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. Create a document assembler document = DocumentAssembler().setInputCol("text").setOutputCol("document")

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NLP Natural Language Processing Machine Learning Computational Linguistics 52

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. An essential resource in SMT and NMT systems is parallel corpora , sets of documents with the same content in two or more languages. What kind of documents do you need to translate?

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The Stanford AI Lab Blog

MAY 25, 2022

The 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022 is taking place May 22nd - May 27th. We’re excited to share all the work from SAIL that’s being presented, and you’ll find links to papers, videos and blogs below.

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Computational Linguistics BERT Robotics Large Language Models 40

NLP People

JANUARY 2, 2019

Hundreds of researchers, students, recruiters, and business professionals came to Brussels this November to learn about recent advances, and share their own findings, in computational linguistics and Natural Language Processing (NLP).

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BERT Natural Language Processing Computational Linguistics NLP 52

NLP People

JUNE 5, 2018

Nuance Nuance is developing intelligent systems for medical documentation, as well as mobile and automotive sectors. From time to time the company hires NLP-related specialists for their office in Berlin. For more information check their jobs section.

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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. Supported tools include a Name finder, Tokenizer, Document categorization, POS tagger, Parser, Chunker, and Sentence detector.

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Bugra Akyildiz

JULY 16, 2023

In here, the distinction is that base models want to complete documents(with a given context) where assistant models can be used/tricked into performing tasks with prompt engineering. Natural language processing (NLP) or computational linguistics is one of the most important technologies of the information age.

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LLM Chatbots Neural Network Large Language Models 52

Mlearning.ai

FEBRUARY 6, 2023

OpenAI themselves have included some considerations for education in their ChatGPT documentation, acknowledging the chatbot’s use in academic dishonesty. A Chatbot Detector could pick up on the writing style of a human (since a human re-wrote the chatbot answer) and classify the document as human-written. Attention is not Explanation.

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Sebastian Ruder

DECEMBER 6, 2021

Open-Retrieval QA vs Reading Comprehension Open-retrieval QA focuses on the most general setting where given a question we first need to retrieve relevant documents from a large corpus such as Wikipedia. We then process these documents to identify the relevant answer as can be seen below. XQA ( Liu et al., TyDi QA ( Clark et al.,

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BERT NLP Natural Language Processing Computational Linguistics 52

Ines Montani

MAY 9, 2017

As we’re moving into a phase with more options for contributions, we want to encourage them where they make the biggest difference: language data, interoperation, tests and documentation. This includes everything you say and do – from documentation you write to issues you answer. to adding tokenizer exceptions for Bengali or Hebrew.

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NLP Natural Language Processing Deep Learning Computational Linguistics 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.

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Natural Language Processing NLP Computational Linguistics BERT 52

Explosion

DECEMBER 28, 2019

Adriane is a computational linguist who has been engaged in research since 2005, completing her PhD in 2012. Many of you might recognize Sebastián’s name as the author of FastAPI , the new Python library for modern REST APIs that’s quickly becoming the industry standard and is known for its incredible technical documentation.

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Sebastian Ruder

AUGUST 18, 2019

Later approaches then scaled these representations to sentences and documents ( Le and Mikolov, 2014 ; Conneau et al., Early approaches such as word2vec ( Mikolov et al., 2013 ) learned a single representation for every word independent of its context. 2017 ; Peters et al.,

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Sebastian Ruder

JANUARY 24, 2022

Transactions of the Association for Computational Linguistics, 9, 978–994. Transactions of the Association for Computational Linguistics, 9, 570–585. End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. Documenting the English Colossal Clean Crawled Corpus.

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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. We make practical recommendations such as documenting dialect, style, and register information in datasets.

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NLP Natural Language Processing Computational Linguistics Neural Network 52

Explosion

MAY 8, 2016

In the same way that a physicist might assume a frictionless surface or a spherical cow , sometimes it’s useful for computational linguists to assume projective trees and context-free grammars. The language-specific part-of-speech tags use the Stuttgart-Tübingen Tag Set (STTS) (document in German). It’s a simplifying assumption.

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Probably Approximately a Scientific Blog

JULY 13, 2015

You expect the search engine to retrieve the following documents: Figure 1: search results for the query "actor Scientology" that don't directly involve the word "actor" since they are talking about a certain actor (Tom Cruise or John Travolta) and Scientology. However, what if these documents don't contain the word actor ?

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Computational Linguistics Natural Language Processing NLP 52

ML Review

MARCH 5, 2019

Apart from averaging the word vectors of all the words within a paper, there are also specialised approaches to learn embeddings for whole documents. Both LSA and doc2vec allow us to take documents of text and embed them in a vector space. In our case, we deliberately use the whole full-text of an ArXiv submission as the document.

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AI AI Computer Vision Computational Linguistics 40

Unite.AI

NOVEMBER 6, 2023

language models that promise to elevate the standard of AI interactivity and computational linguistics. Its context window is now expanded to 16K, allowing for a more robust understanding of longer conversations and documents. Turbo, an intermediary yet powerful model, also receives significant enhancements.

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AWS Machine Learning Blog

AUGUST 8, 2024

Improved documentation for generative AI – Recognizing the importance of comprehensive documentation to support the growing generative AI ecosystem, Cisco collaborated with the AWS team to enhance the SageMaker documentation.

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NLP People

JULY 24, 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) is starting this week in Florence, Italy. And, by the way, you can embed not only words, but also other things such as senses, sentences and whole documents. Neural Networks are the workhorse of Deep Learning (cf.

NLP 52

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Probably Approximately a Scientific Blog

OCTOBER 30, 2017

Association for Computational Linguistics (ACL)" ) or considering all the word sequences that start with these initials, and deciding on the correct one using rules or a machine-learning based solution. The problem starts when we want to capture the semantics of a multi-word expression (or a sentence, or a document).

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Natural Language Processing NLP Machine Learning Computational Linguistics 52