Searching for authors named "Alexander Yates" – sorted by Relevance.
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Information Extraction from the Web: Techniques and Applications
- Web Information Extraction (WIE) systems have recently been able to extract massive quantities of relational data from online text. This has opened the possibility of achieving an elusive goal in Artificial Intelligence (AI): broad-coverage domain knowledge. AI systems depend to a great extent on ha
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A Reliable Natural Language Interface to Household Appliances
- “I have always wished that my computer would be as easy to use as my telephone. My wish has come true. I no longer know how to use my telephone.” – Bjarne Stroustrop (originator of C++) As household appliances grow in complexity and sophistication, they become harder and harder to use, particularly
- Cited by 15 (2 self) – Add To MetaCart
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Unsupervised Resolution of Objects and Relations on the Web
- The task of identifying synonymous relations and objects, or Synonym Resolution (SR), is critical for high-quality information extraction. The bulk of previous SR work assumed strong domain knowledge or hand-tagged training examples. This paper investigates SR in the context of unsupervised informat
- Cited by 3 (2 self) – Add To MetaCart
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Class Extraction from the World Wide Web
- In previous work we introduced KNOWITALL a data-driven, Web-based information extraction system. This paper focuses on the task of automatically extending the system’s initial ontology by extracting subclasses of given general classes and by discovering other closely related classes. We first show t
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Detecting parser errors using Web-based semantic filters
- NLP systems for tasks such as question answering and information extraction typically rely on statistical parsers. But the efficacy of such parsers can be surprisingly low, particularly for sentences drawn from heterogeneous corpora such as the Web. We have observed that incorrect parses often resul
- Cited by 1 (1 self) – Add To MetaCart
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A Reliable Natural Language Interface
- As household appliances grow in complexity and sophistication, they become harder and harder to use, particularly because of their tiny display screens and limited keyboards. This paper describes a strategy for building natural language interfaces to appliances that circumvents these problems. Our a
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Modern natural language interfaces to databases: Composing statistical parsing with semantic tractability
- Natural Language Interfaces to Databases (NLIs) can benefit from the advances in statistical parsing over the last fifteen years or so. However, statistical parsers require training on a massive, labeled corpus, and manually creating such a corpus for each database is prohibitively expensive. To add
- Cited by 18 (1 self) – Add To MetaCart
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To buy or not to buy: mining airfare data to minimize ticket purchase price
- As product prices become increasingly available on the World Wide Web, consumers attempt to understand how corporations vary these prices over time. However, corporations change prices based on proprietary algorithms and hidden variables (e.g., the number of unsold seats on a flight). Is it possible
- Cited by 7 (1 self) – Add To MetaCart
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Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison
- Our KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an autonomous, domain-independent, and scalable manner. In its first
- Cited by 32 (6 self) – Add To MetaCart
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Web-Scale Information Extraction in KnowItAll
- Manually querying search engines in order to accumulate a large body of factual information is a tedious, error-prone process of piecemeal search. Search engines retrieve and rank potentially relevant documents for human perusal, but do not extract facts, assess confidence, or fuse information from
- Cited by 43 (4 self) – Add To MetaCart

