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About 10,000 papers for “Modeling language”

Language Modeling

Ilana Heintz · Theory and applications of natural language processing · 2014

Cited by 2

Language Modeling

Yoav Goldberg · Synthesis lectures on human language technologies · 2017

Cited by 0

Language modeling for . . .

Bo-june (Paul) Hsu · 2009

With the increasing focus of speech recognition and natural language processing applications on domains with limited amount of in-domain training data, enhanced system performance often relies on approaches involving model adaptation and combination. In such domains, language models are often constructed by interpolating component models trained from partially matched corpora. Instead of simple linear interpolation, we introduce a generalized linear interpolation technique that computes context-dependent mixture weights from features that correlate with the component confidence and relevance for each n-gram context. Since the n-grams from partially matched corpora may not be of equal relevance to the target domain, we propose an n-gram weighting scheme to adjust the component n-gram probabilities based on features derived from readily available corpus segmentation and metadata to de-emphasize out-of-domain n-grams. In scenarios without any matched data for a development set, we examine unsupervised and active learning techniques for tuning the interpolation and weighting parameters. Results on a lecture transcription task using the proposed generalized linear interpolation and n-gram weighting techniques yield up to a 1.4 % absolute word error rate reduction

Cited by 0

Unified Modeling Language

National Cancer Institute · Definitions · 2020

A non-proprietary, third generation modelling language.T he Unified Modeling Language is an open method used to specify, visualise, construct and document the artifacts of an object-oriented software-intensive system under development.T he UML represents a compilation of "best engineering practices" which have proven successful in modelling large, complex systems.

Cited by 7Open access

Human Language Modeling

Nikita Soni, Matthew Matero, Niranjan Balasubramanian et al. · arXiv (Cornell University) · 2022

Natural language is generated by people, yet traditional language modeling views words or documents as if generated independently. Here, we propose human language modeling (HuLM), a hierarchical extension to the language modeling problem whereby a human-level exists to connect sequences of documents (e.g. social media messages) and capture the notion that human language is moderated by changing human states. We introduce, HaRT, a large-scale transformer model for the HuLM task, pre-trained on approximately 100,000 social media users, and demonstrate its effectiveness in terms of both language modeling (perplexity) for social media and fine-tuning for 4 downstream tasks spanning document- and user-levels: stance detection, sentiment classification, age estimation, and personality assessment. Results on all tasks meet or surpass the current state-of-the-art.

Cited by 1Open access

Invariant Language Modeling

Maxime Peyrard, Sarvjeet Ghotra, Martin Josifoski et al. · 2022

Maxime Peyrard, Sarvjeet Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.

Cited by 8Open access