Exploiting Lexical Dependencies from Large-Scale Data for Better Shift-Reduce Constituency Parsing
Code (0)
등록된 구현이 없습니다.
Tasks
Constituency ParsingSimilar Papers 제목 키워드 기반
BabelDomains: Large-Scale Domain Labeling of Lexical Resources
In this paper we present BabelDomains, a unified resource which provides lexical items with information about domains of knowledge. We propose an automatic method that uses knowledge from various lexical resources, explo…
ClusteringDomain AdaptationHypernym DiscoverySentiment Analysis+2The Return of Lexical Dependencies: Neural Lexicalized PCFGs
In this paper we demonstrate that $\textit{context free grammar (CFG) based methods for grammar induction benefit from modeling lexical dependencies}$. This contrasts to the most popular current methods for grammar induc…
Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically
We present the task of answering cloze questions automatically and how it can be tackled by exploiting lexical knowledge bases (LKBs). This task was performed in what can be seen as an indirect evaluation of Portuguese L…
Question AnsweringImproving Statistical Machine Translation with Selectional Preferences
Long-distance semantic dependencies are crucial for lexical choice in statistical machine translation. In this paper, we study semantic dependencies between verbs and their arguments by modeling selectional preferences i…
Machine TranslationSemantic Role LabelingTranslationWord Sense DisambiguationNeural Bi-Lexicalized PCFG Induction
Neural lexicalized PCFGs (L-PCFGs) have been shown effective in grammar induction. However, to reduce computational complexity, they make a strong independence assumption on the generation of the child word and thus bile…
Constituency Grammar Induction