Trátase dun resumo extendido da ponencia[Abstract] We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary results that show that it is feasible to compress linguistic data into chunks without significantly diminishing parsing performance and potentially increasing the speed
Natural language processing problems (such as speech recognition, text-based data mining, and text o...
One of the most common operations in language process-ing are segmentation and labelling [7]. Chunki...
[Abstract] Dependency parsing has been built upon the idea of using parsing methods based on shift-...
We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where ling...
We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where ling...
The aim of this thesis is to improve Natural Language Dependency Parsing. We employ a linear Shift R...
Long sentences pose a challenge for natural language processing (NLP) applications. They are associa...
Many extensions to text-based, data-intensive knowledge management approaches, such as Information R...
This work addresses unsupervised chunking as a task for syntactic structure induction, which could h...
In Natural Language Processing (NLP), predicting linguistic structures, such as parsing and chunking...
In this paper we propose to use text chunking for controlling a bottom-up parser. As it is well know...
Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse l...
Chunking in language comprehension is a process that segments continuous linguistic input into small...
This paper reports on the experience of developing and applying a shallow parsing scheme, “chunking”...
The goal of the FASTPARSE project (Fast Natural Language Parsing for Large-Scale NLP), funded by the...
Natural language processing problems (such as speech recognition, text-based data mining, and text o...
One of the most common operations in language process-ing are segmentation and labelling [7]. Chunki...
[Abstract] Dependency parsing has been built upon the idea of using parsing methods based on shift-...
We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where ling...
We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where ling...
The aim of this thesis is to improve Natural Language Dependency Parsing. We employ a linear Shift R...
Long sentences pose a challenge for natural language processing (NLP) applications. They are associa...
Many extensions to text-based, data-intensive knowledge management approaches, such as Information R...
This work addresses unsupervised chunking as a task for syntactic structure induction, which could h...
In Natural Language Processing (NLP), predicting linguistic structures, such as parsing and chunking...
In this paper we propose to use text chunking for controlling a bottom-up parser. As it is well know...
Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse l...
Chunking in language comprehension is a process that segments continuous linguistic input into small...
This paper reports on the experience of developing and applying a shallow parsing scheme, “chunking”...
The goal of the FASTPARSE project (Fast Natural Language Parsing for Large-Scale NLP), funded by the...
Natural language processing problems (such as speech recognition, text-based data mining, and text o...
One of the most common operations in language process-ing are segmentation and labelling [7]. Chunki...
[Abstract] Dependency parsing has been built upon the idea of using parsing methods based on shift-...