Defined.ai blog

MARCH 23, 2023

Using sentiment analysis algorithms, text sentiment is classified for each identified aspect as positive, negative, or neutral. For example, in the above restaurant review, the aspects might include “food” and “service” Classifying text sentiment with respect to each identified aspect.

NLP 52

NLP Computational Linguistics Computational Semantics Natural Language Processing 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 Natural Language Processing 52

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 AI AI Data Science 52

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

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

BERT Natural Language Processing ML Deep Learning 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.”

Natural Language Processing 91

Natural Language Processing Machine Learning Computational Linguistics NLP 91

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

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

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

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 LLM Computational Linguistics Natural Language Processing 52

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 AI 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

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 Computer Vision BERT 40

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 Data Mining Machine Learning Natural Language Processing 52

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 75

BERT Deep Learning Metadata Auto-complete 75

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

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

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

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 112

Computational Linguistics LLM Large Language Models Algorithm 112

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

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