Analyzing Compositionality-Sensitivity of NLI Models
نویسندگان
چکیده
منابع مشابه
Paraphrase-Supervised Models of Compositionality
Compositional vector space models of meaning promise new solutions to stubborn language understanding problems. This paper makes two contributions toward this end: (i) it uses automaticallyextracted paraphrase examples as a source of supervision for training compositional models, replacing previous work which relied on manual annotations used for the same purpose, and (ii) develops a contextawa...
متن کاملCompositionality and Biologically Plausible Models
The breadth of this handbook demonstrates the diversity of approaches to compositionality that characterize current research. Understanding how structured representations are formed and manipulated has been a long-standing challenge for those investigating the complexities of cognition. Fodor and Pylyshyn (1988) and Jackendoff (2002) have provided detailed discussions of the problems faced by a...
متن کاملExploring phrase-compositionality in skip-gram models
In this paper, we introduce a variation of the skip-gram model which jointly learns distributed word vector representations and their way of composing to form phrase embeddings. In particular, we propose a learning procedure that incorporates a phrasecompositionality function which can capture how we want to compose phrases vectors from their component word vectors. Our experiments show improve...
متن کاملAnalyzing the Relationship between Ethical Orientation with Intensity and Sensitivity
Background: Ethical orientation as a guide to the formation of individual beliefs and attitudes in dealing with ethical dilemmas can influence the of auditors' decision-making. Hence, in this research, the relationship between ethical orientations and the ethical sensitivity and moral intensity of auditors is examined. Method: The method of this research is descriptive survey. The statistical p...
متن کاملCompositionality, stochasticity, and cooperativity in dynamic models of gene regulation.
We present an approach for constructing dynamic models for the simulation of gene regulatory networks from simple computational elements. Each element is called a "gene gate" and defines an inputoutput relationship corresponding to the binding and production of transcription factors. The proposed reaction kinetics of the gene gates can be mapped onto stochastic processes and the standard ordina...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2019
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v33i01.33016867