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Corpus Of Linguistic Acceptability
Corpus of Linguistic Acceptability (CoLA) is a dataset the primary purpose of which is to serve as a benchmark for evaluating the ability of artificial neural networks, including large language model A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 an ...s, to judge the grammatical correctness of sentences. It consists of 10,657 English sentences from published linguistics literature that were manually labeled either as grammatical or ungrammatical. Public version The publicly available version of CoLA contains 9,594 sentences that belong to training and development sets. It excludes 1,063 sentences reserved for a held-out test set. External links * References {{Natural Language Processing Natural language processing ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Large Language Model
A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks. This has shifted the focus of natural language processing research away from the previous paradigm of training specialized supervised models for specific tasks. Properties Though the term ''large language model'' has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-si ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Acceptability Judgment Task
An acceptability judgment task, also called acceptability rating task, is a common method in empirical linguistics to gather information about the internal grammar of speakers of a language. Acceptability and grammaticality The goal of acceptability rating studies is to gather insights into the mental grammars of participants. As the grammaticality of a linguistic construction is an abstract construct that cannot be accessed directly, this type of tasks is usually not called grammaticality, but acceptability judgment. This can be compared to intelligence. Intelligence is an abstract construct that cannot be measured directly. What can be measured are the outcomes of specific test items. The result of one item, however, is not very telling. Instead, IQ tests consist of several items building a score. Similarly, in acceptability rating studies, grammatical constructions are measured through several items, i.e., sentences to be rated. This is also done to ensure that participants do no ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
