Document Dating
2 papers with code • 2 benchmarks • 1 datasets
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
Benchmarks
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New York Times Annotated Corpus
Latest papers with no code
Timestamping Documents and Beliefs
Thus document dating is a challenging problem which requires inference over the temporal structure of the document alongside the contextual information of the document.
Dating Ancient texts: an Approach for Noisy French Documents
The experiments presented in this article focused on documents written in French but we believe that the ability of character-level models to handle noise properly would help to achieve comparable results on other languages and more ancient languages in particular.
Graph Convolutional Network with Sequential Attention For Goal-Oriented Dialogue Systems
Domain specific goal-oriented dialogue systems typically require modeling three types of inputs, viz., (i) the knowledge-base associated with the domain, (ii) the history of the conversation, which is a sequence of utterances and (iii) the current utterance for which the response needs to be generated.
A Burstiness-aware Approach for Document Dating
A large number of mainstream applications, like temporal search, event detection, and trend identification, assume knowledge of the timestamp of every document in a given textual collection.
