P. Harrison

Publications26
h-index13
Citations1,133
Highly Influential Citations75
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A Procedure for Quantitatively Comparing the Syntactic Coverage of English Grammars
The problem of quantitatively comparing the performance of different broad-coverage grammars of English has to date resisted solution. Prima facie, known English grammars appear to disagree strongly…
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Large-scale extraction and use of knowledge from text
TLDR
This work has created a new, publically available knowledge resource for language processing and other data interpretation tasks, and provides empirical evidence of the utility of this type of knowledge, going beyond Schubert et al's earlier evaluations which were based solely on human inspection of its contents.
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A study of the knowledge base requirements for passing an elementary science test
TLDR
The analysis suggests that as well as fact extraction from text and statistically driven rule extraction, three other styles of automatic knowledge base construction (AKBC) would be useful: acquiring definitional knowledge, direct 'reading' of rules from texts that state them, and, given a particular representational framework, acquisition of specific instances of those models from text.
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Capturing and answering questions posed to a knowledge-based system
TLDR
A controlled language interface, in which users reformulate the original natural language questions in a simplified version of English, and a novel problem solver that can elaborate initially inadequate logical interpretations of a question by selecting relevant pieces of knowledge in the knowledge base are presented.
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Acquiring and Using World Knowledge Using a Restricted Subset of English
TLDR
The claim is that this approach hits a “sweet spot” between the former two extremes, being both usable by humans and understandable by machines, and the strengths and weaknesses of restricted natural language as the basis for knowledge representation.
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On the Role of Lexical and World Knowledge in RTE3
TLDR
An analysis of a sample of the RTE3 positive entailment pairs is presented, to identify where and what kinds of world knowledge are needed to fully identify and justify the entailment, and several existing resources and their capacity for supplying that knowledge are discussed.
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Recognizing Textual Entailment with Logical Inference
TLDR
The system performs semantic interpretation of sentence pairs and tries to determine if the (logic for) the H sentence subsumes some inference-elaborated version of the T sentence, using WordNet and the DIRT paraphrase database as its sources of knowledge.
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A knowledge-driven approach to text meaning processing
TLDR
This paper describes the ongoing investigations to develop the approach to meaning processing fundamentally as a modeling activity, in which a knowledge base of common-sense expectations guides interpretation of text, and text suggests which parts of the knowledge base might be relevant.
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Using Bracketed Parses to evaluate a Grammar Checking Application
TLDR
A method for evaluating a grammar checking application with hand-bracketed parses and a comparison of the resulting error reports illuminates the relationship between the underlying performance of the parser-grammar system and the error critiques presented to the user.
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Naturalness vs. Predictability: A Key Debate in Controlled Languages
TLDR
It is suggested that a synthesis can be made in which a deterministic core is embedded in a naturalist CL, and illustrated this with the authors' own controlled language CPL.
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