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A Guide to Computational Linguistics and Conversational AI

Towards AI

if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. In this article, we will dig into the basics of Computational Linguistics and Conversational AI and look at the architecture of a standard Conversational AI pipeline.

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Natural Language Processing in Python: 10+ Packages You Can’t Miss (with Code)

Towards AI

It combines statistics and mathematics with computational linguistics. NLTK stands for Natural Language Toolkit, comprising Python modules, datasets, corpora, and tutorials designed for Natural Language Processing (NLP). It stands as one of the most revered and recognized packages in Python, demonstrated by its impressive 12.6k

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The three levels of NLP for your business

NLP People

In the past years, the tech world has seen a surge of NLP applications in various areas including adtech, publishing, customer service and market intelligence. To put it simply – NLP is wildly adopted with wildly variable success (let’s assume a working definition of success in terms of quality and ROI).

NLP 52
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ACL vs TACL Reviewing

Ehud Reiter

This year I got a good perspective on this issue, because I was both an Action editor at TACL ( Transactions of the ACL ), which is a leading NLP journal; and a Senior Area Chair for the ACL conference , which is a leading NLP conference. The choice is done manually, not algorithmically. Review process?

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NLP Landscape: Germany (Industry & Meetups)

NLP People

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

NLP 52
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AI2 at ACL 2023

Allen AI

NLPositionality: Characterizing Design Biases of Datasets and Models Sebastin Santy, Jenny Liang, Ronan Le Bras*, Katharina Reinecke, Maarten Sap* Design biases in NLP systems, such as performance differences for different populations, often stem from their creator’s positionality, i.e., views and lived experiences shaped by identity and background.

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The Pros and Cons of using free datasets for Aspect-Based Sentiment Analysis

Defined.ai blog

Using sentiment analysis algorithms, text sentiment is classified for each identified aspect as positive, negative, or neutral. Whether you’re working on a big NLP project or just need to get a modest sentiment analysis model jumpstarted, Defined.ai has your back.

NLP 52