A normally developing child, Charlie (16 months old at the beginning and 27 months old at the end of this study), was tested several times for the derivation of relations over a period of 8 months. In a series of studies Charlie was: (1) taught to match names to pictures or pictures to names and was tested for derived relations of mutual entailment, (2) tested for retention of trained and derived relations after a 2 week delay and for the derivation of mutual entailment relations after a 1 week delay from training, (3) taught to match sounds to pictures and names to pictures and tested for mutual entailment relations and name-sound and sound-name combinatorial entailment relations, and (4) tested for the matching of a novel picture to a novel name ("nonverbal" exclusion) and for subsequent naming of the novel excluded picture ("verbal" exclusion). The results show that Charlie derived mutual entailment relations and showed nonverbal exclusion as early as 17 months. Combinatorial entailment relations and verbal exclusion emerged later. These findings lend support to the view that derivation of relations is not dependent upon sophisticated verbal abilities, and that such performances can be viewed as historically and contextually situated actions that develop over time.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1006/jecp.1993.1032 | DOI Listing |
Sci Rep
November 2024
School of Languages and Cultures, Purdue University, West Lafayette, 47907, USA.
In human speakers' daily conversations, what we do not say matters. We not only compute the literal semantics but also go beyond and draw inferences from what we could have said but chose not to. How well is this pragmatic reasoning process represented in pre-trained large language models (LLM)? In this study, we attempt to address this question through the lens of manner implicature, a pragmatic inference triggered by a violation of the Grice manner maxim.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
October 2024
J Exp Anal Behav
September 2024
Department of Psychology, California State University, Sacramento, CA, USA.
The purpose of the current study was to extend the research on the possible role of verbal mediation in the establishment of comparative relations. We conducted four experiments in which 14 participants received conditional discrimination training with nonarbitrary and arbitrary stimuli, followed by derived comparative and transformation of function tests. Participants learned to select the smallest or biggest comparison across multiple exemplars in the presence of abstract samples.
View Article and Find Full Text PDFRev Socionetwork Strateg
January 2024
Faculty of Information Science and Technology, Hokkaido University, Sapporo-shi, Hokkaido Japan.
We summarize the 10th Competition on Legal Information Extraction and Entailment. In this tenth edition, the competition included four tasks on case law and statute law. The case law component includes an information retrieval task (Task 1), and the confirmation of an entailment relation between an existing case and a selected unseen case (Task 2).
View Article and Find Full Text PDFNeural Netw
July 2024
School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, Zhejiang, PR China 310018.
Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically identify pairs of emotions and their causes from documents. The difficulty of ECPE lies in distinguishing valid emotion-cause pairs from many irrelevant ones. Most previous methods have primarily focused on utilizing multi-task learning to extract semantic information solely from documents without explicitly encoding the relations between clauses.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!