Papers with linguistic principles
Compiling a Suitable Level of Sense Granularity in a Lexicon for AI Purposes: The Open Source COR Lexicon (2022.lrec-1)
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Bolette Pedersen, Nathalie Carmen Hau Sørensen, Sanni Nimb, Ida Flørke, Sussi Olsen, Thomas Troelsgård
| Challenge: | The central word register for Danish is an open source lexicon project for general AI purposes funded and initiated by the Danish Agency for Digitisation in 2020. |
| Approach: | They propose to use existing fine-grained sense inventory to compile a more AI-appropriate sense granularity level of the vocabulary. |
| Outcome: | The proposed lexical resource is based on the fine-grained sense inventory from Den Danske Ordbog (DDO) it is designed to be more practical and suitable for AI, omitting outdated language and slang, merging subtle and rare sub-senses with their main sense, disregarding sub-domains, etc. |
Human-like informative conversations: Better acknowledgements using conditional mutual information (2021.naacl-main)
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| Challenge: | Existing chatbots generate responses that are non-specific w.r.t. one of the contexts, typically the conversational history. |
| Approach: | They propose to build a dialogue agent that can weave new factual content into conversations as naturally as humans. |
| Outcome: | The proposed method trades off pmi for pcmi_h and is preferred by humans for overall quality over the Max-PMI baseline 60% of the time. |
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts (2023.emnlp-main)
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| Challenge: | Existing methods to access linguistic information in pre-trained multilingual language models are difficult to use. |
| Approach: | They propose prompting and formulate linguistic tasks to test the LM's access to explicit grammar principles and find out what type of information can be obtained . |
| Outcome: | The proposed method can provide access to linguistic features in pre-trained models, but some are harder to capture . |