[PDF] Top 20 Learning to Simplify Sentences Using Wikipedia
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Learning to Simplify Sentences Using Wikipedia
... In this paper we examine the sentence sim- plification problem as an English-to-English translation problem, utilizing a corpus of 137K aligned sentence pairs extracted by aligning English Wikipedia and Simple En- ... See full document
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Learning to Simplify Sentences with Quasi Synchronous Grammar and Integer Programming
... source-target sentences. Our work joins others in us- ing Wikipedia to extract data appropriate for model training (Yamangil and Nelken, 2008; Yatskar et ...English Wikipedia (henceforth SimpleEW) ... See full document
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Learning by comparing with Wikipedia: the value to students’ learning
... activamente Wikipedia, en el marco de una asignatura de Estadística de un máster en ...de Wikipedia y materiales académicos de aprendizaje ...de Wikipedia, para cada concepto estadístico de la ... See full document
11
Learning Web Query Patterns for Imitating Wikipedia Articles
... Table 1 shows the eight triplets obtained from Figure 1. Here, it might not be clear whether the indefinite article a is necessary in the pattern is from a. Although we do not address this is- sue directly in this paper, ... See full document
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Learning Topic Hierarchies for Wikipedia Categories
... Our problem is to learn a CTH for a Wiki catego- ry from multiple topic hierarchies represented by CT in the Wiki articles of the category. For ex- ample, consider the category “earthquake”. There are a lot of ... See full document
6
Wikipedia as an Authentic Learning Space
... Maureen Williams of Neumann University presented the session, ―One Shot? Make It Four! Planning and Assessing a Multi-Session Information Literacy Experiment,‖ in which she discussed expanding the traditional one-shot ... See full document
5
Learning a Lexical Simplifier Using Wikipedia
... We compared our lexical simplification approach (rank-simplify) to two other approaches. To un- derstand the benefit of the feature-based ranking algorithm, we compared against a simplifier that uses the same rule ... See full document
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Technical vocabulary learning using Wikipedia
... When compiling, the compiler translates your source code into Microsoft Common Intermediate Language (MSIL), which is a CPU independent set of instructions that can be efficiently co[r] ... See full document
19
Topic Classification of Blog Posts Using Distant Supervision
... data using a set of 152 manually labeled blogs to train their ...chine learning (i.e., using a rule-based ...it using its online search results and/or Wikipedia ...machine ... See full document
9
An Unsupervised Approach to Biography Production Using Wikipedia
... our Wikipedia biographies tend to follow a gen- eral presentation template, in which birth informa- tion is mentioned before death information, infor- mation about current professional position and af- filiations ... See full document
9
Using Activities to Simplify Interaction with Mobile Services
... We have witnessed the emergence of specialised information applets or ‘widgets’ that users can assemble (e.g. Apple’s dashboard and iGoogle) to provide ‘at a glance’ summaries of web derived information without the need ... See full document
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Team GESIS Cologne: An all in all sentence based approach for FEVER
... are sentences where the added information doubles the info of the ...are sentences where the content does not match the entity de- scribed in the ...our Wikipedia-based dataset we used the ones ... See full document
5
Learning to Summarise Related Sentences
... The Pearson correlation between BLEU scores per instance and the number of vertices is -0.1886. The negative correlation implies that summarising larger word-graphs is more challenging. A negative corre- lation of ... See full document
12
Summarizing Definition from Wikipedia
... current Wikipedia recur- sively defines over 2 million concepts (in English) via wiki ...2000. Wikipedia addresses explicit semantics for numerous ... See full document
9
Learning to Parse Bilingual Sentences Using Bilingual Corpus and Monolingual CFG
... Thus, the proposed model commits to common linguistic labels for words and phrases found in an English treebank, such as NN (noun), VB (verb), JJ (adjective), NP (noun phrase), VP (verb phrase), ADJP (adjective phrase), ... See full document
23
Assessing Relative Sentence Complexity using an Incremental CCG Parser
... side using the combina- tory rule of forward application (indicated by >), to form the category NP\NP representing the phrase with ...categories using CCG combinators to form new categories representing ... See full document
7
Team UMBC FEVER : Claim verification using Semantic Lexical Resources
... of Wikipedia sentences that are relevant to the assessment and a classification task that analyzes the evidence and labels the claim as Supported, Refuted or NotE- ...idence sentences and a ... See full document
5
Identifying Key Sentences for Precision Oncology Using Semi Supervised Learning
... machine learning pipeline that identifies key sentences in abstracts of oncological articles to aid evidence- based ...machine learning approaches: To mit- igate difficulties arising from heterogen- ... See full document
12
Learning to Fuse Disparate Sentences
... We also apply syntactic constraints to make sure we supply all the required arguments for each word we select. We hand-write rules to prevent the sys- tem from pruning determiners, auxiliary verbs, sub- jects, objects, ... See full document
10
Automatic Detection and Analysis of Impressive Japanese Sentences Using Supervised Machine Learning
... write sentences that impress the listener or reader (“impressive sentences”) in many cases, such as when drafting political ...such sentences in Japanese. Impressive sentences in Japanese are ... See full document
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