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Natural Language Processing
Text, speech, translation, and retrieval with modern NLP techniques.
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EmbeddingGemma 2: Multimodal Search for the Cost of a Text Model
1+ hour, 42+ min ago (1400+ words) Google’s EmbeddingGemma 2, released on 6 October 2026, puts all of that into one open model. Text, code, images, audio and video all go into the same 768-number space. A typed query like “waves crashing on the shore” can land right next to…...
Palindrome Partitioning: The MCM Skeleton With a New `tempAns`
1+ hour, 38+ min ago (415+ words) Matrix Chain Multiplication had matrices and multiplication costs. Palindrome Partitioning has a string and cuts. The problems look nothing alike. But once you map the structure, the skeleton is identical and only tempAns changes. Given a string, partition it so…...
Your intent classifier is 12 points worse in Portuguese: benchmarking Laya, Strands Decider and Qwen3 embeddings
5+ hour, 47+ min ago (525+ words) A conversational agent first has to decide what the customer wants. I measured that step for customer-service messages in Brazilian Portuguese (PT-BR), using two small "decider" models and two embedding models. Then I translated the whole dataset into English and…...
Affective Analytics and the Human Emotional Experience
6+ hour, 3+ min ago (230+ words) Whether you are happy, grumpy, excited, or sad, a computer wants to know and can initiate affective analytics. What is affective analytics? As affective analytics matures, I expect challenges to arise in adapting algorithms for a wide variety of individuals…...
What Is Natural Language Processing And Affective Computing?
6+ hour, 3+ min ago (190+ words) By Mark Esposito, Grenoble École de Management (GEM); Kariappa Bheemaiah, Grenoble École de Management (GEM), and Terence Tse, ESCP Europe What are the natural extensions of machine learning (ML) and deep learning as well as natural language processing (NLP) and…...
New LoRA-Based Method Steers Language Models Toward Specific Human Values
4+ hour, 35+ min ago (53+ words) Researchers have developed ValuePEFT, a parameter-efficient fine-tuning method that steers large language models toward explicitly specified human values with measurable accuracy gains. Article Title: ValuePEFT: an effective method for steerable multi-level human values in LLMs News Source: Denise Maddox. (October…...
Eight Emotions, 34,792 Tweets, and One Label I Don't Fully Trust
10+ hour, 13+ min ago (303+ words) One example in my sentiment project still bothers me. The dataset contains the text "I have a feeling i will fail french #fuckfrench", and its label is joy. A human would read that as anxious or frustrated. I will come…...
TALKING TO MACHINES · AN INTRODUCTORY SERIES ON NATURAL LANGUAGE PROCESSING. Episode 7: Contextual Embeddings
12+ hour, 56+ min ago (1261+ words) One word can mean two different things. In this episode we give every word a vector that changes with the sentence around it, the idea that quietly started the modern era of language models. That works until a word means…...
What is natural language processing (NLP)?
20+ hour, 52+ min ago (1383+ words) Natural language processing (NLP) is the ability of a computer program to understand human language as it's spoken and written -- referred to as natural language. It's a component of AI. Computers with NLP capabilities can not only recognize and understand…...
Does AI Understand the "Meaning of Words"? — Understanding Natural Language Processing (NLP) Head-On 【📚 100 Selected AI Lessons, Part 65】
3+ day, 11+ hour ago (406+ words) One night, Yu was watering the bonsai on the balcony while looking at their smartphone. "Akira, can I ask you something?" When they called out from the next room, Akira opened the door and poked their head out. "What is…...