context sensitive
Efficient, Correct, Unsupervised Learning for Context Sensitive Languages
... a context like (that is, λ) will not be suf- ficient since as well as noun phrases we will also have some adjective ...a context sensitive repre- sentation, is so that we can consider every possi- ...
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Scouting Context sensitive Components
... utilize context-sensitive com- ...of context-free components can be elicited from a minimum of ...as context- sensitive components for pattern processing ...of ...
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A Comparison of Context sensitive Models for Lexical Substitution
... in context proposed by annotators in the SemEval-2007 Lexical Sub- stitution dataset are presented in Table ...specific context of ...immediate context, or having a specific syntactic ...
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Improve Statistical Machine Translation with Context Sensitive Bilingual Semantic Embedding Model
... effective context sensi- tive bilingual embedding, we extract context fea- tures nearby a focused phrase that will discrimi- nate focused phrase’s target translation from other possible ...
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UEdin: Translating L1 Phrases in L2 Context using Context Sensitive SMT
... three context similarity features de- scribed in Section ...model context. Second, each context similarity feature together with the language model context still outperforms the Baseline + LM ...
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Top Down Nearly Context Sensitive Parsing
... Section two describes previous work on this type of parser, and in particular gives details on the Roark architecture we use. Section three de- scribes how random forests allow us to integrate the diverse information ...
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Phrasenet: towards context sensitive lexical semantics
... the context may mean different things in natural language, many previous work in statistically natural language pro- cessing defined “context” as an n-word window around the target word (Gale et ...
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The Role of Connectivity in Supporting Context Sensitive Applications
... changes to underlying GUIDE protocols. In more detail, the current approach used for information dissemination and for obtaining location information relies on the network being comprised of non-overlapping cells. While ...
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A Two Level Model for Context Sensitive Inference Rules
... Various approaches have been proposed to ad- dress lexical similarity. A number of works are based on a compositional semantics approach, where a prior representation of a target lexical unit is composed with the ...
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Distributed resource discovery using a context sensitive infrastructure
... Distributed Resource Discovery in a World Wide Web environment using full-text indices will never scale. The distinct properties of WWW information (volume, rate of change, topical diversity) limits the scaleability of ...
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Design of an Object Model for a Context Sensitive Tourist Guide
... This paper describes work carried out as part of the GUIDE project at Lancaster University. The overall aim of the project is to develop a context-sensitive tourist guide for visitors to the city of ...
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Learning to Prune: Context Sensitive Pruning for Syntactic MT
... In contrast to chart pruning for monolingual parsing, our pruning decisions are based on the source context, its target translation and the map- ping between the two. This distinction is impor- tant since the ...
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Learning Text Pair Similarity with Context sensitive Autoencoders
... pairwise context-sensitive Autoencoder for computing text pair sim- ...into context-sensitive representations and uses them to compute similarity between text ...
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Mildly Context Sensitive Dependency Languages
... mildly context-sensitive ...Coupled Context-Free Grammars (Hotz and Pitsch, 1996), and that regu- lar sets of well-nested structures with a gap-degree of at most 1 are exactly the class of sets of ...
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WiC: the Word in Context Dataset for Evaluating Context Sensitive Meaning Representations
... test context-independent models, which only con- siders word pairs in isolation, on the ...a context-independent model can easily surpass the human-level performance up- ...a context-insensitive word ...
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Genetic programming with context sensitive grammars
... These systems maintain SGP's approach of representing individuals as trees, but use PTs rather than ETs. The parsing information in a PT is used by the genetic operators such as crossover to ensure that only valid ...
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A Robust Class of Context Sensitive Languages
... non- context free behaviors, and has applications in analyzing abstractions of multithreaded recursive programs, signifi- cantly enlarging the search space that can be explored for ...
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Context Sensitive Recognition for Emerging and Rare Entities
... Context models trace their roots to Shannon (1948), but have likewise seen recent attention (Pi- antadosi et al., 2011). They have been applied to both patterns of character appearance and word appearance, with ...
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Making Lexical Ontologies Functional and Context Sensitive
... functional, context-sensitive ...a context-specific corpus; and iii) a member- ship function that assigns gradated scores to these instances based on available syntagmatic ...
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Context Sensitive Electronic Dictionaries
... a context-sensitive electronic dictionary that provides transla- tions for any piece of text displayed on a computer screen, without requiring user in- ...the context of the selected word, and the ...
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