Search Results for author: Eirini Papagiannopoulou

Found 7 papers, 5 papers with code

A Review of Keyphrase Extraction

2 code implementations13 May 2019 Eirini Papagiannopoulou, Grigorios Tsoumakas

Keyphrase extraction is a textual information processing task concerned with the automatic extraction of representative and characteristic phrases from a document that express all the key aspects of its content.

Clustering Keyphrase Extraction +1

Keyphrase Extraction from Scientific Articles via Extractive Summarization

1 code implementation NAACL (sdp) 2021 Chrysovalantis Giorgos Kontoulis, Eirini Papagiannopoulou, Grigorios Tsoumakas

Automatically extracting keyphrases from scholarly documents leads to a valuable concise representation that humans can understand and machines can process for tasks, such as information retrieval, article clustering and article classification.

Extractive Summarization Information Retrieval +2

Local Word Vectors Guiding Keyphrase Extraction

1 code implementation20 Oct 2017 Eirini Papagiannopoulou, Grigorios Tsoumakas

Automated keyphrase extraction is a fundamental textual information processing task concerned with the selection of representative phrases from a document that summarize its content.

Keyphrase Extraction Word Embeddings

Unsupervised Keyphrase Extraction from Scientific Publications

1 code implementation10 Aug 2018 Eirini Papagiannopoulou, Grigorios Tsoumakas

It then uses the minimum covariance determinant estimator to model the distribution of non-keyphrase word vectors, under the assumption that these vectors come from the same distribution, indicative of their irrelevance to the semantics expressed by the dimensions of the learned vector representation.

Keyphrase Extraction Outlier Detection +1

Keywords lie far from the mean of all words in local vector space

1 code implementation21 Aug 2020 Eirini Papagiannopoulou, Grigorios Tsoumakas, Apostolos N. Papadopoulos

Keyword extraction is an important document process that aims at finding a small set of terms that concisely describe a document's topics.

Keyword Extraction Position

Keyword Extraction Using Unsupervised Learning on the Document’s Adjacency Matrix

no code implementations NAACL (TextGraphs) 2021 Eirini Papagiannopoulou, Grigorios Tsoumakas, Apostolos Papadopoulos

This work revisits the information given by the graph-of-words and its typical utilization through graph-based ranking approaches in the context of keyword extraction.

Keyword Extraction

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