A Multilingual Evaluation of NER Robustness to Adversarial Inputs

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

Automatic News Summerization

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

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

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

Floating constraints in lexical choice

Lexical choice is a computationally complex task, requiring a generation system to consider a potentially large number of mappings between concepts and words. Constraints that aid in determining which word is best come from a wide variety of sources, including syntax, semantics, pragmatics, the lexicon, and the underlying domain. Furthermore, in some situations, different constraints come into play early on, while in others, they apply much later. This makes it difficult to determine a systematic ordering in which to apply constraints. In this paper, we present a general approach to lexical choice that can handle multiple, interacting constraints. We focus on the problem of floating constraints, semantic or pragmatic constraints that float, appearing at a variety of different syntactic ranks, often merged with other semantic constraints. This means that multiple content units can be realized by a single surface element, and conversely, that a single content unit can be realized by a variety of surface elements. Our approach uses the Functional Unification Formalism (FUF) to represent a generation lexicon, allowing for declarative and compositional representation of individual constraints

Project for the analysis of technology transfer

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

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

Spartan Daily, April 29, 1970

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

Spartan Daily, April 29, 1970

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