Papers Timeline Summarization
“Timeline Summarization” 태그가 달린 논문 31편 · 필터 해제
NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning
The rapid updates of online news make tracking event developments challenging, highlighting the need for timeline summarization (TLS). Hallucinations, where LLM-generated content deviates from source news, still remain a…
Timeline SummarizationLarge Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
Understanding how events evolve over time is essential for search engines handling queries about trending news. We present QDET (Query-Driven Event Timeline Summarization), a production system deployed on Baidu Search th…
Timeline SummarizationReinforcement LearningTimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models
The proliferation of online news poses a challenge to extracting structured timelines from unstructured content. While recent studies have shown that Large Language Models (LLMs) can assist Timeline Summarization (TLS), …
Timeline SummarizationRadTimeline: Timeline Summarization for Longitudinal Radiological Lung Findings
Tracking findings in longitudinal radiology reports is crucial for accurately identifying disease progression, and the time-consuming process would benefit from automatic summarization. This work introduces a structured …
Timeline SummarizationHistoryBankQA: Multilingual Temporal Question Answering on Historical Events
Temporal reasoning about historical events is a critical skill for NLP tasks like event extraction, historical entity linking, temporal question answering, timeline summarization, temporal event clustering and temporal n…
Natural Language UnderstandingNatural Language InferenceTimeline SummarizationQuestion AnsweringWho's important? -- SUnSET: Synergistic Understanding of Stakeholder, Events and Time for Timeline Generation
As news reporting becomes increasingly global and decentralized online, tracking related events across multiple sources presents significant challenges. Existing news summarization methods typically utilizes Large Langua…
Timeline SummarizationTReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues
Temporal reasoning in multi-session dialogues presents a significant challenge which has been under-studied in previous temporal reasoning benchmarks. To bridge this gap, we propose a new evaluation task for temporal rea…
MemorizationTimeline SummarizationUnfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization
In the fast-changing realm of information, the capacity to construct coherent timelines from extensive event-related content has become increasingly significant and challenging. The complexity arises in aggregating relat…
News RetrievalRetrievalTimeline SummarizationTemporal reasoning for timeline summarisation in social media
This paper explores whether enhancing temporal reasoning capabilities in Large Language Models (LLMs) can improve the quality of timeline summarization, the task of summarising long texts containing sequences of events, …
Knowledge DistillationTimeline SummarizationJust What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
Given news articles about an entity, such as a public figure or organization, timeline summarization (TLS) involves generating a timeline that summarizes the key events about the entity. However, the TLS task is too unde…
ArticlesLanguage ModelingLanguage ModellingLarge Language Model+1DTELS: Towards Dynamic Granularity of Timeline Summarization
The rapid proliferation of online news has posed significant challenges in tracking the continuous development of news topics. Traditional timeline summarization constructs a chronological summary of the events but often…
InformativenessTimeline SummarizationAn 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. This trait is essential in tem…
Common Sense ReasoningLanguage ModellingNatural Language InferenceQuestion Answering+1Archive 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. The study of these collections may be, however, impaired by some aspects o…
PositionTimeline SummarizationFollow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order
Nowadays, time-stamped web documents related to a general news query floods spread throughout the Internet, and timeline summarization targets concisely summarizing the evolution trajectory of events along the timeline. …
DecoderDocument SummarizationTimeline SummarizationTime Series AnalysisJoint Learning-based Heterogeneous Graph Attention Network for Timeline Summarization
Previous studies on the timeline summarization (TLS) task ignored the information interaction between sentences and dates, and adopted pre-defined unlearnable representations for them. They also considered date selection…
Event DetectionGraph AttentionTimeline SummarizationPlacing (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…
Articlescoreference-resolutionCoreference ResolutionEvent Coreference Resolution+2Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport
Timeline Summarization identifies major events from a news collection and describes them following temporal order, with key dates tagged. Previous methods generally generate summaries separately for each date after they …
ArticlesTimeline SummarizationMulti-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). Given any collection of time-stamped news articles, MTLS aut…
ArticlesTimeline SummarizationCNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline Summarization
Timeline summarization (TLS) involves creating summaries of long-running events using dated summaries from numerous news articles. However, limited data availability has significantly slowed down the development of timel…
ArticlesInformation RetrievalRetrievalTimeline Summarization+2Examining the State-of-the-Art in News Timeline Summarization
Previous work on automatic news timeline summarization (TLS) leaves an unclear picture about how this task can generally be approached and how well it is currently solved. This is mostly due to the focus on individual su…
Timeline Summarization