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WING-NUS

Discovered public repositories for WING-NUS in the GitHub catalog.

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WING-NUS/search-engine-wrapper

This package provides a Java wrapper framework for unifying programmatic access to search engines. A convenience class is also included for downloading the files at the URLs in the search engine results. This package contains an API as well as a command-line application.

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WING-NUS/cubit

Google Scholar Analytics Package (Server backend and embeddable Javascript)

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WING-NUS/TESLA-S

TESLA-S: Evaluating Summary Content. Adaptation of the popular TESLA evaluation metric for summarization content evaluation. Part of the deliverables from Lin et al.'s 2012 ACL paper entitled "Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation".

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WING-NUS/DICOMER

DIscourse COherence Model for Evaluating Readability. DICOMER is a package for evaluating the coherence of text using discourse matrix representation, augmented with discourse hierarchy structure. Part of the deliverables from Lin et al.'s 2012 ACL paper entitled "Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation".

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WING-NUS/ParsCit

An open-source CRF Reference String Parsing Package - This is the Windows version, contributed by Zhu Ying-Bo Language Computing and Web Mining Group Institute of Computer Science and Technology of Peking University. Please contact him for details: yumichika@163.com. Forking and committing on his behalf. For the original version see the origin (knmnyn/ParsCit)

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WING-NUS/RAZ

Robust Argumentative Zoning - This is the home page for the argumentative zoning for raw text project, a collaboration between NUS and the University of Cambridge. This work follows Teufel's thesis to zone (label) sentences with six different rhetorical functions for scholarly discoure. The download comes with Teufel's original analysis and markup of 80 cmp-lg articles.

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WING-NUS/SWING

The Summarizer from the Web IR / NLP Group (WING), hence SWING, is a modular, state-of-the-art automatic extractive text summarization system. It is used as the basis for summarization research at the National University of Singapore. It performs as one of the leading automatic summarization systems in the international TAC competition, getting high marks for the ROUGE evaluation measure

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WING-NUS/Elsevier-KP

Keyphrase Extraction (Base version for Elsevier; Elsevier-KP). Link below not working yet.

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WING-NUS/JavaRAP

JavaRAP is an implementation of the classic Resolution of Anaphora Procedure (RAP) given by Lappin and Leass (1994) . It resolves third person pronouns, lexical anaphors, and identifies pleonastic pronouns. The original purpose of the implementation is to provide anaphora resolution result to our TREC 2003 Q&A system.

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WING-NUS/Kairos

Kairos, combines a focused crawler and an information extraction engine, to convert a list of conference websites into a index filled with fields of metadata that correspond to individual papers. Using event date metadata extracted from the conference website, Kairos proactively harvests metadata about the individual papers soon after they are made public. We use a Maximum Entropy classifier to classify uniform resource locators (URLs) as scientific conference websites and use Conditional Random Fields (CRF) to extract individual paper metadata from such websites. The crawler is built on top of the popular open-source crawler Nutch.

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