Predication
By Walter Kintsch. 2001
663 citations recorded by the source corpus.
Subfields: Artificial Intelligence
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
- Marco Baroni
- Alessandro Lenci
- Mirella Lapata
- K. Erk
- Aurélie Herbelot
- Dimitri Kartsaklis
- Jeff Mitchell
- Chris Biemann
Citations in the corpus
- A Structured Vector Space Model for Word Meaning in Context (2008, methodology): “There have been several approaches in the literature (Smolensky, 1990; Sch ¨ utze, 1998; Kintsch, 2001; McDonald and Brew, 2004; Mitchell and La-pata, 2008) that compute meaning in context from lemma vectors.”
- Domain and Function: A Dual-Space Model of Semantic Relations and Compositions (2012, background): “Kintsch (2001) proposes a variation of additive composition in which c is the sum of a, b, and selected neighbours ni of a and b, c = a+b+ ∑ i ni.”
- Latent semantic analysis (2004, background): “• LSA can even interpret metaphors like, “My lawyer is a shark” (see Kintsch, 2001).”
- The Explicit Syntax of Implicit Arguments (2010, background): “2 Notice, incidentally, that the contrasts in (9)–(11) provide a compelling argument against the view that obligatory control (OC) reduces to predication (Bach 1979, Williams 1980, Chierchia 1984, 1989, Dowty 1985, Clark 1990).”
- Comprehension of reflexive and personal pronouns in children with autism: A syntactic or pragmatic deficit? (2012, background): “First, should the existence of this linear rule be interpreted to mean that the child with autism is completely missing the hierarchical rule of c-command? Second, why do our participants (with the exception of three children, as reported earlier) interpret CP sentences correctly?10 C-command is a s”
- Depictive secondary predicates in crosslinguistic perspective (2004, background): “The predicative relation between controller and depictive is represented by co-indexing, just like the relation between the subject and the main predicate (an analysis pioneered by Williams 1980).”
- Vector Space Models of Word Meaning and Phrase Meaning: A Survey (2012, background): “The vector is then modified to fit a particular sentence context (Landauer and Dumais 1997; Kintsch 2001; Mitchell and Lapata 2008; Erk and Padó 2008; Thater et al. 2009, 2010, 2011; Van de Cruys et al. 2011).”
- Distributional Models of Word Meaning (2018, background): “The simplest form of vector combination is vector addition (Landauer & Dumais 1997) or some extension thereof (Kintsch 2001).”
- What do we mean by prediction in language comprehension? (2015, methodology): “…within the internal representation of context, approximating to a “bag of words” (quantified using measures like latent semantic analysis, Kintsch, 2001; Landauer & Dumais, 1997; Landauer, Foltz, & Laham, 1998), could interact with lexico-semantic relationships stored within longterm…”
- A Comparison of Vector-based Representations for Semantic Composition (2012, methodology): “Assuming that composition is a linear function of the Cartesian product of u and v allows to specify additive models which are by far the most common method of vector combination in the literature (Landauer and Dumais, 1997; Foltz et al., 1998; Kintsch, 2001).”
- Representing words as regions in vector space (2009, background): “Kintsch (2001) and Mitchell and Lapata (2008) combine the target’s type vector with that of a single word in the target’s syntactic context.”
- Distributional semantics in linguistic and cognitive research (2008, methodology): “…polysemy in verbs: contextualized distributional approach to argument seman-tics’) apply the DH within the theory of the Generative Lexicon (GL; Pustejovsky 1995, 2001), and provide interesting examples of the advantages of using the DH in close cooperation with a solid theory of lexical semantics.”
- The Configurational Matrix (2002, methodology): “requires c-command (Williams 1980), as shown by the Dutch depictives below.”