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Syntactic Identification of Occurrences of Multiword Expressions in Text using a Lexicon with Dependency Structures

机译：用依赖性结构的词典中文本中多个表达式发生的语法识别

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We deal with syntactic identification of occurrences of multiword expression (MWE) from an existing dictionary in a text corpus. The MWEs we identify can be of arbitrary length and can be interrupted in the surface sentence. We analyse and compare three approaches based on linguistic analysis at a varying level, ranging from surface word order to deep syntax. The evaluation is conducted using two corpora: the Prague Dependency Tree-bank and Czech National Corpus. We use the dictionary of multiword expressions SemLex, that was compiled by annotating the Prague Dependency Treebank and includes deep syntactic dependency trees of all MWEs.

机译：我们处理从文本语料库中的现有字典中的多字expression（MWE）发生的句法识别。我们识别的MWE可以是任意长度，并且可以在表面句中中断。我们根据不同级别的语言分析分析和比较三种方法，范围从表面单词顺序到深度语法。评估是使用两种Corpora进行的：布拉格依赖树和捷克国家语料库。我们使用umbyword表达式semlex的字典，通过注释布拉格依赖树bybank来编译，包括所有mwes的深句法依赖树。

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《Workshop on multiword expressions》|2013年||共10页
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Eduard Bejcek; Pavel Stranak; Pavel Pecina;
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中图分类程序设计、软件工程;
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3. Extracting Multiword Sentiment Expressions by Using a Domain-Specific Corpus and a Seed Lexicon [J] . Kong-Joo Lee, Jee-Eun Kim, Bo-Hyun Yun ETRI journal . 2013,第5期

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4. Syntactic Identification of Occurrences of Multiword Expressions in Text using a Lexicon with Dependency Structures [C] . Eduard Bejcek, Pavel Stranak, Pavel Pecina Workshop on multiword expressions . 2013

机译：使用依赖结构词典对文本中多词表达的句法识别
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7. Figure 1: (A) Example of a text-based forma mentis network. A TFMN can be represented either as an edge-coloured graph or as a multiplex network. Positive (negative) words are highlighted in cyan (red). Neutral words are in black. Syntactic links between positive (negative) words are highlighted in cyan (red) too. Syntactic links between positive and negative concepts are in purple. All semantic links of meaning overlap are highlighted in green. (B) Infographics about how a TFMN is assembled. Individuals organise their knowledge and emotional perception of the real world in their mental lexicon (comic clouds). [O] . -1

机译：图1：（a）基于文本的Forma Mentis网络示例。 TFMN可以用作边缘彩色图形或作为多路复用网络表示。在青色（红色）突出显示正（负）单词。中立词是黑色的。在青色（红色）突出显示正（否定）单词之间的句法链接。正面和消极概念之间的句法链接在紫色。含义重叠的所有语义链接都以绿色突出显示。（b）关于TFMN如何组装的信息图表。个人在他们的精神词典（漫画云）中对现实世界组织了他们的知识和情感感知。

Syntactic Identification of Occurrences of Multiword Expressions in Text using a Lexicon with Dependency Structures

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