نتایج جستجو برای: shallow
تعداد نتایج: 36697 فیلتر نتایج به سال:
We review approaches to the chunking and UpWriting of local descriptors.
We describe the CoNLL-2000 shared task: dividing text into syntactically related nonoverlapping groups of words, so-called text chunking. We give background information on the data sets, present a general overview of the systems that have taken part in the shared task and briefly discuss their performance.
Practice, and the performance improvement that it engenders, has long been a major topic in psychology. In this paper, both experimental and theoretical approaches are employed in an investigation of the mechanisms underlying this improvement. On the experimental side, it is argued that a single law, the power law of practice, adequately describes all of the practice data. On the theoretical si...
We present a new translation model that include undecorated hierarchical-style phrase rules, decorated source-syntax rules, and partially decorated rules. Results show an increase in translation performance of up to 0.8% BLEU for German–English translation when trained on the news-commentary corpus, using syntactic annotation from a source language parser. We also experimented with annotation f...
This paper tries to discuss the interrelation between prosody and syntax by clarifying some syntactic constraints in Chinese prosodic segmentation and grouping. The main attention will be paid to search for (1) possible correlation between prosodic breaks and syntactic construction; (2) possible correlation between prosodic breaks and POS; and (3) the role of syntactic and lexical information i...
Hierarchical or nested annotation of linguistic data often co-exists with simpler non-hierarchical or flat counterparts, a classic example being that of annotations used for parsing and chunking. In this work, we propose a general strategy for comparing across these two schemes of annotation using the concept of entailment that formalizes a correspondence between them. We use crowdsourcing to o...
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