Summarization Based on Embedding Distributions

Exploiting prosodic and word embedding based features for automatic summarization of highly spontaneous Hungarian speech

Text Summarization Using Cuckoo Search Optimization Algorithm

Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...

EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS

Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...

Ranking and Summarization Using Word-embedding at NTCIR-12 MobileClick Task

Our team’s approach is based on word-embedding. We converted queries and iUnits to vectors using word2vec. To these generated vectors, ranking-generation methods and summarization methods are applied

ISCASIR at TREC 2015 Temporal Summarization Track

The goal of Temporal Summarization task is to develop systems which can detect useful, new, and timely sentence-length updates about a developing event. This paper describes our participation in Temporal Summarization track of TREC2015. Based on the word embedding technique, we submitted two runs for the summarization task. The query expanding technique is used for the first run and relevant se...