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Document Dating

Document Dating is the problem of automatically predicting the date of a document based on its content. Date of a document, also referred to as the Document Creation Time (DCT), is at the core of many important tasks, such as, information retrieval, temporal reasoning, text summarization, event detection, and analysis of historical text, among others.

For example, in the following document, the correct creation year is 1999. This can be inferred by the presence of terms 1995 and Four years after.

Swiss adopted that form of taxation in 1995. The concession was approved by the govt last September. Four years after, the IOC….

Description from NLP Progress

Papers

Showing 19 of 9 papers

TitleStatusHype
Dating Documents using Graph Convolution NetworksCode0
AD3: Attentive Deep Document DaterCode0
Graph Convolutional Network with Sequential Attention For Goal-Oriented Dialogue Systems0
Is text normalization relevant for classifying medieval charters?0
Labeling Documents with Timestamps: Learning from their Time Expressions0
Timestamping Documents and Beliefs0
A Burstiness-aware Approach for Document Dating0
Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models0
Dating Ancient texts: an Approach for Noisy French Documents0
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