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A language modeling approach to entity recognition and disambiguation for search queries

Bhavana Dalvi, Chenyan Xiong, Jamie Callan
2014 Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14  
The Entity Recognition and Disambiguation (ERD) problem refers to the task of recognizing mentions of entities in a given query string, disambiguating them, and mapping them to entities in a given Knowledge  ...  Second, we retrieve candidate entities by searching for these candidate entity strings in Freebase. Third, we rank the candidate entities using language model based query likelihood scores.  ...  CONCLUSIONS We described a four step algorithm called Topic-specific Language Model (TLM method) for doing Entity Recognition and Disambiguation from search queries.  ... 
doi:10.1145/2633211.2634347 dblp:conf/sigir/DalviXC14 fatcat:sbwctk2vffdq5h2bcgced7if24

SPATIAL QUERIES ENTITY RECOGNITION AND DISAMBIGUATION USING RULE-BASED APPROACH

E. Hamzei, F. Hakimpour, A. Forati
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
To evade such degree of ambiguity, in this paper we present a new algorithm which depends on rule-based systems to process queries.  ...  One of the main issues in search engines studies is query processing, which its aim is to understand user's needs.  ...  Dalvi et al.(2014) developed a four step algorithm named Topic-specific Language Model (TLM method) for doing Entity Recognition and Disambiguation from search queries.in the process that initially candidate  ... 
doi:10.5194/isprsarchives-xl-1-w5-277-2015 fatcat:27zscgc6hramnp5dwo5exc7iw4

The TALP participation at ERD 2014

Ali M. Naderi, Horacio Rodriguez, Jordi Turmo
2014 Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14  
To this end, we presented our system taking advantage of a topic modeling approach to rank candidates of each entity mentions occurring in the query text.  ...  The objective of this evaluation track is to recognize mentions of entities in a given short text, disambiguate them and map them to the entities in a given collection of knowledge base.  ...  CONCLUSIONS AND FUTURE WORK In our participation in the first Entity Recognition and Disambiguation (ERD 2014), we applied a topic modeling approach in order to rank the candidates of each surface form  ... 
doi:10.1145/2633211.2634359 dblp:conf/sigir/NaderiRT14 fatcat:hkuzcrozmfetxcvxzeh3v3rzya

A search based approach to entity recognition

Michal Laclavik, Marek Ciglan, Alex Dorman, Stefan Dlugolinsky, Sam Steingold, Martin Šeleng
2014 Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14  
This write-up describes Magnetic-IISAS team's approach to the entity recognition in search queries with which we have participated in ERD 2014 challenge.  ...  ERD 2014 was a research challenge focused on the task of recognition and disambiguation of knowledge base entities in short and long texts.  ...  The main steps of the entity search approach described here are the following: • We apply typical IR models to Entity Search: Indexing and Full-text search, where entity is modeled as a multi-field document  ... 
doi:10.1145/2633211.2634352 dblp:conf/sigir/LaclavikCDDSS14 fatcat:cltolzcuezbf3jnv3a2gxajemu

Query Segmentation and Resource Disambiguation Leveraging Background Knowledge

Saeedeh Shekarpour, Axel-Cyrille Ngonga Ngomo, Sören Auer
2012 International Semantic Web Conference  
In this paper we introduce a novel approach for determining the correct resources for user-supplied keyword queries based on a hidden Markov model.  ...  While linguistic methods like named entity, multi-word unit recognition and POS-tagging fail in the case of an incomplete sentences (e.g. for keyword-based queries), we will show that our statistical approach  ...  First we introduce the concept of hidden Markov models and then we detail how we define the parameters of a hidden Markov model for solving the query segmentation and entity disambiguation problem.  ... 
dblp:conf/semweb/ShekarpourNA12 fatcat:6ca57bzoqjghtkedqrqnokhcsq

Named Entity Disambiguation for German News Articles

Andreas Lommatzsch, Danuta Ploch, Ernesto William De Luca, Sahin Albayrak
2010 Lernen, Wissen, Daten, Analysen  
Named entity disambiguation has become an important research area providing the basis for improving search engine precision and for enabling semantic search.  ...  Based on a German and an English document corpus, we evaluate various similarity measures and algorithms for extracting data for named entity disambiguation.  ...  The corpus contains a set of queries where each query consists of a query string, and a set of approximately 200 documents (retrieved from a search engine for the query string).  ... 
dblp:conf/lwa/LommatzschPLA10 fatcat:5er76fburva5jbhjv5smdwyasm

Hierarchical classification for Multilingual Language Identification and Named Entity Recognition

Saatvik Shah, Vaibhav Jain, Sarthak Jain, Anshul Mittal, Jatin Verma, Shubham Tripathi, Rajesh Kumar
2015 Forum for Information Retrieval Evaluation  
The detected named entities are further subclassified by a novel unsupervised technique based on query refinement and keyword based scoring.  ...  The subtask involved multilingual language identification (including mixed words and anomalous foreign words), named entity recognition (NER) and subclassification.  ...  This research paper addresses language identification (LI) and Named Entity Recognition (NER) for text in social media.  ... 
dblp:conf/fire/ShahJJMVTK15 fatcat:ea2rq65ggfcmzdcy3fcpgim3qm

Linking Named Entities across Languages using Multilingual Word Embeddings

Elvys Linhares Pontes, Antoine Doucet, José G. Moreno
2020 Zenodo  
However, NEs can have different spellings for each language which reduces the performance of user queries to retrieve documents across languages.  ...  We tested this approach to analyze documents and NEs in low-resourced languages and link them to the English version of Wikipedia.  ...  ACKNOWLEDGMENTS This work has been partly supported by the European Union's Horizon 2020 research and innovation programme under grants 770299 (NewsEye) and 825153 (EMBEDDIA).  ... 
doi:10.5281/zenodo.3759437 fatcat:5conhzjwpvcdxa7xmttiz5ihtu

SUMMA at TAC Knowledge Base Population Task 2017

Afonso Mendes, David Nogueira, Samuel Broscheit, Filipe Aleixo, Pedro Balage, Rui Martins, Sebastião Miranda, Mariana S. C. Almeida
2017 Text Analysis Conference  
We used an entity recognition based on a LSTM+CRF neural network and two different approaches for entity linking disambiguation: a nearest-neighbors search engine and a distributed representation based  ...  We submitted 3 runs for named and nominal EDL task, across all 3 languages (English, Spanish and Chinese).  ...  It then follows a different approach for the named disambiguation step.  ... 
dblp:conf/tac/MendesNBABMMA17 fatcat:vdkijkcidnbfrcvqwaglrpzmjm

Entity Linking in Queries: Efficiency vs. Effectiveness [chapter]

Faegheh Hasibi, Krisztian Balog, Svein Erik Bratsberg
2017 Lecture Notes in Computer Science  
Identifying and disambiguating entity references in queries is one of the core enabling components for semantic search.  ...  Our goal is to gain a deeper understanding of how to approach entity linking in queries, with a special focus on how to strike a balance between effectiveness and efficiency.  ...  Our experiments have led to two important findings: (i) it is more rewarding to employ supervised learning for candidate entity ranking than for disambiguation, and (ii) entity interdependence features  ... 
doi:10.1007/978-3-319-56608-5_4 fatcat:u3wntwzxtzc4dm5nk34zb6cp6y

Adaptive Resonance Theory Based Two-Stage Chinese Name Disambiguation

Xin Wang, Yuanchao Liu, Xiaolong Wang, Ming Liu, Bingquan Liu
2012 International Journal of Intelligence Science  
Our strategy is a mimic process of manual disambiguation and need not to predict the number of clusters, which makes it competent for the disambiguation task.  ...  We get a first-stage clustering result with ART1 model and then merge similar clusters in the second stage.  ...  Introduction Searching for person is an important part of real-world entity searching activity on the World Wide Web.  ... 
doi:10.4236/ijis.2012.24011 fatcat:6gfnh77im5b5pda77elwd27enu

Usability and Expressiveness in Database Keyword Search: Bridging the Gap

Elena Demidova, Wolfgang Nejdl
2009 Very Large Data Bases Conference  
Overcoming these challenges will facilitate effective disambiguation of a broader range of queries and thus increase usability of database systems for end users.  ...  In this paper we present challenges in database keyword search which have not been sufficiently addressed by the existing approaches including aspects of query expressiveness, relevance and incremental  ...  As a next step this model needs to be generalized to preserve expressiveness of structured queries and provide background for disambiguation of a broader spectrum of queries as described in the previous  ... 
dblp:conf/vldb/DemidovaN09 fatcat:urs6kw3aung2nl4azoiaosg7na

Comparison of Application Effect of Natural Language Processing Techniques for Information Retrieval
정보검색에서 자연어처리 응용효과 분석

Su Mei Xi, Young Im Cho
2012 Journal of Institute of Control Robotics and Systems  
for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information  ...  In order to find the roles of some classical natural language processing techniques in information retrieval and to find which one is better we compared the effects with the various natural language techniques  ...  can be obtained when we use a consistent approach in query and document.  ... 
doi:10.5302/j.icros.2012.18.11.1059 fatcat:3lt2jb5ndvgtfnrpefb6nzocny

Place Disambiguation with Co-occurrence Models

Simon E. Overell, João Magalhães, Stefan M. Rüger
2006 Conference and Labs of the Evaluation Forum  
We detail our methods for generating and applying co-occurrence models for the purpose of place name disambiguation, our use of named entity recognition tools and text indexing applications.  ...  We explain in detail our use of co-occurrence models for place name disambiguation using a model generated from Wikipedia.  ...  ESpotter utilises an Access database for Named Entity Recognition; we would like to see if it is possible to optimise this database for use with the GeoCLEF corpus and general place name recognition.  ... 
dblp:conf/clef/OverellMR06a fatcat:y4sickkjv5czrnf3y4qcumeafi

The SMAPH system for query entity recognition and disambiguation

Marco Cornolti, Paolo Ferragina, Massimiliano Ciaramita, Hinrich Schütze, Stefan Rüd
2014 Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14  
to keep/discard in order to generate the final annotation set for the query.  ...  are parsed to identify candidate mentions for the entities to be annotated.  ...  The piggyback approach, applied to the task of named entity recognition on web queries, was introduced in [22] .  ... 
doi:10.1145/2633211.2634348 dblp:conf/sigir/CornoltiFCSR14 fatcat:3o4gs3h6pzhzfnedyg3awih2qu
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