Results 61 to 70 of about 192,464 (184)
Quantitative Biology, Volume 14, Issue 1, March 2026.Abstract Predicting drug–target affinity (DTA) is critical for discovering and developing hepatoprotective agents that can prevent and treat liver diseases. In this study, we propose BiGraph‐DTA, a new predictive model for identifying DTA score prediction for hepatoprotective compounds by combining graph convolutional networks and bidirectional long ...
Arief Sartono +4 more
wiley +1 more source
, 2018 We examine the problem of question answering over knowledge graphs, focusing on simple questions that can be answered by the lookup of a single fact. Adopting a straightforward decomposition of the problem into entity detection, entity linking, relation ...
Lin, Jimmy, Mohammed, Salman, Shi, Peng
core +1 more source
Three Generative, Lexicalised Models for Statistical Parsing
, 1997 In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilistic treatment of both subcategorisation and wh-movement.
Collins, Michael
core +5 more sources
Preparing, restructuring, and augmenting a French treebank: lexicalised parsers or coherent treebanks? [PDF]
, 2007 We present the Modified French Treebank (MFT), a completely revamped French Treebank, derived from the Paris 7 Treebank (P7T), which is cleaner, more coherent, has several transformed structures, and introduces new linguistic analyses.
Schluter, Natalie, van Genabith, Josef
core
, 2004 A grammar formalism based upon CHR is proposed analogously to the way Definite Clause Grammars are defined and implemented on top of Prolog. These grammars execute as robust bottom-up parsers with an inherent treatment of ambiguity and a high flexibility
Christiansen, Henning
core
Can Subcategorisation Probabilities Help a Statistical Parser?
, 1998 Research into the automatic acquisition of lexical information from corpora is starting to produce large-scale computational lexicons containing data on the relative frequencies of subcategorisation alternatives for individual verbal predicates. However,
Briscoe, Ted +2 more
core +1 more source
Conference on Object-Oriented Programming Systems, Languages, and Applications, 2009 L. Kats +3 more
semanticscholar +1 more source
Machine Learning-Based Prediction of Elekta MLC Motion with Dosimetric Validation for Virtual Patient-Specific QA. [PDF]
Bioengineering (Basel)Min BJ, Yoo GS, Yoo SH, Kim WD.
europepmc +1 more source