Results 31 to 40 of about 636 (187)
Disambiguation Filters for Scannerless Generalized LR Parsers [PDF]
In this paper we present the fusion of generalized LR parsing and scannerless parsing. This combination supports syntax de.nitions in which all aspects (lexical and context-free) of the syntax of a language are de.ned explicitly in one formalism. Furthermore, there are no restrictions on the class of grammars, thus allowing a natural syntax tree ...
Mark van den Brand +3 more
openaire +6 more sources
Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher +4 more
wiley +1 more source
(Generalized) LR parsing: From Knuth to Tomita [PDF]
This paper is a short introduction to the research in LR parsing and its applications. It is concerned with the history of LR grammars and languages, LR parsing and parser optimization, generalizations of the LR grammar definition and parsing method ...
Hemels, Rob +3 more
core +1 more source
Navigating Stress: Exploring the Role of Empathy in Caregiving
ABSTRACT Stress can negatively impact caregiving behavior; while chronic stress is consistently associated with reduced caregiver sensitivity, evidence regarding acute stress remains mixed. This preregistered study examined the causal effects of acute psychosocial stress on caregiver sensitivity with an experimental pseudorandomized design.
Hannah Spencer +4 more
wiley +1 more source
Generative Artificial Intelligence and Large Language Models in Clinical Oncology
By integrating multimodal data, including medical imaging, pathology, omics, and electronic health records, generative AI and LLMs support cancer diagnosis, treatment planning, and follow‐up management. These technologies also enhance physician–patient communication, improve personalized treatment strategies, and leverage intelligent agent automation ...
Yunfang Yu +14 more
wiley +1 more source
Flowchart of the proposed process. ABSTRACT This paper explores machine learning‐based discovery of Indian‐origin scientists working overseas with a fused multi‐institution dataset of 4280 records retrieved in seven research institutions: Ames Laboratory, AMNH, Broad Institute, DRI, NIDDK‐NIH, Salk Institute, and Van Andel Institute.
Shivani Gautam +6 more
wiley +1 more source
Automatic error recovery for LR parsers in theory and practice [PDF]
This thesis argues the need for good syntax error handling schemes in language translation systems such as compilers, and for the automatic incorporation of such schemes into parser-generators.
Dain, Julia Anne
core
Minimum distance error correction [PDF]
A method is presented for incorporating error correction using a minimum distance measure into LR parsers. The method is suitable for use by an automatic parser-generator.
Dain, Julia Anne
core
Incremental Parser Generation for Tree Adjoining Grammars [PDF]
This paper describes the incremental generation of parse tables for the LR-type parsing of Tree Adjoining Languages (TALs). The algorithm presented handles modifications to the input grammar by updating the parser generated so far.
Anoop Sarkar
core +1 more source
On LR(k)-parsers of polynomial size
Usually, a parser for an $LR(k)$-grammar $G$ is a deterministic pushdown transducer which produces backwards the unique rightmost derivation for a given input string $x \in L(G)$. The best known upper bound for the size of such a parser is $O(2^{|G||Σ|^k+k\log |Σ| + \log |G|})$ where $|G|$ and $|Σ|$ are the sizes of the grammar $G$ and the terminal ...
openaire +2 more sources

