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.
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.
1 code implementation • 21 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.
2 code implementations • 13 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.
1 code implementation • 10 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.
1 code implementation • 20 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.