6,827 research outputs found

    A Multilingual Evaluation of NER Robustness to Adversarial Inputs

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    Adversarial evaluations of language models typically focus on English alone. In this paper, we performed a multilingual evaluation of Named Entity Recognition (NER) in terms of its robustness to small perturbations in the input. Our results showed the NER models we explored across three languages (English, German and Hindi) are not very robust to such changes, as indicated by the fluctuations in the overall F1 score as well as in a more fine-grained evaluation. With that knowledge, we further explored whether it is possible to improve the existing NER models using a part of the generated adversarial data sets as augmented training data to train a new NER model or as fine-tuning data to adapt an existing NER model. Our results showed that both these approaches improve performance on the original as well as adversarial test sets. While there is no significant difference between the two approaches for English, re-training is significantly better than fine-tuning for German and Hindi.Comment: Paper accepted at Repl4NLP workshop, ACL 202

    Exploiting the archive: and the animals came in two by two, 16mm, CD-Rom and BetaSP Area

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    Automatic News Summerization

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    Natural Language Processing is booming with its applications in the real world, one of which is Text Summarization for large texts including news articles. This research paper provides an extensive comparative evaluation of extractive and abstractive approaches for news text summarization, with an emphasis on the ROUGE score analysis. The study employs the CNN-Daily Mail dataset, which consists of news articles and human-generated reference summaries. The evaluation employs ROUGE scores to assess the efficacy and quality of generated summaries. After Evaluation, we integrate the best-performing models on a web application to assess their real-world capabilities and user experience

    Proposal for the creation of a national network of global studies high schools

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    This is a proposal to seek private and public funding to create a national network of global studies high schools (GSHS). The aim of a network of GSHSs is to enlarge the leadership corps of the next generation and to equip its members to address mounting global challenges to the security, material welfare, and freedoms of the American people, the citizens of open societies everywhere, and those who are striving to join their ranks.Title VI National Resource Center Grant (P015A060066)published or submitted for publicationnot peer reviewe

    Spartan Daily, September 21, 1993

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    Volume 101, Issue 16https://scholarworks.sjsu.edu/spartandaily/8444/thumbnail.jp

    Project for the analysis of technology transfer

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    The special task of preparing technology transfer profiles during the first six months of 1971 produced two major results: refining a new method for identifying and describing technology transfer activities, and generating practical insights into a number of issues associated with transfer programs

    Neologisms in Modern English: study of word-formation processes

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    http://tartu.ester.ee/record=b2654513~S1*es

    Spartan Daily, April 29, 1970

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    Volume 57, Issue 110https://scholarworks.sjsu.edu/spartandaily/5332/thumbnail.jp

    Spartan Daily, April 29, 1970

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    Volume 57, Issue 110https://scholarworks.sjsu.edu/spartandaily/5332/thumbnail.jp
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