Add to ORKGWe propose and advocate the use of an advanced declarative programming paradigm – answer set programming – as a uniform platform for integrated approach towards syntax-semantic processing in natural language. We illustrate that (a) the parsing technology based on answer set programming implementation reaches performance sufficient for being a useful NLP tool, and (b) the proposed method for incorporating semantic information from FRAMENET into syntactic parsing may prove to be useful in allowing semantic-based disambiguation of syntactic structures
Two experiments investigate how lexically ambiguous input is handled by the sentence processing syst...
Research in semantic parsing has focused on developing computational systems capable of simultaneous...
For building question answering systems and natural lan-guage interfaces, semantic parsing has emerg...
Natural language expressions are often ambiguous, allowing multiple interpretations. In this note w...
Some recent works on natural language semantic parsing make use of syntax and semantics together usi...
textNatural language understanding is a sub-field of natural language processing, which builds autom...
Querying a database to retrieve an answer, telling a robot to perform an action, or teaching a comp...
Syntactic parsing is one of the best understood language processing applications. Since language and...
A controversy has existed over the interaction of syntax and semantics in natural language understan...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...
Statistical techniques have revolutionized all areas of natural language processing, and syntactic p...
Services that rely on the semantic computations of users’ natural linguistic inputs are becoming mor...
Combinatory categorial grammar (CCG) is a grammar formalism used for natural language parsing. CCG a...
L’auteur examine diverses difficultés qu’on rencontre lors de l’analyse automatique d’une langue nat...
Syntactic parsing is one of the best understood language processing applications. Since language and...
Two experiments investigate how lexically ambiguous input is handled by the sentence processing syst...
Research in semantic parsing has focused on developing computational systems capable of simultaneous...
For building question answering systems and natural lan-guage interfaces, semantic parsing has emerg...
Natural language expressions are often ambiguous, allowing multiple interpretations. In this note w...
Some recent works on natural language semantic parsing make use of syntax and semantics together usi...
textNatural language understanding is a sub-field of natural language processing, which builds autom...
Querying a database to retrieve an answer, telling a robot to perform an action, or teaching a comp...
Syntactic parsing is one of the best understood language processing applications. Since language and...
A controversy has existed over the interaction of syntax and semantics in natural language understan...
Natural Language is highly ambiguous, on every level. This article describes a fast broad-coverage s...
Statistical techniques have revolutionized all areas of natural language processing, and syntactic p...
Services that rely on the semantic computations of users’ natural linguistic inputs are becoming mor...
Combinatory categorial grammar (CCG) is a grammar formalism used for natural language parsing. CCG a...
L’auteur examine diverses difficultés qu’on rencontre lors de l’analyse automatique d’une langue nat...
Syntactic parsing is one of the best understood language processing applications. Since language and...
Two experiments investigate how lexically ambiguous input is handled by the sentence processing syst...
Research in semantic parsing has focused on developing computational systems capable of simultaneous...
For building question answering systems and natural lan-guage interfaces, semantic parsing has emerg...