Proceedings ArticleDOI
Distributional part-of-speech tagging
Hinrich Schütze
- pp 141-148
Reads0
Chats0
TLDR
The authors presented an algorithm for tagging words whose part-of-speech properties are unknown, which categorizes word tokens in context instead of word types, and evaluated on the Brown Corpus.Abstract:
This paper presents an algorithm for tagging words whose part-of-speech properties are unknown. Unlike previous work, the algorithm categorizes word tokens in context instead of word types. The algorithm is evaluated on the Brown Corpus.read more
Citations
More filters
Journal Article
Natural Language Processing (Almost) from Scratch
TL;DR: A unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and semantic role labeling is proposed.
Patent
Intelligent Automated Assistant
Thomas R. Gruber,Adam Cheyer,Dag Kittlaus,Didier Rene Guzzoni,Christopher Dean Brigham,Richard Donald Giuli,Marcello Bastea-Forte,Harry J. Saddler +7 more
TL;DR: In this article, an intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions.
Patent
Using context information to facilitate processing of commands in a virtual assistant
TL;DR: In this article, a virtual assistant uses context information to supplement natural language or gestural input from a user, which helps to clarify the user's intent and reduce the number of candidate interpretations of user's input, and reduces the need for the user to provide excessive clarification input.
Proceedings ArticleDOI
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency
Dan Klein,Christopher D. Manning +1 more
TL;DR: This work presents a generative model for the unsupervised learning of dependency structures and describes the multiplicative combination of this dependency model with a model of linear constituency that works and is robust cross-linguistically.
Patent
Method and apparatus for building an intelligent automated assistant
Adam Cheyer,Didier Rene Guzzoni +1 more
TL;DR: In this paper, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontologies includes at least one active processing element that models a domain.
References
More filters
Journal ArticleDOI
Finding Structure in Time
TL;DR: A proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory and suggests a method for representing lexical categories and the type/token distinction is developed.
Journal ArticleDOI
Scatter/Gather: a cluster-based approach to browsing large document collections
TL;DR: A document browsing technique that employs docum-ent clustering as its primary operation is presented and a fast (linear time) clustering algorithm is presented that provides a powerful new access paradigm.
Journal ArticleDOI
Frequency Analysis of English Usage: Lexicon and Grammar. By W. Nelson Francis and Henry Kučera with the assistance of Andrew W. Mackie. Boston: Houghton Mifflin. 1982. x + 561:
Book ChapterDOI
Parsing By Chunks
TL;DR: The typical chunk consists of a single content word surrounded by a constellation of function words, matching a fixed template, and the relationships between chunks are mediated more by lexical selection than by rigid templates.
Proceedings ArticleDOI
A stochastic parts program and noun phrase parser for unrestricted text
TL;DR: A program that tags each word in an input sentence with the most likely part of speech has been written and performance is encouraging; a 400-word sample is presented and is judged to be 99.5% correct.