Search results
Results from the WOW.Com Content Network
Sentence extraction is a technique used for automatic summarization of a text. In this shallow approach, statistical heuristics are used to identify the most salient sentences of a text. Sentence extraction is a low-cost approach compared to more knowledge-intensive deeper approaches which require additional knowledge bases such as ontologies ...
Harris expanded on Bloomfield's distributional analysis by providing a more formal approach to syntactic structure, specifically in English sentence analysis. In the 1940s and 1950s, Harris introduced the concept of immediate constituents as the parts of a sentence that can be directly combined to form larger units, such as noun phrases (NPs ...
BERT pioneered an approach involving the use of a dedicated [CLS] token prepended to the beginning of each sentence inputted into the model; the final hidden state vector of this token encodes information about the sentence and can be fine-tuned for use in sentence classification tasks. In practice however, BERT's sentence embedding with the ...
In the past, feature-based classifiers were also common, with features chosen from part-of-speech tags, sentence position, morphological information, etc. This is an O ( n ) {\displaystyle O(n)} greedy algorithm, so it does not guarantee the best possible parse or even a necessarily valid parse, but it is efficient. [ 21 ]
The import and export of data is the automated or semi-automated input and output of data sets between different software applications.It involves "translating" from the format used in one application into that used by another, where such translation is accomplished automatically via machine processes, such as transcoding, data transformation, and others.
Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another ...
A modular view of sentence processing assumes that each factor involved in sentence processing is computed in its own module, which has limited means of communication with the other modules. For example, syntactic analysis creation takes place without input from semantic analysis or context-dependent information, which are processed separately.
An example of a word-based translation system is the freely available GIZA++ package , which includes the training program for IBM models and HMM model and Model 6. [7] The word-based translation is not widely used today; phrase-based systems are more common. Most phrase-based systems are still using GIZA++ to align the corpus [citation needed].