latest papers with no code
An Overview Of Temporal Commonsense Reasoning and Acquisition
Temporal commonsense reasoning refers to the ability to understand the typical temporal context of phrases, actions, and events, and use it to reason over problems requiring such knowledge.
Archive TimeLine Summarization (ATLS): Conceptual Framework for Timeline Generation over Historical Document Collections
Archive collections are nowadays mostly available through search engines interfaces, which allow a user to retrieve documents by issuing queries.
Placing (Historical) Events on a Timeline: A Classification cum Co-ref Resolution Approach
The event timeline provides one of the most effective ways to visualize the important historical events that occurred over a period of time, presenting the insights that may not be so apparent from reading the equivalent information in textual form.
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries
In this paper, we address a novel task, Multiple TimeLine Summarization (MTLS), which extends the flexibility and versatility of Time-Line Summarization (TLS).
CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline Summarization
We meticulously analyze the corpus using well-known metrics, focusing on the style of the summaries and the complexity of the summarization task.
Dataset Reproducibility and IR Methods in Timeline Summarization
We therefore construct event-specific corpora from a large static background corpus, the newsroom dataset, using differing, relatively simple IR methods based on raw text alone.
Abstractive Timeline Summarization
In addition, we present the first abstractive oracle experiments for TLS.
A Dynamic Evolutionary Framework for Timeline Generation based on Distributed Representations
Given the collection of timestamped web documents related to the evolving topic, timeline summarization (TS) highlights its most important events in the form of relevant summaries to represent the development of a topic over time.
Improving ROUGE for Timeline Summarization
Current evaluation metrics for timeline summarization either ignore the temporal aspect of the task or require strict date matching.
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events
In this work, we present a novel approach for timeline summarization of high-impact events, which uses entities instead of sentences for summarizing the event at each individual point in time.
