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Opinion Word Expansion and Target Extraction through Double Propagation
Double Propagation vocabulary
2015/9/9
Analysis of opinions, known as opinion mining or sentiment analysis, has attracted a great
deal of attention recently due to many practical applications and challenging research problems.
In this ar...
CorMet: A Computational, Corpus-Based Conventional Metaphor Extraction System
Corpus-Based Conventional Metaphor System
2015/8/31
CorMet is a corpus-based system for discovering metaphorical mappings between concepts. It
does this by finding systematic variations in domain-specific selectional preferences, which are...
We are interested in the problem of word extraction from Chinese text collections. We define a
word to be a meaningful string composed of several Chinese characters. For example, ,
‘percent’, ...
Learning Algorithms for Keyphrase Extraction
achine learning summarization indexing keywords keyphrase extraction
2015/7/30
Many academic journals ask their authors to provide a list of about five to fifteen keywords,
to appear on the first page of each article. Since these key words are often phrases of two or
more word...
Finding Educational Resources on the Web:Exploiting Automatic Extraction of Metadata
Educational Resources on the Web Automatic Extraction Metadata
2015/6/12
Searching for educational resources on the web would be greatly facilitated by the availability of classificatory metadata, but most web educational resources put up by faculty members provide no such...
Template Sampling for Leveraging Domain Knowledge in Information Extraction
Template Sampling Domain Knowledge Information Extraction
2015/6/12
We initially describe a feature-rich discriminative Conditional Random Field (CRF) model for Information Extraction in the workshop announcements domain, which offers good baseline performance in the ...
Unsupervised Learning of Field Segmentation Models for Information Extraction
Unsupervised Learning Field Segmentation Models Information Extraction
2015/6/12
The applicability of many current information extraction techniques is severely limited by the need for supervised training data. We demonstrate that for certain field structured extraction tasks, suc...
Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
Incorporating Non-local Information Information Extraction Systems Gibbs Sampling
2015/6/12
Most current statistical natural language processing models use only local features so as to permit dynamic programming in inference, but this makes them unable to fully account for the long distance ...
Phrasal: A Toolkit for Statistical Machine Translation with Facilities for Extraction and Incorporation of Arbitrary Model Features
Statistical Machine Translation Extraction and Incorporation Arbitrary Model Features
2015/6/12
We present a new Java-based open source toolkit for phrase-based machine translation. The key innovation provided by the toolkit is to use APIs for integrating new features (/knowledge sources) into t...
Multi-instance Multi-label Learning for Relation Extraction
Multi-instance Multi-label Learning Relation Extraction
2015/6/12
Distant supervision for relation extraction (RE) – gathering training data by aligning a database of facts with text – is an efficient approach to scale RE to thousands of different relations. However...
Template-Based Information Extraction without the Templates
Information Extraction the Templates
2015/6/10
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data,to learn to extract their slot fillers (e.g., an embassy is the Target of...
Distant supervision is a successful paradigm that gathers training data for information extraction systems by automatically aligning vast databases of facts with text. Previous work has demonstrated i...
SEMANTIC SEGMENTATION AND DIFFERENCE EXTRACTION VIA TIME SERIES AERIAL VIDEO CAMERA AND ITS APPLICATION
difference extraction semantic segmentation aerial image
2015/5/7
Google earth with high-resolution imagery basically takes months to process new images before online updates. It is a time consuming and slow process especially for post-disaster application. The ob...
Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction
Coreference Resolution Keyframe Extraction
2014/11/26
Gesture Salience as a Hidden Variable for Coreference
Resolution and Keyframe Extraction。
Multi Event Extraction Guided by Global Constraints
Global Constraints Event Extraction Guided
2014/11/26
Event Extraction Guided。