Semantic parsing is the task of map** a natural language sentence into a complete,
formal meaning representation. Over the past decade, we have developed a number of …

We present a novel statistical approach to semantic parsing, WASP, for constructing a
complete, formal meaning representation of a sentence. A semantic parser is learned given …

Conditional random fields (Lafferty et al., 2001) are quite effective at sequence labeling
tasks like shallow parsing (Sha and Pereira, 2003) and namedentity extraction (McCallum …

“Everyone knows that language is variable.” This is the bald sentence with which Sapir
(1921: 147) begins his chapter on language as an historical product. He goes on to …

Probabilistic modeling of lexicalized grammars is difficult because these grammars exploit
complicated data structures, such as typed feature structures. This prevents us from applying …

We present a stochastic parsing system consisting of a Lexical-Functional Grammar (LFG), a
constraint-based parser and a stochastic disambiguation model. We report on the results of …

The book will appeal to scholars and advanced students of morphology, syntax,
computational linguistics and natural language processing (NLP). It provides a critical and …

Alpino is a wide-coverage computational analyzer of Dutch which aims at accurate, full,
parsing of unrestricted text. We describe the head-driven lexicalized grammar and the …