Two divided visual field priming experiments examined cerebral asymmetries for understanding metaphors varying in sentence constraint. Experiment 1 investigated ambiguous words (e.g., SWEET and BRIGHT) with literal and metaphoric meanings in ambiguous and unambiguous sentence contexts, while Experiment 2 involved standard metaphors (e.g., The drink you gave me was a meteor) with sententially co...

An Approach to News Paraphrase Recognition Based on SRL Xiaofeng Wu, Chengqing Zong (National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China) Abstract: Paraphrase Recognition can be regarded as a sub-problem of Text Entailment Recognition. This problem is hard in that simply using term frequency or syntax information is prone to error judgment. For even the same...

Chemical Named Entity Recognition (NER) is the basic step for consequent information extraction tasks such as named entity resolution, drug-drug interaction discovery, extraction of the names of the molecules and their properties. Improvement in the performance of such systems may affects the quality of the subsequent tasks. Chemical text from which data for named entity recognition is extracte...

We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, namely Lambek’s pregroup semantics. A key observation is that the monoidal category of (finite dimensional) vector spaces, linear maps and the tensor product, as well as any pregroup, are examples of compact closed categ...

the aim of this paper is to report on an attempt to design and implement an intelligent system capable of generating the correct part of speech for a given sentence while the sentence is totally new to the system and not stored in any database available to the system. it follows the same steps a normal individual does to provide the correct parts of speech using a natural language processor. it...

Categorical Compositional Distributional semantics (CCDS) adds compositionality to distributional semantics via a functorial passage from the syntax to the semantics of natural language [4]. Both the syntax and the semantics are represented by compact closed categories. The claim is that regardless of how complex the structure of a sentence can be and what bizarre forms the words therein can ta...

We propose a mathematical framework for a unification of the distributional theory of meaning in terms of vector space models, and a compositional theory for grammatical types, namely Lambek’s pregroup semantics. A key observation is that the monoidal category of (finite dimensional) vector spaces, linear maps and the tensor product, as well as any pregroup, are examples of compact closed categ...

Pitch movements at the boundaries of sentence-medial and final phrases in Japanese can provide a cue to the speaker's intention. For example, the phrase /Nagano-de/ ' in Nagano' can be uttered with different rising and/or falling pitch movements on the the final mora /de/ to convey meanings such as clarification, incredulity, prominence in the discourse, insistence, etc. The identification of t...