Distinguishing Between Foreground and Background Events in News (2020.coling-main)
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| Challenge: | a new task is needed to distinguish between foreground and background events in news articles . |
| Approach: | They propose a task of distinguishing between foreground and background events in news articles . they also identify the general temporal position of background events relative to the foregoing period . |
| Outcome: | The proposed model achieves good performance on a dataset of news articles . |
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| Challenge: | Generating concise summaries of news events is a challenging task for newcomers to a news story. |
| Approach: | They propose a task of background news summarization that complements each timeline update with a background summary of relevant preceding events. |
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Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event (2020.acl-main)
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| Challenge: | a recent study shows that news articles report context-informing content that is not necessarily relevant to main events. |
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Event Semantic Classification in Context (2024.findings-eacl)
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| Challenge: | In this work, we focus on the semantic classification of events in context to help machines gain a deeper understanding of events. |
| Approach: | They propose to integrate event semantics into downstream tasks to help machines understand events better. |
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Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries (2023.findings-emnlp)
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| Challenge: | Using hierarchical Dirichlet processes, we characterize news articles associated with key events from news streams. |
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Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations (N18-2)
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| Challenge: | Identifying the most dominant and central event of a document is useful for many applications, says a new study . identifying the most prominent event in a news article is useful in text summarization, storyline generation and text segmentation. |
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Predicting Factuality of Reporting and Bias of News Media Sources (D18-1)
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| Challenge: | a new study examines the factuality of news media and its biases . social media has democratized content creation and spread information online . |
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Uncovering Temporal Framing in the News (2026.acl-long)
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Tarek Mahmoud, Veronika Solopova, Premtim Sahitaj, Ariana Sahitaj, Max Upravitelev, Mervat Abassy, Hana Fatima Shaikh, Neda Foroutan, Vera Schmitt, Preslav Nakov
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Context in Informational Bias Detection (2020.coling-main)
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| Challenge: | Informational bias is conveyed through sentences or clauses that provide tangential, speculative or background information that can sway readers’ opinions towards entities. |
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Manovaad: A Novel Approach to Event Oriented Corpus Creation Capturing Subjectivity and Focus (2020.lrec-1)
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| Challenge: | Several studies conducted on the different styles of reporting in journalism are essential in understanding phenomena such as media bias and multiple interpretations of the same event. |
| Approach: | They propose a novel method of event reporting that correlates the degree of subjectivity with the geographical closeness of reporting using a Bi-RNN model. |
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Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs (2022.aacl-short)
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| Challenge: | Using news discourse profiling, we can identify temporal relationships between events and time expressions that are temporally related and otherwise difficult to locate. |
| Approach: | They propose to leverage news discourse profiling to model document-level temporal structures for building temporal dependency graphs. |
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