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Found 9 papers, 0 papers with code
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models
In this paper, we revisit the challenging problem of unsupervised single-document summarization and study the following aspects: Integer linear programming (ILP) based algorithms, Parameterized normalization of term and sentence scores, and Title-driven approaches for summarization.
Online News Media Website Ranking Using User Generated Content
The use of user-generated content in this framework, as a partly-unbiased, real-time and low cost content on the web distinguishes the proposed news website ranking framework from the literature.
Automated email Generation for Targeted Attacks using Natural Language
Using legitimate as well as an influx of varying malicious content, the proposed deep learning system generates \textit{fake} emails with malicious content, customized depending on the attacker's intent.
Newswire versus Social Media for Disaster Response and Recovery
In a disaster situation, first responders need to quickly acquire situational awareness and prioritize response based on the need, resources available and impact.
Identifying Reference Spans: Topic Modeling and Word Embeddings help IR
The CL-SciSumm 2016 shared task introduced an interesting problem: given a document D and a piece of text that cites D, how do we identify the text spans of D being referenced by the piece of text?
Extractive Summarization: Limits, Compression, Generalized Model and Heuristics
Due to its promise to alleviate information overload, text summarization has attracted the attention of many researchers.
ICE: Idiom and Collocation Extractor for Research and Education
Collocation and idiom extraction are well-known challenges with many potential applications in Natural Language Processing (NLP).
