来自 Semantic Scholar 喜欢 0 阅读量: 3 作者:Z Ma,J Pan,J Chai 摘要: The ability to connect language units to their referents in the physical world, referred to as grounding, is crucial to learning and understanding grounded meanings of words. While humans demonstrate fast mapping in new ...
For example, one student asked Mr. Martinez to connect "dinosaurs" with "food" with theword "ate." Finally, Mr. Martinez told students to add words and categories to the semantic map as they learned more about dinosaurs.McKeownKucan
Using the Metaphor Map of English database, the researchers examined more than 5,000 examples from the past millennium in which word meanings from one semantic domain, such as "water," were extended to another semantic domain, such as "mind." The authors called the original semantic domain th...
Its application to the study of ‘semantic currency’—the diffusion of knowledge of word-meanings-in a social group is illustrated, and some implications for the analysis of some aspects of the cultural structure in a community are discussed. The possibility of deriving a short test capable of...
Learning deep structured semantic models for web search using clickthrough data Latent semantic models, such as LSA, intend to map a query to its relevant documents at the semantic level where keyword-based matching often fails. In thi... PS Huang,X He,J Gao,... - Acm International Confere...
Our experimental results show that by leveraging well trained Malay and Hungarian acoustic models, we achieved 9.0% word error rate (WER) given 55 minutes of English training data. This is close to the WER of 7.9% obtained by using the full 15 hours of training data and much better than ...
Training-Free Open-Vocabulary Semantic Segmentation The model is modified from the off-the-shelf large models (e.g., CLIP, Diffusion models) without an additional training phase.Note that, the large models have already been trained with some datasets (e.g., image-caption datasets). ...
Besides the PQ metric, our approach also surpasses MaskCLIP [15] at open-vocabulary instance segmentation on ADE20K, with 8.4 points gain in mAP. ODISE's qualitative results can be found in Fig. 4 and more in the supplement. Open-Vocabulary Semantic Segmentation...
From that collection of text, the statistics of word usage will reveal “semantic stems” (actually, more useful clusters of words like lemmas or synonyms), without any hand-crafted regular expressions or stemming rules.2.2 Building your vocabulary with a tokenizer ...
来自 Semantic Scholar 喜欢 0 阅读量: 39 作者: ES Listyawardani 摘要: Listyawardani, Elok Sischa. 2013 "The Vocabulary Mastery of The Eighth Grade Students Of Smp 5 Kudus in Academic Year 2013/2014 Taught by Using Word Map". 'Skripsi' of English Education Departement; Teacher Training and...