Removing ambiguity when analyzing a sentence with a word having multiple meaningsA language processing device includes first analysis unit that subjects a natural language sentence containing a polysemic word an
By using imperative and interrogative sentences like ‘Close the window!’ and ‘Is the window closed?’ we don't describe an actual state of affairs, but rather make a command or ask a question in order to influence the behavior of our interlocutors. But, as pointed out by Austin, even...
According to two-stage theories, the sentence processor initially adopts a single analysis using only a restricted range of information. In contrast, constraint-based theories claim that multiple analyses of a syntactic ambiguity are activated in parallel and that the processor immediately uses all ...
level attacks substantially include inserting distractive word sequence [16], e.g., phrase or sentence, to original input, or rephrasing the original sentence [17] using a generative model for disturbing the result, but the original semantics are hard to remain under such perturbations. Textual a...
Based on these two vectors they predicted MEG activity before, during and after the presentation of each word using a linear regression. Their results show that before the presentation of a word in a sentence context, the context representation predicts MEG activity. Shortly after the presentation ...
They were instructed to respond to all trials as quickly and accurately as possible by using the right index finger for a yes response in SCon and WCon conditions and using the right middle finger for a no response in the InCon condition. Children were asked to press the yes button with ...
1. Sentences with “是” This sentence structure has the verb “是” (to be) as the key predicate. The negative form is “不” before “是”. Subject +是 + Other Elements e.g. 他是老师。(Tā shì lǎoshī.) He is teacher. ...
One way to solve this is using Hierarchical Structured Network. First, we split the document into several sentences. Then we learn each sentence representation from word representation with an encoder such as CNN or RNN. Afterwards, we use another encoder to adaptively encode semantics of sentences...
With the continuous development and application of SFT, there is an urgent need to build a benchmark dataset using SFT to generate semantic grids for evaluating and comparing the effectiveness and reliability of this method. Our study combines the construction of a semantic text-division dataset ...
When "fair" is used as an adjective, it can have multiple meanings, including pleasing in appearance, unbiased, or light tone complexion. Some phrases that use "fair" as an adjective include Fair skin Fair hair A fair decision A fair person When "fair" is used as an adverb, it can mea...