Abstract
A Text-Based Intelligent System should provide more in-depth information about the contents of its corpus than does a standard information retrieval system, while at the same time avoiding the complexity and resource-consuming behavior of detailed text understanders. Instead of focusing on discovering documents that pertain to some topic of interest to the user, an approach is introduced based on the criterion of directionality (e.g., Is the agent in favor of, neutral, or opposed to the event?). A method is described for coercing sentence meanings into a metaphoric model such that the only semantic interpretation needed in order to determine the directionality of a sentence is done with respect to the model. This interpretation method is designed to be an integrated component of a hybrid information access system. 1 Introduction In the light of the increasing availability of computer-accessible full text, an important goal of a Text-Based Intelligent System is to provide a me...
Keywords
Interpretation (philosophy)Computer scienceSentenceNatural language processingArtificial intelligenceEvent (particle physics)Semantic interpretationComponent (thermodynamics)Information retrievalResource (disambiguation)Programming language
Affiliated Institutions
Related Publications
Skip-Thought Vectors
We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tri...
Natural Language Processing with Python
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filt...
A Survey on Deep Learning for Named Entity Recognition
Named entity recognition (NER) is the task to identify mentions of rigid designators from text belonging to predefined semantic types such as person, location, organization etc....
Effects of adjective orientation and gradability on sentence subjectivity
Subjectivity is a pragmatic, sentence-level feature that has important implications for text processing applications such as information extraction and information retrieval. We...
Learning Subjective Adjectives from Corpora
Subjectivity tagging is distinguishing sentences used to present opinions and evaluations from sentences used to objectively present factual information. There are numerous appl...
Publication Info
- Year
- 1992
- Type
- book
- Pages
- 257-274
- Citations
- 135
- Access
- Closed
External Links
Citation Metrics
135
OpenAlex
Cite This
Marti A. Hearst
(1992).
Direction-based text interpretation as an information access refinement.
, 257-274.