Scientific document retrieval using multi-level aspect-based queries
In scientific research, the ability to effectively retrieve relevant documents based on complex,
multifaceted queries is critical. Existing evaluation datasets for this task are limited, primarily …
multifaceted queries is critical. Existing evaluation datasets for this task are limited, primarily …
Doris-mae: Scientific document retrieval using multi-level aspect-based queries
In scientific research, the ability to effectively retrieve relevant documents based on complex,
multifaceted queries is critical. Existing evaluation datasets for this task are limited, primarily …
multifaceted queries is critical. Existing evaluation datasets for this task are limited, primarily …
Efficient fine-tuning large language models for knowledge-aware response planning
Abstract Large Language Models (LLMs) have shown impressive emergent language
capabilities, especially in applications with high ambiguity, such as language reasoning and …
capabilities, especially in applications with high ambiguity, such as language reasoning and …
Chatgpt is a potential zero-shot dependency parser
Pre-trained language models have been widely used in dependency parsing task and have
achieved significant improvements in parser performance. However, it remains an …
achieved significant improvements in parser performance. However, it remains an …
Dependency Graph Parsing as Sequence Labeling
Various linearizations have been proposed to cast syntactic dependency parsing as
sequence labeling. However, these approaches do not support more complex graph-based …
sequence labeling. However, these approaches do not support more complex graph-based …
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks
S Nehrdich, O Hellwig, K Keutzer - arxiv preprint arxiv:2409.13920, 2024 - arxiv.org
Morphologically rich languages are notoriously challenging to process for downstream NLP
applications. This paper presents a new pretrained language model, ByT5-Sanskrit …
applications. This paper presents a new pretrained language model, ByT5-Sanskrit …
Linguistic Guidance for Sequence-to-Sequence AMR Parsing
B Tang, B Lin, S Li - China National Conference on Chinese …, 2024 - Springer
Abstract The Abstract Meaning Representation (AMR) parsing aims at capturing the
meaning of a sentence in the form of an AMR graph. Sequence-to-sequence (seq2seq) …
meaning of a sentence in the form of an AMR graph. Sequence-to-sequence (seq2seq) …
Induçao gramatical para o português: a contribuiçao da informaçao mutua para descoberta de relaçoes de dependência
Indução gramatical é uma tarefa que busca aprender automaticamente estruturas sintáticas
a partir de texto. Poucos trabalhos de indução gramatical foram produzidos direcionados …
a partir de texto. Poucos trabalhos de indução gramatical foram produzidos direcionados …
Enhancing Multilingual Information Extraction Towards Global Linguistic Inclusivity
M Nguyen - 2024 - search.proquest.com
In our interconnected world, the diversity of around 7,000 languages presents challenges
and opportunities for bridging language barriers. Multilingual information extraction …
and opportunities for bridging language barriers. Multilingual information extraction …
Linguistic Guidance for Sequence-to-Sequence AMR Parsing
T Binghao, L Boda, L Si - Proceedings of the 23rd Chinese …, 2024 - aclanthology.org
Abstract “The Abstract Meaning Representation (AMR) parsing aims at capturing the
meaning of a sen-tence in the form of an AMR graph. Sequence-to-sequence (seq2seq) …
meaning of a sen-tence in the form of an AMR graph. Sequence-to-sequence (seq2seq) …