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Related websites
Natural Language Processing - IBM Research
Nov 19, 2024 · natural language processing Much of the information that can help transform enterprises is locked away in text, like documents, tables, and charts. We’re building advanced AI systems that can parse vast bodies of text to help unlock that data, but also ones flexible enough to be applied to any language problem.
Research.ibm.comDeep Learning on Graphs for Natural Language Processing - IBM …
Abstract. Recently, there has been a surge of interest in applying deep learning on graphs techniques (i.e., Graph Neural Networks (GNNs)) to NLP, and has achieved considerable success in many NLP tasks.
Research.ibm.comHow Intel oneAPI tools are accelerating IBM’s Watson Natural …
May 18, 2023 · The IBM Watson natural language processing Library helps to develop enterprise-ready solutions through robust AI models, extensive language coverage and scalable container orchestration. The library form provides the flexibility to deploy natural language AI in any environment, and clients can take advantage of the improved performance on Intel fourth …
Research.ibm.com自然语言处理 - 知乎
Apr 24, 2020 · 自然语言处理，英文natural language processing，简写NLP。NLP这个概念本身过于庞大，可以把它分成“自然语言”和“处理”两部分。
Zhihu.comSustaiNLP 2023: Fourth Workshop on Simple and Efficient …
Abstract. The natural language processing (NLP) community has, in recent years, demonstrated a notable focus on improving higher scores on standard benchmarks and taking the lead on community-wide leaderboards (e.g., GLUE, SentEval).
Research.ibm.comXNLP: A living survey for XAI research in natural language …
Abstract. We present XNLP: an interactive browser-based system embodying a living survey of recent state-of-the-art research in the field of Explainable AI (XAI) within the domain of natural language processing (NLP).
Research.ibm.comWhat are foundation models? - IBM Research
Let’s take an example in the world of natural-language processing, one of the areas where foundation models are already quite well established. With the previous generation of AI techniques, if you wanted to build an AI model that could summarize bodies of text for you, you’d need tens of thousands of labeled examples just for the summarization use case.
Research.ibm.comA Survey of the State of Explainable AI for Natural Language …
Recent years have seen important advances in the quality of state-of-the-art models, but this has come at the expense of models becoming less interpretable. This survey presents an overview of the current state of Explainable AI (XAI), considered within the domain of natural language processing (NLP).
Research.ibm.comWhat is retrieval-augmented generation? - IBM Research
Aug 22, 2023 · This assortment of external knowledge is appended to the user’s prompt and passed to the language model. In the generative phase, the LLM draws from the augmented prompt and its internal representation of its training data to synthesize an engaging answer tailored to the user in that instant.
Research.ibm.comNatural Language Processing for Automatic Problem-solving …
natural language processing models are developed to understand and learn from conversations in a chat room that identify and resolve supply chain problems. Steps and actions that uses take to resolve the problem can be automatically captured and assembled by the model.
Research.ibm.com