Wu Z J,Yu Z T,Guo J Y,et al.Fusion of long distancedependency features for chinese named entity recognitionbased on Markov logic networks[G]//Natural Language Processing and Chinese Computing.Berlin:Springer,2012:132-142.Wu ZJ,Yu ZT,Guo JY,Mao CL,Zhang YM.Fusion of long distance ...
网络长距离依存;远距离的依存关系 网络释义
There is a wealth of evidence showing that increasing the distance between an argument and its head leads to more processing effort, namely, locality effects; these are usually associated with constraints in working memory (DLT: Gibson, 2000; activation-based model: Lewis and Vasishth, 2005). In...
Instead of employing the standard full self-attention, we combine the local sliding window attention and the global task motivated full attention to capture the long-distance dependency. To the best of our knowledge, Lawformer is the first legal pre-trained language model, which can process the ...
We propose a robust, hybrid, deep-syntactic dependency-based parser and present its implementation and evaluation. The parser is designed to keep search-spaces small without compromising much on the linguistic performance or adequacy. The resulting parser is deep-syntactic like a formal grammar-based...
Hybrid long-distance functional dependency parsing This thesis proposes a robust, hybrid, deep-syntatic dependency-based parsing architecture and presents its implementation and evaluation. The architecture... G Schneider - https://www.svh-verlag.de 被引量: 87发表: 2008年 On the grammar of extract...
For LLM-as-judge in short and long dependency QA, summarization task (eg. short dependency QA): python Evaluation/llm_eval.py --model_name chatglm2-6b-32k --task shortdep_qa Besides the parameters specifying the --model_name and --task, we provide --eval_metric for users to choose ...
we append an alignable prompt bucket on the clip-caption similarity matrix to filter out the irrelevant clips or captions. By applying Sinkhorn iterations on the clip-caption similarity matrix, we effectively tackle the asynchronous problem and obtain the optimal transport distance as the video-paragra...
Be aware that the distance between the language probabilities is dependent on the length of the input text. The longer the input text, the larger the distance between the languages. So if you want to classify very short text phrases, do not set the minimum relative distance too high. ...
EPSP rise time is used as a correlate of the average contact distance from soma for comparison with Sjöström and Häusser36 (in vitro; includes also connections between L5-TTPCs and those acquired via extracellular presynaptic stimulation). Circles represent individual experiments, while solid ...