HitPaRank

Martin Reynaert

HitPaRank

Cognitive Science & AI

Research output: Online publication or Non-textual form › Software

Abstract

HitPaRank was developed as a tool to help select text units towards building a ground truth for concept-modeling which is domain expert controlled and geared towards replicability. It uses domain expert built lists of terms relevant to particular research questions applicable to a specific text corpus to help locate, extract and rank paragraphs from the corpus. It also helps defining and refining the actual term lists, adapting the theoretically relevant terms to the actual real-world forms as present in the corpus. It is currently geared towards working on corpora available in FoLiA XML format.

Original language	English
Media of output	Online
Publication status	Published - 2021

Keywords

corpus analysis
evaluation
concept-modelling
philosophy
QUINE corpus

Cite this

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title = "HitPaRank",

abstract = "HitPaRank was developed as a tool to help select text units towards building a ground truth for concept-modeling which is domain expert controlled and geared towards replicability. It uses domain expert built lists of terms relevant to particular research questions applicable to a specific text corpus to help locate, extract and rank paragraphs from the corpus. It also helps defining and refining the actual term lists, adapting the theoretically relevant terms to the actual real-world forms as present in the corpus. It is currently geared towards working on corpora available in FoLiA XML format.",

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author = "Martin Reynaert",

year = "2021",

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AU - Reynaert, Martin

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N2 - HitPaRank was developed as a tool to help select text units towards building a ground truth for concept-modeling which is domain expert controlled and geared towards replicability. It uses domain expert built lists of terms relevant to particular research questions applicable to a specific text corpus to help locate, extract and rank paragraphs from the corpus. It also helps defining and refining the actual term lists, adapting the theoretically relevant terms to the actual real-world forms as present in the corpus. It is currently geared towards working on corpora available in FoLiA XML format.

AB - HitPaRank was developed as a tool to help select text units towards building a ground truth for concept-modeling which is domain expert controlled and geared towards replicability. It uses domain expert built lists of terms relevant to particular research questions applicable to a specific text corpus to help locate, extract and rank paragraphs from the corpus. It also helps defining and refining the actual term lists, adapting the theoretically relevant terms to the actual real-world forms as present in the corpus. It is currently geared towards working on corpora available in FoLiA XML format.

KW - corpus analysis

KW - evaluation

KW - concept-modelling

KW - philosophy

KW - QUINE corpus

UR - https://github.com/martinreynaert/HitPaRank

M3 - Software

ER -

HitPaRank

Abstract

Keywords

Other files and links

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Expert Concept-Modeling Ground Truth Construction for Word Embeddings Evaluation in Concept-Focused Domains

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