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Large language models (LLMs) encode parametric knowledge about world facts and have shown remarkable performance in knowledge-driven NLP tasks. However, their reliance on parametric knowledge may caus…
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I am thinking of a series of Natural Language Processing functions that take care of the pre-processing and allow the user to focus on the task and the output. This would be most useful where the obje…
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We are trying to evaluate Named Entity Recognition and Part of Speech tagging tasks, but it is unclear to us how to do that.
We've noticed that `aclue` include a Named Entity Recognition task but it …
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Filing this ticket in support of the LLM-based 'publication filtering' tool presented by @Rosinaweber at the June 2024 Relay.
In the example below, four pubs are shown as providing direct support …
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Hi
I was trying to run your code on another task. I have processed the data to be similar to semeval data. I have also amended the number of relations and the 2 files for evaluation with my relatio…
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Right now, `skweak` supports two main types of NLP tasks: (token-level) sequence labelling and text classification. Both rests on the idea that labelling functions associate labels to *text spans*, an…
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Dear authors, this repository is such a great resource! Many thanks for creating it. I would like to suggest that maybe the Open Research Knowledge Graph (https://orkg.org/) could be leveraged to enli…
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Dear authors, this repository is such a great resource! Many thanks for creating it. I would like to suggest that maybe the Open Research Knowledge Graph (https://orkg.org/) could be leveraged to enli…