Marktechpost

MARCH 7, 2024

In the ever-evolving landscape of computational linguistics, bridging language barriers has led to remarkable innovations, particularly in regions characterized by a rich tapestry of languages. Southeast Asia, with its linguistic diversity, presents a unique challenge for language technology.

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Marktechpost

JANUARY 30, 2024

Language Agents represent a transformative advancement in computational linguistics. In conclusion, the Uncertainty-Aware Language Agent methodology marks a significant leap forward in computational linguistics. They leverage large language models (LLMs) to interact with and process information from the external world.

Computational Linguistics 123

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Marktechpost

DECEMBER 26, 2023

Computational linguistics focuses on developing advanced language models capable of understanding and generating human language. This dynamic field integrates the latest in machine learning and artificial intelligence, striving to create models that grasp the intricacies of language.

Computational Linguistics 137

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Marktechpost

MARCH 10, 2024

In the ever-evolving field of computational linguistics, the quest for models that can seamlessly generate human-like text has led researchers to explore innovative techniques beyond traditional frameworks.

Computational Linguistics 126

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deepsense.ai

MAY 4, 2023

deepsense.ai’s research paper “TrelBERT: A pre-trained encoder for Polish Twitter” has been accepted for presentation at the 9th Biennial Workshop on Slavic NLP (SlavNLP-2023), a part of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL).

NLP 52

NLP Computational Linguistics Natural Language Processing 52

Allen AI

JULY 7, 2023

In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1115–1127, Seattle, United States. Association for Computational Linguistics. Association for Computational Linguistics.

Computational Linguistics 98

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Explosion

JUNE 11, 2024

in computational linguistics from the Univ. Get ready for an enlightening journey into the world of AI and natural language understanding with Dr. Matthew Honnibal, Founder of Explosion.ai In our latest podcast episode, Dr. Honnibal, armed with a Ph.D.

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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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LLM Computational Linguistics Large Language Models Artificial Intelligence 127

Marktechpost

APRIL 20, 2024

Exploring the synergy between reinforcement learning (RL) and large language models (LLMs) reveals a vibrant area of computational linguistics.

Machine Learning 137

Machine Learning Computational Linguistics Large Language Models LLM 137

Marktechpost

MARCH 2, 2024

The emergence of Large Language Models (LLMs) has notably enhanced the domain of computational linguistics, particularly in multi-agent systems. Despite the significant advancements, developing multi-agent applications remains a complex endeavor.

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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.

Computational Linguistics 82

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Marktechpost

MAY 12, 2024

Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models (LLMs). It simplifies data, thereby facilitating quicker computations and more efficient model performance.

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Large Language Models Computational Linguistics Algorithm LLM 117

Towards AI

DECEMBER 28, 2023

It combines statistics and mathematics with computational linguistics. Last Updated on December 30, 2023 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI.

Natural Language Processing 91

Natural Language Processing Python Computational Linguistics NLP 91

Marktechpost

MAY 11, 2024

The ability to construct and evaluate theories regarding language phenomena within computational models is made possible by linguistic expertise, which closes the gap between theoretical linguistics and real-world NLP applications. Study of language: Linguistic expertise is essential to developing NLP’s language study.

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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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Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 128

Marktechpost

MAY 13, 2024

Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations.

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Automation Computational Linguistics Large Language Models Natural Language Processing 103

Marktechpost

MAY 14, 2024

Research in computational linguistics continues to explore how large language models (LLMs) can be adapted to integrate new knowledge without compromising the integrity of existing information.

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Categorization Computational Linguistics Large Language Models Machine Learning 105

Marktechpost

MARCH 12, 2024

The advent of large language models (LLMs) has ushered in a new era in computational linguistics, significantly extending the frontier beyond traditional natural language processing to encompass a broad spectrum of general tasks.

Chatbots 123

Chatbots Computational Linguistics Large Language Models LLM 123

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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Large Language Models LLM Computational Linguistics Artificial Intelligence 134

Marktechpost

APRIL 29, 2024

In computational linguistics, much research focuses on how language models handle and interpret extensive textual data. These models are crucial for tasks that require identifying and extracting specific information from large volumes of text, presenting a considerable challenge in ensuring accuracy and efficiency.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Computational Linguistics Data Extraction 105

NYU Center for Data Science

JULY 24, 2024

Ravfogel holds a BSc in both Computer Science and Chemistry from Bar-Ilan University, as well as an MSc in Computer Science from the same institution. This multidisciplinary foundation has informed his unique approach to computational linguistics and machine learning. By Stephen Thomas

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Natural Language Processing Computational Linguistics Neural Network Machine Learning 57

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.

Computational Linguistics 122

Computational Linguistics Large Language Models LLM BERT 122

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.

Computational Linguistics 98

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NLP People

MAY 18, 2018

Cluster of Excellence on “Multimodal Computing and Interaction”, Saarland University MMCI Cluster of Excellence is a collaborative top-research facility, bringing together computer science, software systems, and computational linguistics. in Computational Linguistics, and PhD opportunities.

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Ehud Reiter

SEPTEMBER 8, 2024

Computational Linguistics. ( [link] ) S Ballocu et al (2024). 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. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs.

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Allen AI

JULY 8, 2023

Highlighted work from our institute appearing at this year’s ACL conference The 61st Annual Meeting of the Association for Computational Linguistics logo The 61st Annual Meeting of the Association for Computational Linguistics (ACL) is the premier conference in the field of computational linguistics, covering a broad spectrum of diverse research areas (..)

Computational Linguistics 52

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Ehud Reiter

OCTOBER 10, 2023

BLEU survey: better presentation of results Another example is my 2018 paper which presented a structured survey of the validity of BLEU; this was published in Computational Linguistics journal. In short, by insisting that we do a proper evaluation, the reviewers massively improved our paper.

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Unite.AI

NOVEMBER 21, 2023

Speech Recognition and Processing Speech Recognition and Processing is a subfield of AI and computational linguistics that focuses on developing systems capable of recognizing and interpreting human speech. Other types of sensory input include the following.

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Robotics Computer Vision Computational Linguistics AI 211

Marktechpost

JULY 15, 2023

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. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

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Large Language Models AI Research AI Researcher Computational Linguistics 96

Marktechpost

AUGUST 15, 2024

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. Accurately processing metaphors is vital for various NLP applications, including sentiment analysis, information retrieval, and machine translation.

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NLP Large Language Models Computational Linguistics Neural Network 64

Marktechpost

MARCH 22, 2024

This significant advancement in task-agnostic prompt compression enhances the practical usability of LLMs and opens new avenues for research and application in computational linguistics and beyond. Check out the Paper. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter.

Large Language Models 59

Large Language Models Computational Linguistics ML Artificial Intelligence 59

NLP People

APRIL 10, 2019

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection.

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Ehud Reiter

JUNE 6, 2023

So I hope more researchers consider submitting papers to TACL or other journals such as Computational Linguistics !

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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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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.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

The Stanford AI Lab Blog

FEBRUARY 1, 2022

In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5370-5381, Florence, Italy. Association for Computational Linguistics. ↩ Sheryl Brahnam. Interact 2005 work- shop Abuse: The darker side of Human-Computer Interaction , pages 62–67. ↩ John Suler.

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Computational Linguistics Chatbots Robotics Natural Language Processing 40

ODSC - Open Data Science

APRIL 3, 2023

She is currently the president of the Association of Computational Linguistics. Euro) in 2021. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning.

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Neural Network Natural Language Processing NLP Computational Linguistics 117