Results 171 to 180 of about 328,579 (213)
Some of the next articles are maybe not open access.
Entity extraction and disambiguation in finance
Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14, 2014The task of disambiguation in the financial and business domain is nuanced, covering a variety of pseudo-textual sources from news headlines to company earnings calls, automated telephone announcements, instant messaging, emails, and legal documents. New entities and references are continuously created as a matter of pride, and tracking the evolution ...
James A. Hodson, James Y. Zhang
openaire +2 more sources
Mutual Disambiguation for Entity Linking
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014The disambiguation algorithm presented in this paper is implemented in SemLinker, an entity linking system. First, named entities are linked to candidate Wikipedia pages by a generic annotation engine. Then, the algorithm re-ranks candidate links according to mutual relations between all the named entities found in the document. The evaluation is based
Eric Charton +3 more
openaire +2 more sources
Entity Type Disambiguation in User Queries [PDF]
Journal of Information & Knowledge Management, 2011 Searching for information about individual entities such as persons, locations, events, is an important activity in Internet search today, and is in its core a very semantic-oriented task. Several ways for accessing such information exist, but for locating entity-specific information, search engines are the most commonly used approach. In this context,
Barbara Bazzanella +2 more
openaire +2 more sources
Location-Aware Named Entity Disambiguation
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021Named Entity Disambiguation (NED) and linking has been traditionally evaluated on natural language content that is both well-written and contextually rich. However, many NED approaches display poor performance on text sources that are short and noisy.
Maithrreye Srinivasan, Davood Rafiei
openaire +2 more sources
Towards Vietnamese Entity Disambiguation
2014Entity Disambiguation (ED) is a fundamental task in Natural Language Processing (NLP). The term Entity is used to mean either a Named Entity or an Abstract Concept. Although there have been many works on the ED task for English and some for Vietnamese, this is the first time this paper tackles the general ED task for Vietnamese that deal with both ...
Long M. Truong, Tru Hoang Cao, Dien Dinh
openaire +2 more sources
An optimization framework for entity recognition and disambiguation
Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14, 2014We present a system for entity recognition and disambiguation (ERD) in short text, aiming at identifying all text fragments referring to an entity contained in Freebase. The task is organized in two steps. Given a short text the first step is discovering text fragments which possibly refer to an entity.Since multiple entities may share common mention ...
Chuan Wu 0003 +2 more
openaire +2 more sources
Topological Features Based Entity Disambiguation
Journal of Computer Science and Technology, 2016This work proposes an unsupervised topological features based entity disambiguation solution. Most existing studies leverage semantic information to resolve ambiguous references. However, the semantic information is not always accessible because of privacy or is too expensive to access.
Chenchen Sun +4 more
openaire +2 more sources
Entity Disambiguation with Linkless Knowledge Bases
Proceedings of the 25th International Conference on World Wide Web, 2016Named Entity Disambiguation is the task of disambiguating named entity mentions in natural language text and link them to their corresponding entries in a reference knowledge base (e.g. Wikipedia). Such disambiguation can help add semantics to plain text and distinguish homonymous entities.
Yang Li 0150 +5 more
openaire +1 more source
An entity disambiguation method based on LeaderRank
2017 IEEE International Conference on Big Data (Big Data), 2017Entity Disambiguation is commonly faced in semantic search and knowledge base population. However, it is a challenging task because of the diversity of mentions. Previous methods can be classified into two main groups. One focuses on disambiguating mentions in a document independently and mainly relies on the local context similarity.
Bingjing Jia +5 more
openaire +1 more source
SVM ensembles for named entity disambiguation
Computing, 2019The enormous quantity of digital data necessitates automation, which among other things can help link unstructured to structured data. Such a task requires a systematic approach of mapping entity mentions (e.g., person, location) to corresponding entries in a Knowledge Base.
Amal Alokaili, Mohamed El Bachir Menai
openaire +1 more source