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標(biāo)題: Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1997 Plenum Press, New York 1997 agricultural eco [打印本頁]

作者: 譴責(zé)    時(shí)間: 2025-3-21 18:11
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作者: 責(zé)怪    時(shí)間: 2025-3-21 22:09

作者: 上流社會(huì)    時(shí)間: 2025-3-22 04:06
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作者: Apraxia    時(shí)間: 2025-3-22 08:13
ted answers over time. Thus, the answer selection component plays an important role in a cQA system, which ranks the relevant answers to the given question. With the development of this area, problems of noise prevalence and data sparsity become more tough. In our paper, we consider the task of answ
作者: 不能仁慈    時(shí)間: 2025-3-22 12:07
ted answers over time. Thus, the answer selection component plays an important role in a cQA system, which ranks the relevant answers to the given question. With the development of this area, problems of noise prevalence and data sparsity become more tough. In our paper, we consider the task of answ
作者: miracle    時(shí)間: 2025-3-22 15:38
Wade H. Shaferions in information extraction. Following this trend, recent studies go deeper into learning fine-grained extra-propositional structures, such as negation and speculation. However, most of elaborately-designed experiments reveal that existing extra-proposition models either fail to learn from the co
作者: 小卷發(fā)    時(shí)間: 2025-3-22 19:51

作者: PACK    時(shí)間: 2025-3-22 22:28
Wade H. Shaferions in information extraction. Following this trend, recent studies go deeper into learning fine-grained extra-propositional structures, such as negation and speculation. However, most of elaborately-designed experiments reveal that existing extra-proposition models either fail to learn from the co
作者: Harpoon    時(shí)間: 2025-3-23 02:24

作者: 付出    時(shí)間: 2025-3-23 06:01
Wade H. Shaferoposed and have achieved certain success. However, due to the scale limitation of corpus, outstanding performance still depends on additional features. Different from previous neural studies employing simple flat word level EDU (Elementary Discourse Unit) representation, we improve the performance o
作者: 外向者    時(shí)間: 2025-3-23 10:12
Wade H. Shaferl language understanding, reasoning and generation. However, in previous studies: 1) Only explicit propositions are concerned, while most propositions in texts are implicit; 2) Only detect whether it is a proposition, but it is more meaningful to identify which proposition type it belongs to; 3) Onl
作者: Scintigraphy    時(shí)間: 2025-3-23 15:44
Wade H. Shaferl language understanding, reasoning and generation. However, in previous studies: 1) Only explicit propositions are concerned, while most propositions in texts are implicit; 2) Only detect whether it is a proposition, but it is more meaningful to identify which proposition type it belongs to; 3) Onl
作者: 頑固    時(shí)間: 2025-3-23 21:02

作者: 整體    時(shí)間: 2025-3-23 23:45

作者: 褲子    時(shí)間: 2025-3-24 04:03
Wade H. Shafers unclear whether CLWE models tuned for different corpora alignment can perform well across NLP tasks. Previous researches have shown that unsupervised CLWE tends to make words have close word embedding distributions with similar syntactic but opposite sentiment polarity, leading to poor performance
作者: Visual-Field    時(shí)間: 2025-3-24 08:17

作者: 虛構(gòu)的東西    時(shí)間: 2025-3-24 10:57
Wade H. Shaferrt for the process of constructing a domain model. The problem is that it is hard to extract the relevant concepts from natural language texts since these typically include many irrelevant details that are hard to discern from relevant concepts. In this paper, we propose an alternative approach to e
作者: 進(jìn)步    時(shí)間: 2025-3-24 15:44
Wade H. Shaferal standard for functional size measurement, provides an objective method of measuring the functional size of the software from user requirements. COSMIC requires the user requirements to be written at a level of granularity, where interactions between the internal and the external environments to t
作者: 半球    時(shí)間: 2025-3-24 20:29

作者: Ledger    時(shí)間: 2025-3-25 02:24
Wade H. Shaferfor tasks such as text classification is still an active research topic. One approach is to weight the terms in a text document based on their relevance to the classification task at hand. Another approach is to utilise structural information in a text document to regularize learning so that the lea
作者: 冒煙    時(shí)間: 2025-3-25 04:03
Wade H. ShaferLP techniques to improve the quality of the produced summaries. The study reported in this paper seeks to establish whether Anaphora Resolution (AR) can improve the quality of generated summaries, and to assess whether AR has the same impact on text from different subject domains. Summarisation eval
作者: 大洪水    時(shí)間: 2025-3-25 09:06
Wade H. Shafericularly to Question Answering (QA). Indeed, Passage Retrieval (PR) is a longstanding problem in QA, that has been widely studied over the last decades and still requires further efforts in order to enable a user to have a better chance to find a relevant answer to his human natural language questio
作者: Enzyme    時(shí)間: 2025-3-25 13:12
Wade H. Shafergoal of our work is to semantically enrich raw data by linking the mentions of named entities in the text to the corresponding known entities in knowledge bases. In our approach multiple aspects are considered: the prior knowledge of an entity in Wikipedia (i.e. the keyphraseness and commonness feat
作者: inquisitive    時(shí)間: 2025-3-25 19:25
Book 1997ysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis- semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such
作者: 生氣地    時(shí)間: 2025-3-25 23:58
Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis- semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought
作者: foliage    時(shí)間: 2025-3-26 04:07
ures and semantic matching of question topics with double attention. We evaluate the performance of our method on the well-known question answering site Stack exchange. The experiments show that our framework outperforms other state-of-the-art solutions to the problem.
作者: BAN    時(shí)間: 2025-3-26 06:19
ures and semantic matching of question topics with double attention. We evaluate the performance of our method on the well-known question answering site Stack exchange. The experiments show that our framework outperforms other state-of-the-art solutions to the problem.
作者: defendant    時(shí)間: 2025-3-26 11:14
Wade H. Shafere invariant and discriminative latent features across domains. Experimental results on the standard BioScope corpus show the superiority of the proposed neural architecture, which significantly outperforms the state-of-the-art on scope resolution in both in-domain and cross-domain scenarios.
作者: Affable    時(shí)間: 2025-3-26 14:01
Wade H. Shaferdecoder for one task is directly fed into the second-pass decoder for the other task, which can take full advantage of the explicit intent and slot information to achieve bidirectional guidance between the two tasks. Experiments on the ATIS and SNIPS datasets demonstrate the effectiveness and superi
作者: 搖擺    時(shí)間: 2025-3-26 18:10

作者: paroxysm    時(shí)間: 2025-3-26 21:15
Wade H. Shaferone by distilling knowledge from BERT models. By experimenting on?SST-2, RTE, Sci-Tail and CoNLL 2003, we verify that our learned models are better at learning from BERT teachers than other baseline models. Ablation studies on Sci-Tail show that our search space design is valid, and our proposed str
作者: Bronchial-Tubes    時(shí)間: 2025-3-27 02:26

作者: PACT    時(shí)間: 2025-3-27 06:45

作者: Cervical-Spine    時(shí)間: 2025-3-27 11:30

作者: 波動(dòng)    時(shí)間: 2025-3-27 14:23

作者: 抵消    時(shí)間: 2025-3-27 19:58
Wade H. Shaferd the performance of the control model and the generalizability of the attacked model so that the data poisoning effect can be objectively and correctly evaluated. We compared 12 recently proposed KG attack methods on two different benchmark datasets to verify the objectivity and correctness of our




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