Results 11 to 20 of about 778,905 (302)

Named entity recognition: challenges in document annotation, gazetteer construction and disambiguation [PDF]

, 2013
The ' information explosion' has generated unprecedented amount of published information that is still growing at an astonishing rate. As the amount of information grows, the problem of managing the information becomes challenging.
Zhang, Ziqi
core   +6 more sources

Entity-aware Transformers for Entity Search [PDF]

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Pre-trained language models such as BERT have been a key ingredient to achieve state-of-the-art results on a variety of tasks in natural language processing and, more recently, also in information retrieval.Recent research even claims that BERT is able to capture factual knowledge about entity relations and properties, the information that is commonly ...
Emma J. Gerritse, Faegheh Hasibi, Arjen P. de Vries   +2 more
openaire   +2 more sources

Entity Disambiguation with Entity Definitions

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Local models have recently attained astounding performances in Entity Disambiguation (ED), with generative and extractive formulations being the most promising research directions. However, previous works limited their studies to using, as the textual representation of each candidate, only its Wikipedia title.
Luigi Procopio, Simone Conia, Edoardo Barba, Roberto Navigli   +3 more
openaire   +2 more sources

Dynamic Collective Entity Representations for Entity Ranking [PDF]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016
Entity ranking, i.e., successfully positioning a relevant entity at the top of the ranking for a given query, is inherently difficult due to the potential mismatch between the entity's description in a knowledge base, and the way people refer to the entity when searching for it.
David Graus, Manos Tsagkias, Wouter Weerkamp, Edgar Meij, Maarten de Rijke   +4 more
openaire   +3 more sources

ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction [PDF]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Current state-of-the-art systems for joint entity relation extraction (Luan et al., 2019; Wad-den et al., 2019) usually adopt the multi-task learning framework. However, annotations for these additional tasks such as coreference resolution and event extraction are always equally hard (or even harder) to obtain.
Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou 0012, Lei Li 0005, Junchi Yan   +5 more
openaire   +1 more source

Learning Relatedness Measures for Entity Linking [PDF]

, 2013
Entity Linking is the task of detecting, in text documents, relevant mentions to entities of a given knowledge base. To this end, entity-linking algorithms use several signals and features extracted from the input text or from the knowl- edge base.
Lucchese, Claudio, Orlando, Salvatore, Salvatore Orlando, Salvatore Trani, Trani, Salvatore, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Salvatore Orl, Ceccarelli, Diego, Perego, Raffaele, Diego Ceccarelli, Claudio Lucchese, Salvatore Trani, Salvatore Orlando, Raffaele Perego   +15 more
core   +1 more source

Dexter: an open source framework for entity linking [PDF]

, 2013
We introduce Dexter, an open source framework for entity linking. The entity linking task aims at identifying all the small text fragments in a document referring to an entity contained in a given knowledge base, e.g., Wikipedia.
Lucchese, Claudio, Orlando, Salvatore, Salvatore Orlando, Salvatore Trani, Trani, Salvatore, Diego Ceccarelli, Claudio Lucchese, Raffaele Perego, Ceccarelli, Diego, Perego, Raffaele, Diego Ceccarelli, Claudio Lucchese, Salvatore Trani, Salvatore Orlando, Raffaele Perego   +14 more
core   +1 more source

Entity-relationship diagram.

, 2022
Entity-relationship diagram.
Greg Wilson (521084)
core   +1 more source

Combining Word and Entity Embeddings for Entity Linking [PDF]

, 2017
The correct identification of the link between an entity mention in a text and a known entity in a large knowledge base is important in information retrieval or information extraction. The general approach for this task is to generate, for a given mention, a set of candidate entities from the base and, in a second step, determine which is the best one.
Moreno, Jose G., Besancon, Romaric, Beaumont, Romain, d'Hondt, Eva, Ligozat, Anne-Laure, Rosset, Sophie, Tannier, Xavier, Grau, Brigitte   +7 more
openaire   +3 more sources

Web Searching with Entity Mining at Query Time [PDF]

, 2012
In this paper we present a method to enrich the classical web searching with entity mining that is performed at query time. The results of entity mining (entities grouped in categories) can complement the query answers with useful for the user ...
Baldassarre, Claudio, Pavlos Fafalios, Salampasis, Michail, Marketakis, Yannis, Yannis Marketakis, Michail Salampasis, Kitsos, Ioannis, Ioannis Kitsos, Yannis Tzitzikas, Tzitzikas, Yannis, Fafalios, Pavlos, Claudio Baldassarre   +11 more
core   +1 more source