Automated Discovery of WordNet Relations
By Marti A. Hearst. 2004
359 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/364d793a1d268e94f30d96a5da77d7ee49eb1d09
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Prodromos Malakasiotis
- Ion Androutsopoulos
- Eugene Agichtein
- Lenhart K. Schubert
- Roxana Girju
- Silviu Cucerzan
- Matthew H Tong
- Oren Etzioni
In Computational Theory and Mathematics
- Eugene Agichtein
- Ion Androutsopoulos
- Prodromos Malakasiotis
- Lenhart K. Schubert
- Roxana Girju
- Silviu Cucerzan
- Matthew H Tong
Citations in the corpus
- Factoid Question Answering over Unstructured and Structured Web Content (2005, methodology): “Additional hypernym patterns, for example, similar to those employed by Hearst [7], could be used.”
- A Survey of Paraphrasing and Textual Entailment Methods (2009, background): “uce pairs of sentences (or sentence templates) or pairs of shorter expressions. Methods to discover synonyms, hypernymhyponym pairs or, more generally, entailment relations between words (Lin, 1998a; Hearst, 1998; Moore, 2001; Glickman & Dagan, 2004; Brockett & Dolan, 2005; Hashimoto, Torisa”
- Automatic Detection of Causal Relations for Question Answering (2003, methodology): “In order to catch the most frequently used lexico-syntactic patterns referring to causation, we used the following procedure (Hearst 1998): Discoveryoflexico-syntacticpatterns: Input: semantic relation R Output: lexico-syntactic patterns expressing R S TEP 1.”
- Extracting and evaluating general world knowledge from the Brown Corpus (2003, background): “, (muc, 1993; muc, 1995; muc, 1998; Berland and Charniak, 1999; Clark and Weir, 1999; Hearst, 1998; Riloff and Jones, 1999)) and in discovery of selectional preferences (e.”