2025-04-02
Enhancing Rhetorical Role Labeling with Training-Time Neighborhood Learning
This section shows that contrastive learning, discourse-aware loss, and multi-prototype methods improve rhetorical role labeling by enhancing embeddings and addressing class imbalance, particularly in low-data settings.
How to Process Large Files in Data Indexing Systems
Learn best practices for handling large files in data indexing systems. Understand processing granularity, fan-in/fan-out scenarios, and strategies for efficient processing of large datasets like patent XML files. Discover how...
"Everyone is way better than they think"
#ceo #founder #shopify #potential
How Long Can AI Companies Maintain a $20 Monthly Subscription Fee?
AI companies like OpenAI are struggling to balance subscription costs and usage-based pricing. While DeepSeek claims a 545% profit margin, other companies face the high cost of GPU usage, leading...
The TechBeat: Hallucination by Design: How Embedding Models Misunderstand Language (4/2/2025)
How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set...
Why product managers are getting fired – Dave Wascha (CPTO and Advisor)
Product management is facing a crisis — and Dave Wascha calls it The Reckoning. In this episode, Dave joins Lily and Randy to unpack the growing backlash against the product...
Oh man, rest in peace to Val Kilmer....
Oh man, rest in peace to Val Kilmer. 💬 Join the discussion on kottke.org →
“Watch the moment when Cory Booker ended his more than 25-hour long...
“Watch the moment when Cory Booker ended his more than 25-hour long Senate speech.”
2025-04-01
Octopus v2: An On-Device Language Model for Super Agent
Language models have shown effectiveness in a variety of software applications, particularly in tasks related to automatic workflow.
Supervised Models for Clinical Text: Evaluating SVM and BERT Performance
We performed a sentence-level classification using SVM and BERT. The entity-level annotation were converted to sentence-level.
Guidelines for Annotating Social Support and Social Isolation in Clinical Notes
Annotators will annotate all mentions in a clinical note that indicate the presence (or absence) of present/past SI and SS.
Benchmarks from M2 Pro to M4 Pro
Long story short, I picked up a new MacBook Pro this week. I got the M4 Pro version with the higher core count and 1TB of internal storage. It's the...
Open-Source NLP Systems for Identifying Social Support and Isolation in Psychiatric Notes
We offer two open-source NLP systems with different approaches, as well as a manual annotation guideline for identifying SS and SI.
NLP Performance in Clinical Notes: Addressing Data Limitations and System Overfitting
There were insufficient instances in the notes of the emotional support subcategories to evaluate the NLP systems.
Bitunix Launches The World's First K-Line Ultra App With TradingView Integration
Bitunix exchange has announced that it has launched the Ultra version of the K-line (candlesticks) on its mobile app integrated with TradingView. This advanced charting system transforms the mobile trading...
Product Management in the Twilight Zone
How to Stay Effective When Uncertainty is the Only Constant
Natural Language Processing for Risk Assessment: Identifying SI/SS in Psychiatric Notes
This study presents rule- and LLM-based NLP systems to identify fine-grained categories of SS and SI in clinical notes of psychiatric patients
SEED Opens A New Chapter For GameFi Narrative After Hitting Top 1 NFT Collection On Sui
SEED is the first Web3 gaming ecosystem on the Sui Foundation. SEED Go is the team's next big step in Play-to-Earn - a location-based game. Adventure Mode is where players...
Extracting Social Support and Isolation Info From Clinical Notes: Demo and System Performance
The demographic characteristics of patients within the annotated cohort are detailed in Table 2. Notably, the patient composition at MSHS was younger and more diverse as compared to patients at...
Developing Rule and LLM-Based Systems to Identify Mentions of Fine-Grained Categories
We developed rule- and LLM-based systems to identify mentions of fine-grained categories in clinical notes.
Welcome to Postreads
Discover and follow the best content from across the web, all in one place. Create an account to start building your personalized feed today.
