lexical semantics


  • WordNet 3.6
    • n lexical semantics the branch of semantics that studies the meanings and relations of words
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In news:

We present an approach to building a verb lexicon compatible with WordNet but with explicitly stated syntactic and semantic information, using Levin verb classes to systematically construct lexical entries.

In science:

Figure 2: A Head-Complement Rule (simplified for expository purposes). ones are unary (lexical) rules that serve to introduce by a check for semantic content.
Interfacing Constraint-Based Grammars and Generation Algorithms
This may be due to the linguistic nature of complex terms characterized by a specific semantic and a lexical richness.
A Linguistic Model for Terminology Extraction based Conditional Random Fields
Lexical Semantic Techniques for Corpus Analysis.
Corpus Statistics Meet the Noun Compound: Some Empirical Results
Kunze’s theory of semantic emphasis (Theorie der semantischen Emphase ) is under development for the lexical entries of the text analysis pro ject kontext [Firzlaff and Haenelt, 1992].
Emphatic generation: employing the theory of semantic emphasis for text generation
According to the algorithm described in Figure 4, and due to the syntactic-head and semantic-head link relation, the lex rule can only be applied to the lexical entry for sentence (Figure 1).
A generation algorithm for f-structure representations
Semantic Kernel (SK) Information: Semantic structure completely which is predictible from the lexicon (i.e, there is at least one lexical entry which subsumes this structure).
A generation algorithm for f-structure representations
Non Semantic Kernel (Non-SK) Information: Semantic structure which is not predictible from any lexical entry (typically, lists).
A generation algorithm for f-structure representations
Vossen, P. (ed.): EuroWordNet: A Multilingual Database with Lexical Semantic Networks.
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
Explicitation This is a subcategory of semantic modification, which is assigned if the target transeme is lexically more specific than the source transeme. A clear case of explicitation is when extra information has been added to the transeme.
Building a resource for studying translation shifts
Towards a resource for lexical semantics: A large German corpus with extensive semantic annotation.
Building a resource for studying translation shifts
Bag of senses versus bag of words: comparing semantic and lexical approaches on sentence extraction.
MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report)
Otherwise when the similarity is semantic, lexical search methods must be used.
Beyond Stemming and Lemmatization: Ultra-stemming to Improve Automatic Text Summarization
Lexical ambiguity arises if some user term matches two entities within the same semantic class.
Towards a PURE Spoken Dialogue System for Information Access
Lexical semantics provides an original approach for the term spotting task. Generally speaking, the main topics addressed by a document are expressed by ambiguous words.
Inferring knowledge from a large semantic network
Research in this area has arisen out of the success of vector-based techniques for representing aspects of lexical semantics, such as latent semantic analysis (Deerwester et al., 1990) and measures of distributional similarity (Lin, 1998; Lee, 1999).
Challenges for Distributional Compositional Semantics