Allen AI

JULY 8, 2023

This research posits that simply scaling up models will not imbue them with theory of mind due to the inherently symbolic and implicit nature of the phenomenon, and instead investigate an alternative: can we design a decoding-time algorithm that enhances theory of mind of off-the-shelf neural language models without explicit supervision?

Computational Linguistics 52

Computational Linguistics NLP Explainability AI Research 52

NLP People

JUNE 5, 2018

The company utilises algorithms for targeted data collection and semantic analysis to extract fine-grained information from various types of customer feedback and market opinions. Their products are language-agnostic as they use deep learning in the development of their algorithms. For open job positions visit their job section.

NLP 52

NLP Data Mining Deep Learning Machine Learning 52

Topbots

JUNE 15, 2023

70% of research papers published in a computational linguistics conference only evaluated English.[ A comprehensive explanation of the BPE algorithm can be found on the HuggingFace Transformers course. In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Defined.ai blog

AUGUST 3, 2023

Machine translation is a subfield of computational linguistics that uses software to translate text or speech from one language to another. We can expect NMT systems to produce even more accurate and natural-sounding translations as we feed more data into these systems and refine their algorithms. What is Machine Translation?

Computational Linguistics 52

Computational Linguistics Neural Network Algorithm Machine Learning 52

Marek Rei

NOVEMBER 4, 2024

Linguistic Parameters of Spontaneous Speech for Identifying Mild Cognitive Impairment and Alzheimer Disease Veronika Vincze, Martina Katalin Szabó, Ildikó Hoffmann, László Tóth, Magdolna Pákáski, János Kálmán, Gábor Gosztolya. Computational Linguistics 2022. University of Szeged.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Topbots

JANUARY 30, 2023

We are quick to attribute intelligence to models and algorithms, but how much of this is emulation, and how much is really reminiscent of the rich language capability of humans? In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. 10.48550/arXiv.2212.08120.

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52

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. The project I was working on was aimed at encouraging school students to consider a career in IT.

Computational Linguistics 52

Computational Linguistics Machine Learning Data Mining Natural Language Processing 52

AWS Machine Learning Blog

MAY 22, 2023

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Dr. Ashish Khetan is a Senior Applied Scientist with Amazon SageMaker built-in algorithms and helps develop machine learning algorithms. “Scaling instruction-fine tuned language models.”

Machine Learning 112

Machine Learning Natural Language Processing Computational Linguistics NLP 112

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. So caution is from now required when hearing that some algorithm achieved super-human performance in a game.

Neural Network 52

Neural Network Data Science AI AI 52

The Stanford AI Lab Blog

JANUARY 21, 2022

Indeed, this recipe of massive, diverse datasets combined with scalable offline learning algorithms (e.g. Replicating these impressive generalization and adaptation capabilities in robot learning algorithms would certainly be a step toward robots that can be used in unstructured, real world environments. Neumann, M., Gardner, M.,

Robotics 40

Robotics Computational Linguistics BERT Computer Vision 40

AWS Machine Learning Blog

MARCH 2, 2023

He spent 10 years as Head of Morgan Stanley’s Algorithmic Trading Division in San Francisco. Ana has had several leadership roles at startups and large corporations such as Intel and eBay, leading ML inference and linguistics related products. He is an Expert Advisor of Digital Technologies for Circular Economy with United Nations.

BERT 98

BERT Deep Learning Metadata Auto-complete 98

Explosion

DECEMBER 17, 2013

Today, almost all high-performance parsers are using a variant of the algorithm described below (including spaCy). This doesn’t just give us a likely advantage in learnability; it can have deep algorithmic implications. But the parsing algorithm I’ll be explaining deals with projective trees.

Python 45

Python Algorithm NLP Computational Linguistics 45

Explosion

MAY 8, 2016

The algorithmic changes needed to process German are an important step towards processing many other languages. German word order and morphology are still relatively restricted, so we can make the necessary algorithmic changes without being overwhelmed by the additional complexity. German is the perfect language to unwind these.

Convolutional Neural Networks 40

Convolutional Neural Networks NLP Algorithm Neural Network 40

Sebastian Ruder

NOVEMBER 14, 2022

Initiatives   The Association for Computational Linguistics (ACL) has emphasized the importance of language diversity, with a special theme track at the main ACL 2022 conference on this topic. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. Computational linguistics, 47(2), 255-308.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

Viso.ai

JULY 18, 2024

If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM). An easy way to describe LLM is an AI algorithm capable of understanding and generating human language.

Large Language Models 52

Large Language Models Neural Network Natural Language Processing BERT 52

The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. are used to classify the text sentiment.

BERT 52

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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. We’d also do a little NLP project in R with the “sentimentr” package.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

Sebastian Ruder

FEBRUARY 23, 2023

As discrete decisions cannot be learned directly with gradient descent, methods learn hard routing via reinforcement learning, evolutionary algorithms, or stochastic re-parametrisation.  Hard learned routing models the choice of whether a module is active as a binary decision. Soft learned routing.  Soft

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

Sebastian Ruder

JANUARY 24, 2022

In mathematics, ML was shown to be able to guide the intuition of mathematicians in order to discover new connections and algorithms [77]. Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. Schneider, R.,

NLP 52

NLP ML BERT Computational Linguistics 52

Sebastian Ruder

JUNE 6, 2022

The initiative focuses on making Computational Linguistics (CL) research accessible in 60 languages and across all modalities, including text/speech/sign language translation, closed captioning, and dubbing. Another useful aspect of the initiative is the curation of the most common CL terms and their translation into 60 languages.

NLP 52

NLP Natural Language Processing Computational Linguistics Neural Network 52

Unite.AI

JANUARY 10, 2025

The platform uses machine learning and smart algorithms to shape more effective, personalized marketing automation. In just 30 seconds, Jacquard can generate 2,500 unique message variants that stay true to your brand voice, thanks to over 50 customizable language settings and oversight from computational linguists.

Automation 165

Automation AI AI Computational Linguistics 165

ML Review

MARCH 5, 2019

Word embeddings Visualisation of word embeddings in AI Distillery Word2vec is a popular algorithm used to generate word representations (aka embeddings) for words in a vector space. Then, the algorithm proceeds with the following word as the new centre word, i.e. “learning”, sets up the new context, and repeats the same procedure.

AI 40

AI AI Computer Vision Computational Linguistics 40

NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. The other major challenge is the labeled data bottleneck : strictly speaking, most state-of-the-art algorithms are supervised. 2018) present an excellent overview of the state-of-the-art algorithms.

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

ODSC - Open Data Science

MARCH 6, 2024

Artificial Intelligence has made significant strides since its inception, evolving from simple algorithms to highly advanced Neural Networks capable of performing sophisticated tasks such as generating completely new content, including images, audio, and video.

Responsible AI 52

Responsible AI Generative AI Natural Language Processing Artificial Intelligence 52

ML @ CMU

SEPTEMBER 22, 2023

An algorithm audit 1 is a method of repeatedly querying an algorithm and observing its output in order to draw conclusions about the algorithm’s opaque inner workings and possible external impact. Auditing Algorithms: Understanding Algorithmic Systems from the Outside In Found. Trends Human Computer Interaction. [2]

Computational Linguistics 105

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