Code-Switched Named Entity Recognition with Embedding Attention

2018-07-01 · WS 2018 7 · Changhan Wang, Kyunghyun Cho, Douwe Kiela

We describe our work for the CALCS 2018 shared task on named entity recognition on code-switched data. Our system ranked first place for MS Arabic-Egyptian named entity recognition and third place for English-Spanish.

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Tasks

Language Identificationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Word Embeddings

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Named Entity Recognition plays a major role in several downstream applications in NLP. Though this task has been heavily studied in formal monolingual texts and also noisy texts like Twitter data, it is still an emerging…

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Named Entity Recognition on Code-Switched Data Using Conditional Random Fields

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Named Entity Recognition is an important information extraction task that identifies proper names in unstructured texts and classifies them into some pre-defined categories. Identification of named entities in code-mixed…

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IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data

2018-07-01 · WS 2018 7 · Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh

This paper describes the best performing system for the shared task on Named Entity Recognition (NER) on code-switched data for the language pair Spanish-English (ENG-SPA). We introduce a gated neural architecture for th…

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GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks

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This paper describes our system submission to the CALCS 2018 shared task on named entity recognition on code-switched data for the language variant pair of Modern Standard Arabic and Egyptian dialectal Arabic. We build a…

named-entity-recognition Named Entity Recognition Named Entity Recognition (NER)