6 papers
A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis
Muhammad Imran, Olga Kellert, Carlos Gómez-RodrÃguez
Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content. Syntactic pars…
Nested Named Entity Recognition as Single-Pass Sequence Labeling
Alberto Muñoz-Ortiz, David Vilares, Caio Corro +1
We cast nested named entity recognition (NNER) as a sequence labeling task by leveraging prior work that linearizes constituency structures, effectively reducing the complexity of…
Hierarchical Bracketing Encodings for Dependency Parsing as Tagging
Ana Ezquerro, David Vilares, Anssi Yli-Jyrä +1
We present a family of encodings for sequence labeling dependency parsing, based on the concept of hierarchical bracketing. We prove that the existing 4-bit projective encoding bel…
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages
Olga Kellert, Nemika Tyagi, Muhammad Imran +2
Code-switching presents a complex challenge for syntactic analysis, especially in low-resource language settings where annotated data is scarce. While recent work has explored the…
Comparing LLM-generated and human-authored news text using formal syntactic theory
Olga Zamaraeva, Dan Flickinger, Francis Bond +1
This study provides the first comprehensive comparison of New York Times-style text generated by six large language models against real, human-authored NYT writing. The comparison…
Better Benchmarking LLMs for Zero-Shot Dependency Parsing
Ana Ezquerro, Carlos Gómez-RodrÃguez, David Vilares
While LLMs excel in zero-shot tasks, their performance in linguistic challenges like syntactic parsing has been less scrutinized. This paper studies state-of-the-art open-weight LL…