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Found 18 papers, 0 papers with code
Evaluating Document Coherence Modelling
While pretrained language models ("LM") have driven impressive gains over morpho-syntactic and semantic tasks, their ability to model discourse and pragmatic phenomena is less clear.
Modelling Uncertainty in Collaborative Document Quality Assessment
In the context of document quality assessment, previous work has mainly focused on predicting the quality of a document relative to a putative gold standard, without paying attention to the subjectivity of this task.
How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions
In this paper, we apply various embedding methods on multiword expressions to study how well they capture the nuances of non-compositional data.
A Joint Model for Multimodal Document Quality Assessment
The quality of a document is affected by various factors, including grammaticality, readability, stylistics, and expertise depth, making the task of document quality assessment a complex one.
A Comparative Study of Embedding Models in Predicting the Compositionality of Multiword Expressions
In this paper, we perform a comparative evaluation of off-the-shelf embedding models over the task of compositionality prediction of multiword expressions(``MWEs'').
Evaluating hypotheses in geolocation on a very large sample of Twitter
Recent work in geolocation has made several hypotheses about what linguistic markers are relevant to detect where people write from.
Huntsville, hospitals, and hockey teams: Names can reveal your location
Geolocation is the task of identifying a social media user{'}s primary location, and in natural language processing, there is a growing literature on to what extent automated analysis of social media posts can help.
Determining the Multiword Expression Inventory of a Surprise Language
Much previous research on multiword expressions (MWEs) has focused on the token- and type-level tasks of MWE identification and extraction, respectively.
