Natural Language Processing news and analysis on Web Pulse: 3949 curated articles tracking the latest Natural Language Processing developments, tools, and research, updated continuously from vetted sources.
Researchers Mohamed Bahgat, Steven R Wilson, and Walid Magdy introduced Lexpansion, a supervised learning approach that uses dictionary definitions as input features to a BERT transformer model to expand lexicons for soc…
Researchers Max Brede, Felix Schönbrodt, Birk Hagemeyer, and Veronika Lerche introduced the Automated Motive Coder (AMC), a machine learning tool that automates coding of Picture Story Exercise (PSE) narratives with accu…
Eileen Wemmer and Carsten Röcker, in a paper presented at the First Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI) @ICWSM '25 in Copenhagen, Denmark, argue that Self-Determination Theory …
Researchers from the University of Adelaide and the University of Western Australia developed a hybrid model using large language models (LLMs) to predict successful persuasion in online discourse, finding that epistemic…
Researchers Jari Zegers and Bennett Kleinberg found limited evidence that large language model (LLM) text generation can predict psychological variables in longitudinal datasets, but observed topic differences between ge…
Boing Boing reports that UmanWrite, an AI writing platform that humanizes AI-generated content and checks it against AI detectors, is now available for $79 for the Unlimited Plan, down from $1,799. The tool adapts to the…
Mistral AI released Shieldstral on August 4, 2026, a 3B-parameter open-weights safety classifier that judges text and images against moderation policies written in plain language at inference time, rather than a fixed se…
OpenAI co-founder and president Greg Brockman said voice will be the interface of the future, calling the current era of clicking and typing a 'phase' that people will abandon within a few years. OpenAI launched ChatGPT …
Snowflake's Cortex AISQL enables an HR screening pipeline that uses AI_FILTER, AI_CLASSIFY, and AI_AGG to shortlist candidates based on semantic reasoning rather than keyword matching. The pipeline, demonstrated with ten…
Kakao's Kanana-o model now accepts plain-language voice instructions such as 'read it in a sad voice' or 'read it in a Gyeongsang dialect', reflecting them in speed, volume, pitch, emotion, intonation, and intensity. On …
A comparison of two personal-data detection models by an unnamed company reversed when the evaluation dataset changed, showing that benchmark choice can flip conclusions. On the company's own 1,800-example corpus, its ex…
A developer seeking advice on building a retrieval-augmented generation (RAG) system for government and internal organizational documents asks about optimal chunk sizes for BM25 and semantic search (cosine similarity) re…
AI4Bharat at IIT Madras and Josh Talks launched a broader Voice of India evaluation platform in New Delhi on August 4, 2026, expanding beyond its earlier speech-recognition benchmark to cover voice, language, vision, and…
Semrush has updated its keyword research workflow with AI features that combine its existing keyword data with domain-level context, aiming to give marketers faster recommendations without relying on unverified search-vo…
A developer's three-month trial of Claude and other AI tools for work found them useful for search and summarization but not for writing code, according to a personal review published on a programming blog. The author, w…
A developer exploring local AI tasks found that writing custom code to handle natural language queries would be faster than LLM inference but would fail on complex prompts due to the inherent complexity and edge cases of…
Kakao, the operator of KakaoTalk, has upgraded the voice generation technology in its omni AI model Kanana-o, allowing users to control tone, speed, emotions, and accents through natural-language text prompts. The update…
Kakao detailed improvements to its Kanana-o speech model on August 4, 2026, enabling users to control speaking speed, volume, pitch, emotion, intonation, and dialect via natural-language prompts. In Kakao's Korean Instru…
A new study from arXiv (2608.00045v1) finds that textual descriptors alone can predict early-stage startup success, defined as Exit, without relying on contextual, financial, or human capital variables. Analyzing 7,419 s…
Researchers introduced Semantic-Aware Kernel Entropy (SAKE), a training-free guidance method for text diffusion models that computes order-2 Rényi entropy over a kernel Gram matrix to balance fidelity and diversity. SAKE…