Abstract. Many methods in computational linguistics rely on shallow processing to achieve their goals. The advantage of these methods in comparison to deep processing is that they do not require the building of elaborate representations of the text to be processed or to perform reasoning on this data, and as a result they can be more easily implemented. This paper shows how shallow methods for automatic summarisation can improve their performance by adding different types of linguistic information. 1
We present how the conceptually and numerically simple concept of a fuzzy linguistic database summar...
Computational linguistics (CL) is an interdisciplinary mix of computer science and linguistics with ...
The thesis describes an investigation of the feasibility of resolving anaphors in natural language t...
Many experiments have shown that traditional approaches to both Natural Language Processing (NLP) an...
There are presently a number of NLP tools available which can provide semantic information about a s...
This article introduces the problem of partial or shallow parsing (assigning partial syntactic struc...
In this paper we will present an approach to natural language processing which we define as "hybrid"...
In this article we address the usefulness of linguistic-independent methods in extrac-tive Automatic...
The topic of this book is the theoretical foundations and the implementation and the results of a sy...
Generation of linguistic summaries that are compact, short and relevant to the user remains an open ...
Linguistic summaries of databases provide quick insight in the stored data and are important facilit...
Developing tools for doing computational linguistics work in low-resource scenarios often requires c...
Language technology is when a computer processes human languages in some way. Since human languages ...
The amount and complexity of generated and collected data is rapidly growing. As a consequence, it i...
We present how the conceptually and numerically simple concept of a fuzzy linguistic database summar...
Computational linguistics (CL) is an interdisciplinary mix of computer science and linguistics with ...
The thesis describes an investigation of the feasibility of resolving anaphors in natural language t...
Many experiments have shown that traditional approaches to both Natural Language Processing (NLP) an...
There are presently a number of NLP tools available which can provide semantic information about a s...
This article introduces the problem of partial or shallow parsing (assigning partial syntactic struc...
In this paper we will present an approach to natural language processing which we define as "hybrid"...
In this article we address the usefulness of linguistic-independent methods in extrac-tive Automatic...
The topic of this book is the theoretical foundations and the implementation and the results of a sy...
Generation of linguistic summaries that are compact, short and relevant to the user remains an open ...
Linguistic summaries of databases provide quick insight in the stored data and are important facilit...
Developing tools for doing computational linguistics work in low-resource scenarios often requires c...
Language technology is when a computer processes human languages in some way. Since human languages ...
The amount and complexity of generated and collected data is rapidly growing. As a consequence, it i...
We present how the conceptually and numerically simple concept of a fuzzy linguistic database summar...
Computational linguistics (CL) is an interdisciplinary mix of computer science and linguistics with ...
The thesis describes an investigation of the feasibility of resolving anaphors in natural language t...