Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
نویسندگان
چکیده
منابع مشابه
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
The success of long short-term memory (LSTM) neural networks in language processing is typically attributed to their ability to capture long-distance statistical regularities. Linguistic regularities are often sensitive to syntactic structure; can such dependencies be captured by LSTMs, which do not have explicit structural representations? We begin addressing this question using number agreeme...
متن کاملFrom Universal Dependencies to Abstract Syntax
Abstract syntax is a tectogrammatical tree representation, which can be shared between languages. It is used for programming languages in compilers, and has been adapted to natural languages in GF (Grammatical Framework). Recent work has shown how GF trees can be converted to UD trees, making it possible to generate parallel synthetic treebanks for those 30 languages that are currently covered ...
متن کاملthe differential effects of debate and media analysis as relate to enhancing efl learners critical thinking ability and writing performances
critical thinking ability has an important role in education. accordingly, scholars around the world are searching for new ways for teaching and improving students critical thinking ability. in line with the studies in efl contexts supporting the positive relationship between critical thinking and writing performances, this study investigated the differential effects of halverson’s critical thi...
15 صفحه اولUsing Semantic Cues to Learn Syntax
We present a method for dependency grammar induction that utilizes sparse annotations of semantic relations. This induction set-up is attractive because such annotations provide useful clues about the underlying syntactic structure, and they are readily available in many domains (e.g., info-boxes and HTML markup). Our method is based on the intuition that syntactic realizations of the same sema...
متن کاملChildren use syntax to learn verb meanings.
Verb learning is clearly a function of observation of real-world contingencies; however, it is argued that such observational information is insufficient to account fully for vocabulary acquisition. This paper provides an experimental validation of Landau & Gleitman's (1985) syntactic bootstrapping procedure; namely, that children may use syntactic information to learn new verbs. Pairs of actio...
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: Transactions of the Association for Computational Linguistics
سال: 2016
ISSN: 2307-387X
DOI: 10.1162/tacl_a_00115