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In this study, the linear-chain CRF was employed to recognize sequentially the boundaries of chemical entities moving from the first token to the final token of a tokenized sentence.
Using these features, the MEMM model assigns a chemical token as being either the first token in a named entity or a subsequent token in a named entity.
To facilitate this, we used a pattern to identify tokens consisting of a sequence of element symbols, such as "FCH," the first token in the formula "FCH2CH2N3".
In this way, Civil hoped to be perhaps the first token crowdsale to legitimately demonstrate a so-called "utility token" exclusion from potentially applicable securities laws.
The computation starts with the first token x 1, whose score for each tag u is simply the sum of the tag transition score from the sentence beginning to u and the neural network output for u. s(x_{1}, u) = f_{u}(x_{1}) + A_{0, u}.
The logadd in the first token is then trivially resolved to the score itself: begin{aligned} text{logadd}_{k} sleft(x_{1}, uright) &= log sum_{t=1}^{1} e^{sleft(x_{t}, j_{t}right)} &= log e^{sleft(x_{1}, uright)} &= sleft(x_{1}, right).
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In terms of F1, the fourth token of each syllable, namely /dit/4, /dIt/4, and /dut/4, had values that fell within one standard deviation of those reported earlier (Curtin et al. 2009), while those for /dUt/4 where identical to /dIt/4 for F1 and to /dut/4 for F2.
The company's first token is TrueUSD, a stablecoin that is redeemable one-to-one for U.S. dollars.
Put the number token with the letter "A" on one of the edge terrain hexes, put the token with the letter "B" to the right of the first placed token, and continue on putting down tokens in alphabetical order in a clockwise fashion until you have reached the center.
For the first step, when no information other than the initial GO token is present, the distribution is an approximation of the distribution of first tokens for the SMILES in the ChEMBL training set.
Our system splits all entries of GeoNames into contiguous sequences of tokens and then clusters them according to the first two letters of their first token.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com