Results 21 to 30 of about 2,950 (145)
UNH at SemEval-2019 Task 12: Toponym Resolution in Scientific Papers [PDF]
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019 The SemEval-2019 Task 12 is toponym resolution in scientific papers. We focus on Subtask 1: Toponym Detection which is the identification of spans of text for place names mentioned in a document. We propose two methods: 1) sliding window convolutional neural network using ELMo embeddings (cnn-elmo), and 2) sliding window multi-Layer perceptron using ...
Matthew Magnusson, Laura Dietz
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Toponym Resolution Based on Surface Difference among Candidates
Journal of Natural Language Processing, 2010 地名等の固有名詞は自然言語処理における未知語処理問題の要因の一つであり，これを自動的に認識する手法が盛んに研究されている．本稿では，地名の所属国を自動的に推定することで，未知語としてノイズの原因となる可能性のある地名語句に情報を与えることを目的とする．固有名詞である地名の認識では地名辞書が用いられることが多いが，辞書ベースの手法では，辞書未登録語の問題が避けられない．不特定多数の外国の地名も含めた所属国の推定の実現のため，本稿では，地名辞書や文脈情報を全く使用せず，地名の表層情報のみを利用して，地名の所属国を自動的に判別する手法を提案する．地名については，言語的な類似性や地理的要因によって所属国の判別が困難な場合がある．本稿ではこの点に着目し，所属可能性の低い国の除去による候補の絞込み処理と ...
Tomohisa Sano +5 more
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Ubiquitous Place Names Standardization and Study in Indonesia [PDF]
, 2015 Place names play a vital role in human society. Names exist in all languages and place names are an indispensible part of International communication. This has been acknowledged by the establishment of the United Nations Group of Experts on Geographical ...
Lauder, A. F. (Allan) +1 more
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DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution [PDF]
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019 This paper describes DM-NLP’s system for toponym resolution task at Semeval 2019. Our system was developed for toponym detection, disambiguation and end-to-end resolution which is a pipeline of the former two. For toponym detection, we utilized the state-of-the-art sequence labeling model, namely, BiLSTM-CRF model as backbone.
Xiaobin Wang +6 more
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Toponym Resolution on Historical Serial Sources
, 2021 Various challenges are present in the resolution of toponyms from historical serial sources, where problems range from spelling errors to incorrect information. In this thesis, such problems are identified, design decisions for a resolution system are made, applicable heuristics from all over literature are gathered and complemented, the implementation
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Discovering the spatial coverage of the documents through the SpatialCIM Methodology. [PDF]
, 2020 The main focus of this paper is to present the SpatialCIM methodology to identify the spatial coverage of the documents in the Brazilian geographic area. This methodology uses a linguistic tool to assist in the entity recognition process.
MOURA, M. F. +4 more
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Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals [PDF]
, 2007 This paper describes research that aims to define the information needs of mobile individuals, to implement a mobile information system that can satisfy those needs, and finally to evaluate the performance of that system with end-users. First a review of
A. Edwardes +42 more
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ACM SIGIR Forum, 2007 Institute for Communicating and Collaborative Systems Background. In the area of Geographic Information Systems (GIS), a shared discipline between informatics and geography, the term geo-parsing is used to describe the process of identifying names in text, which in computational linguistics is known as named entity recognition and classification (NERC).
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Toponym extraction and disambiguation enhancement using loops of feedback [PDF]
, 2013 Toponym extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. This paper addresses two problems with toponym extraction
Habib, Mena B., Keulen, Maurice van
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Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages
, 2017 Extracting geographical tags from webpages is a well-motivated application in many domains. In illicit domains with unusual language models, like human trafficking, extracting geotags with both high precision and recall is a challenging problem.
Kapoor, Rahul +2 more
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