ODSC - Open Data Science

APRIL 3, 2023

Her main research interests are in machine learning for large-scale language understanding and text semantics. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning. She is currently the president of the Association of Computational Linguistics.

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NYU Center for Data Science

JULY 24, 2024

I look forward to collaborating with researchers from diverse backgrounds, including NLP, machine learning, and psycholinguistics, to gain deeper insights into the emergence of rich representations in language models.” This multidisciplinary foundation has informed his unique approach to computational linguistics and machine learning.

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Marktechpost

JANUARY 22, 2024

As technology advances, solutions like Marlin play an important role in pushing the boundaries of what’s possible in computational linguistics. Its innovative techniques and optimizations make it a standout performer, capable of handling large-scale language understanding tasks with remarkable speed and reliability.

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NLP People

MAY 18, 2018

Key areas of their activity include text analytics, machine translation, human-robot interaction , and digital content creation. EDUCATION MSc Cognitive Systems University of Potsdam offers a two-year Master’s program that combines computational linguistics, machine learning, and knowledge representation and reasoning.

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Marktechpost

JANUARY 15, 2024

The success of AlignInstruct in enhancing machine translation for low-resource languages is a testament to the importance of innovative approaches in computational linguistics. The results showed that AlignInstruct significantly outperformed baseline models, especially when combined with MTInstruct.

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Ehud Reiter

SEPTEMBER 8, 2024

Computational Linguistics. ( [link] ) S Ballocu et al (2024). Questionable practices in machine learning. I also briefly described six recent (2024) evaluation research papers which I really liked: C Thomson et al (2024). Common Flaws in Running Human Evaluation Experiments in NLP. LLMs instead of Human Judges?

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Towards AI

JULY 8, 2024

They serve as the building blocks for more complex models and algorithms in the field of computational linguistics. The 2-gram model with more text, we can provide Example Output 2: bigram model, also known as the basics of computational linguistics. By using more context, it should improve its predictive accuracy.

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Marktechpost

FEBRUARY 2, 2024

In computational linguistics and artificial intelligence, researchers continually strive to optimize the performance of large language models (LLMs). For instance, models like GPT-3, with 175 billion parameters, require substantial GPU memory, highlighting a need for more memory-efficient and high-performance computational methods.

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NLP People

APRIL 10, 2019

While ETH does not have a Linguistics department, its Data Analytics Lab , lead by Thomas Hofmann , focuses on topics in machine learning, natural language processing and understanding, data mining and information retrieval. Research foci include Big Data technology, data mining, machine learning, information retrieval and NLP.

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Machine Learning Research at Apple

AUGUST 8, 2024

Apple is sponsoring the annual meeting of the Association for Computational Linguistics (ACL), which takes place in person from August 11 to 16, in Bangkok, Thailand.

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Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

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AssemblyAI

SEPTEMBER 18, 2023

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language.

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Marktechpost

AUGUST 12, 2023

This innovative tool was presented at the 2023 Association for Computational Linguistics (ACL) conference. The Text to Image Association Test offers a structured approach to assessing biases across several dimensions, such as gender, race, career, and religion.

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Marktechpost

JULY 15, 2023

These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples. This year, a paper presented at the Association for Computational Linguistics (ACL) meeting delves into the importance of model scale for in-context learning and examines the interpretability of LLM architectures.

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NLP People

OCTOBER 9, 2018

Example: You hired and successfully integrated a PhD in Computational Linguistics and can grant her the freedom to design new solutions for your business issues — she will likely be motivated to enrich the IP portfolio of your company. The folks here often split into two camps — the mathematicians and the linguists.

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NLP People

JUNE 5, 2018

The company is always on the hunt for people with NLP, machine learning, data engineering, and data science background and offers a handful of open job and internship positions in the related sub-fields across Amazon’s offices in Germany. Open job positions can be looked up here. Their open positions can be viewed here.

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AWS Machine Learning Blog

MAY 22, 2023

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Andrey Kan is a Senior Applied Scientist at AWS AI Labs within interests and experience in different fields of Machine Learning. “Know What You Don’t Know: Unanswerable Questions for SQuAD.”

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AWS Machine Learning Blog

MARCH 2, 2023

Thomas Chapelle is a Machine Learning Engineer at Weights and Biases. He also builds content on MLOPS, applications of W&B to industries, and fun deep learning in general. Ana has had several leadership roles at startups and large corporations such as Intel and eBay, leading ML inference and linguistics related products.

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Heartbeat

FEBRUARY 21, 2023

Picture by Anna Nekrashevich , Pexels.com Introduction Sentiment analysis is a natural language processing technique which identifies and extracts subjective information from source materials using computational linguistics and text analysis. Spark NLP is a natural language processing library built on Apache Spark.

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Topbots

JUNE 15, 2023

70% of research papers published in a computational linguistics conference only evaluated English.[ In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Association for Computational Linguistics. Association for Computational Linguistics.

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NLP People

SEPTEMBER 12, 2017

This job brought me in close contact with a large number of IT researchers, and some of them happened to work in computational linguistics and machine learning. Now that I have been accepted, I am learning a lot every single day, and the learning curve is very steep (Python, linear algebra, machine learning).

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Defined.ai blog

AUGUST 3, 2023

What is Machine Translation? Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another. But no matter the type, all machine translation has one goal: to make communication effortless and efficient across different languages.

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Bugra Akyildiz

JULY 16, 2023

However, existing methods are difficult to reproduce or build on, due to private code, data, and large compute requirements. This has created substantial barriers to research on machine learning methods for theorem proving.

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Explosion

DECEMBER 28, 2019

Jan 28: Ines then joined the great lineup of Applied Machine Learning Days in Lausanne, Switzerland. Sofie has been involved with machine learning and NLP as an engineer for 12 years. Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012.

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Topbots

JANUARY 30, 2023

In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2] Association for Computational Linguistics. [4] Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data. 10.48550/arXiv.2212.08120.

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Heartbeat

FEBRUARY 8, 2023

Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence. Because of its consistent syntax and human-like language, it is also one of the languages that are easiest for beginners to learn.

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Snorkel AI

JUNE 14, 2023

Let’s double-click into correctness to describe our approach on how technology, and specifically machine learning and natural language processing, can come together in a very user-centric way to solve real problems that our users face every single day. We take that writing and pre-process that.

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Snorkel AI

JUNE 14, 2023

Let’s double-click into correctness to describe our approach on how technology, and specifically machine learning and natural language processing, can come together in a very user-centric way to solve real problems that our users face every single day. We take that writing and pre-process that.

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Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

John Snow Labs

DECEMBER 26, 2023

Sentiment analysis can uncover the underlying sentiments that impact people’s perceptions and decisions by utilizing different NLP and machine learning approaches. Learning Word Vectors for Sentiment Analysis. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Daly, Peter T.

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Sebastian Ruder

NOVEMBER 14, 2022

For instance, while we can observe a slight upward trend in the number of authors affiliated with African universities publishing at top machine learning (ML) and NLP venues, this increase pales compared to the thousands of authors from other regions publishing in such venues every year. Journal of Machine Learning Research, 21.

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The Stanford AI Lab Blog

OCTOBER 13, 2021

In Association for Computational Linguistics (ACL), pp. In International Conference on Machine Learning (ICML), 2019. ↩ Hussein Mozannar and David Sontag. Consistent estimators for learning to defer to an expert. Consistent estimators for learning to defer to an expert. 151–159, 2020. ↩ C.

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Viso.ai

JULY 18, 2024

Machine learning especially Deep Learning is the backbone of every LLM. Emergence and History of LLMs Artificial Neural Networks (ANNs) and Rule-based Models The foundation of these Computational Linguistics models (CL) dates back to the 1940s when Warren McCulloch and Walter Pitts laid the groundwork for AI.

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The Stanford AI Lab Blog

JANUARY 21, 2022

Conference of the North American Chapter of the Association for Computational Linguistics. ↩ Devlin, J., Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. Journal of Machine Learning Research. ↩ Conneau, A., Unsupervised Cross-lingual Representation Learning at Scale.

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Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP).   Benchmarking and evaluation are the linchpins of scientific progress in machine learning and NLP. Transactions of the Association for Computational Linguistics, 9, 978–994. Schneider, R.,

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Applied Data Science

DECEMBER 23, 2022

The idea is (as most successful ideas in machine learning are) rather simple: these models slowly destroy the original mages by adding random noise to it and then learn how to remove this noise. In this way, they learn what matters about the data. As humans we do not know exactly how we learn language: it just happens.

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Sebastian Ruder

FEBRUARY 23, 2023

Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. Due to their size, fine-tuning has become expensive while alternatives, such as in-context learning are often brittle in practice. Machine translation. For more resources, check out modulardeeplearning.com.

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Ines Montani

MAY 9, 2017

This is what makes open-source NLP and machine learning software different from a lot of other open-source tools. to adding tokenizer exceptions for Bengali or Hebrew. Our users like spaCy because they’re building applications using NLP and want to do this as efficiently as possible.

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