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[HTML][HTML] Human evaluation of automatically generated text: Current trends and best practice guidelines
Currently, there is little agreement as to how Natural Language Generation (NLG) systems
should be evaluated, with a particularly high degree of variation in the way that human …
should be evaluated, with a particularly high degree of variation in the way that human …
Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias
Humans are universally good in providing stable and accurate judgments about what forms
part of their language and what not. Large Language Models (LMs) are claimed to possess …
part of their language and what not. Large Language Models (LMs) are claimed to possess …
Linguistic representation and processing of copredication
E Murphy - 2021 - discovery.ucl.ac.uk
This thesis addresses the lexical and psycholinguistic properties of copredication. In
particular, it explores its acceptability, frequency, crosslinguistic and electrophysiological …
particular, it explores its acceptability, frequency, crosslinguistic and electrophysiological …
The effect of three basic task features on the sensitivity of acceptability judgment tasks
Sprouse and Almeida (2017) provide a first systematic investigation of the sensitivity of four
acceptability judgment tasks. In this project, we build on these results by decomposing those …
acceptability judgment tasks. In this project, we build on these results by decomposing those …
The application of signal detection theory to acceptability judgments
Acceptability judgments have been an important tool in language research. By asking a
native speaker whether a linguistic token is acceptable, linguists and psycholinguists can …
native speaker whether a linguistic token is acceptable, linguists and psycholinguists can …
Sentence acceptability experiments: What, how, and why
G Goodall - The Cambridge handbook of experimental syntax, 2021 - books.google.com
Sentence acceptability experiments have become increasingly common since Cowart
(1997) first presented a detailed method for carrying them out, but there is still relatively little …
(1997) first presented a detailed method for carrying them out, but there is still relatively little …
Investigating representations of verb bias in neural language models
Languages typically provide more than one grammatical construction to express certain
types of messages. A speaker's choice of construction is known to depend on multiple …
types of messages. A speaker's choice of construction is known to depend on multiple …
Approaching gradience in acceptability with the tools of signal detection theory
This chapter outlines a framework for using signal detection theory (SDT) to guide the
design and analysis of acceptability judgment studies in experimental linguistics. It presents …
design and analysis of acceptability judgment studies in experimental linguistics. It presents …
A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language
In the last decade, the demand for readily accessible corpora has touched all areas of
natural language processing, including coreference resolution. However, it is one of the …
natural language processing, including coreference resolution. However, it is one of the …
Assessing introspective linguistic judgments quantitatively: the case of The Syntax of Chinese
The informal judgments of the well-formedness of phrases and sentences have long been
used as the primary data source for syntacticians. In recent years, the reliability of data …
used as the primary data source for syntacticians. In recent years, the reliability of data …