A survey of syntactic-semantic parsing based on constituent and dependency structures
MS Zhang - Science China Technological Sciences, 2020 - Springer
Syntactic and semantic parsing has been investigated for decades, which is one primary
topic in the natural language processing community. This article aims for a brief survey on …
topic in the natural language processing community. This article aims for a brief survey on …
Frame-semantic parsing
Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model …
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model …
[PDF][PDF] Probabilistic frame-semantic parsing
This paper contributes a formalization of frame-semantic parsing as a structure prediction
problem and describes an implemented parser that transforms an English sentence into a …
problem and describes an implemented parser that transforms an English sentence into a …
Semantic role labeling: an introduction to the special issue
Semantic role labeling, the computational identification and labeling of arguments in text,
has become a leading task in computational linguistics today. Although the issues for this …
has become a leading task in computational linguistics today. Although the issues for this …
A Comprehensive Overview of CFN From a Commonsense Perspective
Chinese FrameNet (CFN) is a scenario commonsense knowledge base (CKB) that plays an
important role in research on Chinese language understanding. It is based on the theory of …
important role in research on Chinese language understanding. It is based on the theory of …
Spatial role labeling: Towards extraction of spatial relations from natural language
P Kordjamshidi, M Van Otterlo, MF Moens - ACM Transactions on …, 2011 - dl.acm.org
This article reports on the novel task of spatial role labeling in natural language text. It
proposes machine learning methods to extract spatial roles and their relations. This work …
proposes machine learning methods to extract spatial roles and their relations. This work …
Learning joint semantic parsers from disjoint data
We present a new approach to learning semantic parsers from multiple datasets, even when
the target semantic formalisms are drastically different, and the underlying corpora do not …
the target semantic formalisms are drastically different, and the underlying corpora do not …
[PDF][PDF] Semi-supervised frame-semantic parsing for unknown predicates
We describe a new approach to disambiguating semantic frames evoked by lexical
predicates previously unseen in a lexicon or annotated data. Our approach makes use of …
predicates previously unseen in a lexicon or annotated data. Our approach makes use of …
A joint sequential and relational model for frame-semantic parsing
B Yang, T Mitchell - Proceedings of the 2017 conference on …, 2017 - aclanthology.org
We introduce a new method for frame-semantic parsing that significantly improves the prior
state of the art. Our model leverages the advantages of a deep bidirectional LSTM network …
state of the art. Our model leverages the advantages of a deep bidirectional LSTM network …
Distilling task knowledge from how-to communities
Knowledge graphs have become a fundamental asset for search engines. A fair amount of
user queries seek information on problem-solving tasks such as building a fence or …
user queries seek information on problem-solving tasks such as building a fence or …