Sparser, Better, Faster GPU Parsing

Joshua 5.0: Sparser, Better, Faster, Server

A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing

Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined on word-level. Therefore word segmentation is the precondition of depe…

Faster and Better Grammar-based Text-to-SQL Parsing via Clause-level Parallel Decoding and Alignment Loss

Grammar-based parsers have achieved high performance in the cross-domain text-to-SQL parsing task, but suffer from low decoding efficiency due to the much larger number of actions for grammar selection than that of token…

A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis

Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), addressing subjective assessments in textual content. Syntactic parsing is useful in SA because explicit syntactic information can improve…

Speech-to-SQL Parsing: Error Correction with Multi-modal Representations

We study the task of spoken natural language to SQL parsing (speech-to-SQL), where the goal is to map a spoken utterance to the corresponding SQL. Existing work on SQL parsing has focused on text as input (text-to-SQL). …