Titlebook: Natural Language Processing and Chinese Computing; First CCF Conference Ming Zhou,Guodong Zhou,Lei Zou Conference proceedings 2012 Springer

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書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)




書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開(kāi)度




書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing被引頻次




書目名稱Natural Language Processing and Chinese Computing被引頻次學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing年度引用




書目名稱Natural Language Processing and Chinese Computing年度引用學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing讀者反饋




書目名稱Natural Language Processing and Chinese Computing讀者反饋學(xué)科排名

催眠藥

場(chǎng)所

Automatic Generation of Chinese Character Based on Human Vision and Prior Knowledge of Calligraphyive layer framework. Calligraphist’s unique calligraphy skill is analyzed and his particular strokes, radicals and layout patterns provide raw element for the proposed five layers. The criteria of visual aesthetics based on Marr’s vision assumption are built for the proposed algorithm of automatic g

逃避責(zé)任

A Spoken Dialogue System Based on FST and DBNrmance of the whole system. This paper proposes a novel method named action-group finite state transducer (FST) model to cope with the problem of natural language understanding. This model can map user utterances to actions, and extract user’s information according to the matched string. For dialogu

脾氣暴躁的人

女歌星

Ontology-Based Event Modeling for Semantic Understanding of Chinese News Storyer, most existing work deals with documents so they fail to provide sufficient semantic information about events in news articles. In this paper, considering ., .hy and ., the 5W1H elements of a piece of news, we propose a News Ontology Event Model (NOEM) which can describe 5W1H semantic elements of

Spangle

輕率看法

評(píng)論者

Topic Structure Identification of PClause Sequence Based on Generalized Topic Theorycteristics of topic structure and the stack model having been clearly explained by Generalized Topic Theory, proposes a scheme for identifying the topic structure of PClause sequence. The accuracy rate for open test is 15 percent higher than the baseline, which proves the effectiveness of employing

doxazosin

Chinese Semantic Role Labeling with Dependency-Driven Constituent Parse Tree Structure (D-CPT) structure is proposed to better represent the dependency relations in a CPT-style structure, which employs dependency relation types instead of phrase labels in CPT. In this way, D-CPT not only keeps the dependency relationship information in the dependency parse tree (DPT) structure but al